A comprehensive bibliometric analysis of the literature between 1945 and 2024 about urinary tract echinococcosis.

BACKGROUND: Echinococcosis is a parasitic disease caused by Echinocccus granulosus and Echinococcus multilocularis and declared a neglected tropical disease by the World Health Organization. The disease is a significant cause of morbidity and mortality, especially in India, Australia, China, Turkey, South America, the Middle East, and Eastern European countries. Bibliometric analysis is a popular research trend that gains the advantage of evaluating all the studies about one specific topic and emphasizing the importance and place of the subject in the literature. With this study, we aim to evaluate all the global published literature in the Web of Science core collection database about urinary tract echinococcosis between 1945 and 2024. METHODS: All documents indexed in the Web of Science core collection database between 1945 and 2024 were scanned on March 29, 2024. VOSviewer program 1.6.20 and MS Office Excel 2017 programs were used for forward analysis. RESULTS: 152 documents were obtained, 102 of which were indexed in SCI-Expanded journals. Turkey (21.71%) was the leading country in terms of the total number of documents, followed by India (21.05%), but citations of Indian publications were higher (21.77%). Spain was in the first rank in terms of average citations per document (19.33). Most of the documents were original articles (78.29%). Okan Akhan was the most prolific author, with three documents. The most-cited document was conducted in 1997 by Angulo et al. and received 74 citations. With seven publications, Urology Case Reports was the journal that published the most documents on urinary tract echinococcosis. CONCLUSIONS: Evaluating the studies on urinary system echinococcosis with bibliometric analysis, it is understood that although the number of studies has gradually increased over the years, they are still less than expected. We recommend that more studies be conducted to determine the true prevalence of echinococcosis and ensure more effective management of the disease, especially in countries where it is endemic.

A bibliometric analysis of contrast-enhanced ultrasound over the past twenty years.

Background: Contrast-enhanced ultrasound (CEUS) technology has been developed for decades, and its application is becoming increasingly more extensive. In this study, bibliometrics was used to characterize the development status of CEUS over the past 20 years and to identify future research hotspots. Methods: We collected data from the Web of Science and analyzed the literature related to CEUS published from 2002 to 2022. We examined 6,382 publications and analyzed the publication year, country of origin, affiliated institutions, authors, journal, categories, keywords, and research frontiers within the relevant literature. Using bibliometric analysis, we aimed to determine the general research direction and current publication trends. This allowed us to identify the most prolific and outstanding authors, institutions, countries, and keywords in CEUS research. For data collection, analysis, and visualization, we employed VOSviewer (Leiden University, Leiden, the Netherlands), Excel (Microsoft Corp., Redmond, WA, USA), CiteSpace, and biblioshiny. These tools helped us gather, analyze, and visualize the data effectively. Results: The analyzed publications indicated a consistent upward trend in the number of works published between 2002 and 2022. Notably, China and Sun Yat-sen University emerged as the most prolific countries and institutions, respectively. China published 391 articles with 5,817 citations and was the leader in terms of international cooperation. Moreover, pediatrics-related keywords have surged in frequency in recent years. Conclusions: The amount of research on CEUS has increased rapidly and continues to grow, with China being at the forefront of this research field. The application of CEUS in some pediatric diseases is a recent research hotspot and perhaps warrants close attention.

Current status and trend of mitochondrial research in lung cancer: A bibliometric and visualization analysis.

This study summarizes and analyzes the relationship between mitochondria and the pathogenesis of lung cancer. The related articles in the Web of Science core literature database are searched and collected, and the data are processed by R software, Citespace, VOSviewer, and Excel. A total of 4476 related papers were retrieved, 4476 articles from 20162 co-authors of 3968 institutions in 84 countries and published in 951 journals. Through various bibliometric analysis tools, the relationship between mitochondria and the pathogenesis of lung cancer was analyzed, the previous research results were summarized, and the potential research direction was found.

Bibliometrics and knowledge mapping of the pathogenesis of hepatic encephalopathy in patients with liver cirrhosis.

Background: Hepatic encephalopathy is a common and serious complication of decompensated cirrhosis. It can considerably contribute to economic burden and impaired quality of life. However, its pathogenesis remains unclear. Method: In this study, we aimed to visually analyse the research status and development trends in hepatic encephalopathy pathogenesis using bibliometrics and knowledge mapping. Information regarding publications between 1978 and 2022 were obtained from the Web of Science Core Collection. CiteSpace was used to analyse and present data by year, author, institution, country, journal, reference, and keyword. Results: A total of 1578 publications on hepatic encephalopathy pathogenesis in patients with cirrhosis were retrieved from Web of Science Core Collection. A gradual increasing trend in annual publications has occurred. The collaborative network analysis results suggest the United States of America, the University of London, and Bajaj, Jasmohan S as the most influential country, institution, and author, respectively, in this research field. Notably, China appeariiuis to be the most promising country. Research on 'hepatology' garners the most significant papers in the field. Combined with reference co-citation and keyword co-occurrence analyses, we found that ammonia metabolism, gut microbiota, sarcopenia, and trace elements will become future research frontiers that are likely to be explored for a considerable length of time. Conclusion: Future research directions in HE pathogenesis may target modulating the ammonia metabolism, the gut microbiota, sarcopenia, and trace elements.

Past and present: a bibliometric study on the treatment of recurrent ovarian cancer.

Background: Ovarian cancer (OC) is a gynecological malignancy with a high mortality rate worldwide. The unfavorable prognosis of OC is mainly attributed to the recurrent propensity. Recently, mortality from OC has exhibited a downward trend. These favorable patterns are likely to be driven by advancements in novel therapeutic regimens. However, there is a lack of visualize analysis of the application of these new drugs on women with recurrent OC (ROC). Therefore, we aimed to provide a bibliometric analysis of the evolving paradigms in the ROC treatment. Methods: Documents on ROC treatment were systematically collected from the MEDLINE database and Web of Science Core Collection (WOSCC). The retrieved documents were exported in the plain text file format, and files were named and saved to the paths specified by the Java application. Microsoft Excel (version 2010), Citespace (6.2.R4) and VOSviewer (1.6.19) were used for data analysis, and included the following: 1) annual publication trend; 2) contributions of countries, institutions and authors; 3) co-citation of journals and references; and 4) co-occurrence of keywords. Results: A total of 914 documents published in the MEDLINE and 9,980 ones in WOSCC were retrieved. There has been an upward trend in the productivity of publications on ROC treatment on by years. The United States was the leading contributor in this field, and the University of Texas System stood out as the most productive institution. Giovanni Scambia and Maurie Markman were the research leaders in the field of ROC treatment. The journal Gynecologic Oncology had the highest citation frequency. The reference entitled with "Niraparib Maintenance Therapy in Platinum-Sensitive, Recurrent Ovarian Cancer" got highest centrality of 0.14 in the co-citation network. Keyword analysis revealed that the focus of current ROC treatment was on platinum-based anticancer drugs, paclitaxel, angiogenesis inhibitors (AIs), immune checkpoint inhibitors (ICIs) and poly (ADP-ribose) polymerase inhibitors (PARPis). Conclusion: Scholars from a multitude of countries have been instrumental in the advancement of ROC treatment. The research hotspots and trend in the field of predominantly originated from leading international journals and specialized periodicals focused on gynecologic oncology. Maintenance therapy using AIs or (and) PARPis has emerged as a significant complement to platinum-based chemotherapy for patients with ROC.

Tracing the Evolution: A Comprehensive Bibliometric Analysis of Drug Interaction Clinical Studies.

This study aims to meticulously map the bibliometric landscape of drug-drug interactions (DDIs) in clinical research. This represents the first use of bibliometric analysis to comprehensively highlight the evolutionary trends and core themes in this critical field of pharmacology. An exhaustive bibliometric search was performed within the Web of Science Core Collection, aiming to comprehensively gather literature on DDIs in clinical settings. A combination of sophisticated analytical tools including DIKW, VOSviewer, and Citespace was utilized for an in-depth exploration of bibliometric patterns and trends. Of the 3421 initially identified articles, 2622 were considered relevant. The analysis revealed a marked escalation in DDIs publications, with a peak observed in 2020. Five principal thematic clusters emerged: Safety and Adverse Reactions, Drug Metabolism and Efficacy, Disease and Drug Treatment, Research Methods and Practices, and Special Populations and Combined Medication. Key insights included the escalating significance of drug metabolism in pharmacokinetics, heightened focus on cardiovascular and antiviral therapeutics, and the advancing frontier of personalized medicine. Additionally, the analysis underscored the necessity for strategic attention to vulnerable populations and innovative methodological approaches. This study calls for the global harmonization of research methods in DDIs clinical investigations, advocating for the integration of personalized medicine paradigms and the implementation of cutting-edge computational analytics. It highlights the imperative for inclusive and collaborative research approaches to adeptly address the intricate challenges of contemporary pharmacotherapy.

Occurrence and removal technologies of perchlorate in water: A systematic review and bibliometric analysis.

The pollution resulting from the emergence of the contaminant perchlorate is anticipated to have a substantial effect on the water environment in the foreseeable future. Considerable research efforts have been devoted to investigating treatment technologies for addressing perchlorate contamination, garnering widespread international interest in recent decades. A systematic review was conducted utilizing the Web of Science, Scopus, and Science Direct databases to identify pertinent articles published from 2000 to 2024. A total of 551 articles were chosen for in-depth examination utilizing VOS viewer. Bibliometric analysis indicated that countries such as China, the United States, Chile, India, Japan, and Korea have been prominent contributors to the research on this topic. The order of ClO4- occurrence was as follows: surface water > groundwater > drinking water. Various remediation methods for perchlorate contamination, such as adsorption, ion-exchange, membrane filtration, chemical reduction, and biological reduction, have been suggested. Furthermore, the research critically evaluated the strengths and weaknesses of each approach and offered recommendations for addressing their limitations. Advanced technologies have shown the potential to achieve notably enhanced removal of perchlorate and co-contaminants from water sources. However, the low concentration of perchlorate in natural water sources and the high energy consumption related to these technologies need to be solved in order to effectively remove perchlorate from water.

Bibliometric analysis of the correlation between H. pylori and inflammatory bowel disease.

Background: Helicobacter pylori (H. pylori) infection is prevalent and associated with the development of various gastric diseases. On the other hand, inflammatory bowel disease (IBD) is an immune-related intestinal disorder influenced by factors like gut microbiota imbalance, genetic predisposition, and environmental influences. Despite extensive research on the H. pylori-IBD relationship, a comprehensive bibliometric analysis in this area is lacking. Therefore, this study aims to use bibliometric methods to explore research trends, hotspots, and frontiers in H. pylori and IBD-related research, offering valuable insights for future research and clinical practice. Methods: We retrieved relevant literature on H. pylori and IBD from the Web of Science Core Collection (WoSCC) and Scopus databases covering 2007 to 2024. We perform a comprehensive analysis within the WoSCC literature. We compare these findings with relevant results from Scopus. Results: Research on H. pylori and IBD has remained prominent in recent years. The United States leads in output, with strong contributions from authors, institutions, and journals. China, despite being a developing country, shows rapid article growth, signaling growing research potential. Key topics include Crohn's disease, gut microbiota, H. pylori infection, and ulcerative colitis. Newer interests include health, cancer prevention, and chronic gastritis. Conclusion: Over the past, research on H. pylori and IBD has primarily centered around epidemiology and clinical studies. The question of whether H. pylori definitively offers protective effects against IBD remains unresolved. Therefore, further investigation could explore the underlying mechanisms of their relationship or initiate long-term prospective cohort studies to gather more compelling evidence.

Research trends and hotspot evolution of exercise-regulated myokines: a bibliometric analysis from 2003 to 2023.

Background: The lack of physical activity is a common issue in modern society and is considered a major risk factor for various chronic non-communicable diseases. Bioactive factors secreted by skeletal muscle during exercise play a crucial role in inter-organ interactions. Since the concept of "myokines" was proposed in 2004, hundreds of regulatory myokines have been identified. Visual analysis of research on exercise-regulated myokines is significant to explore research hotspots and frontiers in this field. Methods: Research literature on exercise-regulated myokines from 2003 to 2023 in the "Web of Science" database was used as the data source. Knowledge maps were drawn using "VOS Viewer, CiteSpace, and R-bibliometrix" software. Results: A total of 1,405 papers were included, showing a fluctuating yet slow growth in annual publications. The United States and China led in the number of publications and collaboration networks. Harvard University ranked first with 120 publications. CIBER (centrality 0.16) and the University of California System (centrality 0.16) were pivotal in advancing this field. PEDERSEN BK led author rankings with 41 publications and 1,952 citations. FRONTIERS IN PHYSIOLOGY ranked first among journals with 64 publications and the highest g-index (39), while PLoS One had the highest h-index (25) and most citations (2,599). Key co-cited reference clusters included #1 skeletal muscle dysfunction, #2 obesity, #6 ASCs, and #7 adaptive immunocytes. Pontus Boström's paper had a notable citation burst intensity of 77.37. High-frequency keywords were "exercise" (509), "skeletal muscle" (452), and "expression" (293), with long-term keywords such as #0 irisin, #2 insulin resistance, #3 transcription, and #6 physical activity. Recently, keywords like "physical exercise," "resistance exercise," "aerobic exercise," "insulin," and "oxidative stress" have emerged. Conclusion: Research in the field of exercise-regulated myokines shows an overall upward trend. The focus areas include myokines mediated by different types of exercise, the interaction of irisin-mediated muscle with other organs, and the important role of myokine-mediated oxidative stress in exercise simulation.

Global research of artificial intelligence in eyelid diseases: A bibliometric analysis.

Purpose: To generate an overview of global research on artificial intelligence (AI) in eyelid diseases using a bibliometric approach. Methods: All publications related to AI in eyelid diseases from 1900 to 2023 were retrieved from the Web of Science (WoS) Core Collection database. After manual screening, 98 publications published between 2000 and 2023 were finally included. We analyzed the annual trend of publication and citation count, productivity and co-authorship of countries/territories and institutions, research domain, source journal, co-occurrence and evolution of the keywords and co-citation and clustering of the references, using the analytic tool of the WoS, VOSviewer, Wordcloud Python package and CiteSpace. Results: By analyzing a total of 98 relevant publications, we detected that this field had continuously developed over the past two decades and had entered a phase of rapid development in the last three years. Among these countries/territories and institutions contributing to this field, China was the most productive country and had the most institutions with high productivity, while USA was the most active in collaborating with others. The most popular research domains was Ophthalmology and the most productive journals were Ocular Surface. The co-occurrence network of keywords could be classified into 3 clusters respectively concerned about blepharoptosis, meibomian gland dysfunction and blepharospasm. The evolution of research hotspots is from clinical features to clinical scenarios and from image processing to deep learning. In the clustering analysis of co-cited reference network, cluster "0# deep learning" was the largest and latest, and cluster "#5 meibomian glands visibility assessment" existed for the longest time. Conclusions: Although the research of AI in eyelid diseases has rapidly developed in the last three years, there are still gaps in this area. Our findings provide researchers with a better understanding of the development of the field and a reference for future research directions.

Global research status and trends of interactions between Traditional Chinese medicine and pulmonary fibrosis: A new dawn in treatment.

Background: Pulmonary fibrosis (PF) remains a major sequela of COVID-19, yet its pharmacotherapy remains unsatisfactory. Recently, Traditional Chinese medicine (TCM) has garnered increasing recognition among patients and researchers because of its few side effects and efficacy. The objective of this study is to use bibliometric analysis to explore the current research landscape and emerging trajectories of TCM treating PF(TCM/PF) researches, and comprehensively evaluate publications with substantial citations within the domain of TCM/PF. Materials and methods: TCM/PF publications from 1996 to June 15, 2023 were identified by a comprehensive search of the Web of Science Core Collection (WoSCC). The Bibliometrix of Origin, CiteSpace, Gephi, dycharts and VOSviewer were used for bibliometric analysis. Results: A total of 358 papers were included. A rapid increase in the number of papers after 2013 was observed. China had the highest publication output and research contributions in this field. Beijing University of Traditional Chinese Medicine and Nanjing University of Traditional Chinese Medicineare leaders in productive research of this field. Nanjing University of Traditional Chinese Medicine had the highest citations (227). LI JIANSHENG from Henan University of Chinese Medicine was the most prolific author (8), with the highest number of citations (61), and TONG XIAO LIN from China Academy of Chinese Medical Sciences had the highest H-index (30). The leading journal publishing the most research (37) is Frontiers in Pharmacology and the Journal of Ethnopharmacology had the highest total citations (486). Burst analysis of keywords revealed three distinct phases of research. 1996 to 2013 marked the nascent stage of TCM/PF research; from 2014 to 2018, studies gradually focused on the underlying mechanisms governing TCM/PF. The most significant phase occurred from 2019 onward, where TCM/PF exhibited an explosive growth trend. This progression signifies a transition from foundational explorations to a comprehensive understanding of the mechanisms involved, ultimately leading to the current surge in research activities focused on TCM/PF. Notable research teams of this stage, led by LI JIAN SHENG and TONG XIAO LIN, have been at the forefront of advancing TCM/PF research. Their studies on Jinshui Huanxian formula and Qimai Feiluoping decoction have been pivotal in advancing the frontier of research in this domain. Furthermore, the monomeric compounds, including emodin, curcumin, salvianolic acid, baicalin, and oxymatrine, have sustained longstanding prominence. Conclusions: This study gained insight into the research status, focal areas and evolving trends of global TCM/PF research. It also identified the most cited articles in TCM/PF and analyzed their characteristics, which may hold significant relevance for both clinical researchers and practitioners on future directions in this field.

Mechanisms of exercise intervention in type 2 diabetes: a bibliometric and visualization analysis based on CiteSpace.

Objective: Type 2 diabetes (T2D) is a common chronic metabolic disease, and its prevalence is increasing globally. Exercise is crucial for T2D management, yet many aspects of its mechanisms remain unclear. This study employs CiteSpace to reveal research hotspots and frontier issues in exercise intervention for T2D. Method: A literature review spanning from January 1, 2013 to December 31, 2022, was conducted using the Web of Science Core Collection (WoSCC), with keywords including "exercise," "type 2 diabetes," and "mechanisms." We analyzed network diagrams generated by CiteSpace, which depicted relationships among countries, authors, and keywords. Results: This study includes 1,210 English papers from 555 journals, affiliated with 348 institutions across 80 countries/regions. Notably, the United States, China, and the United Kingdom account for nearly half of all publications. The University of Copenhagen leads in publication volume, followed by Harvard Medical School and the University of Colorado. Key authors include Kirwan, John P (Case Western Reserve University), Malin, Steven K (Rutgers University), and Pedersen, Bente Klarlund (University of Copenhagen). Based on co-occurrence analysis of keywords, it is evident that terms such as "disease," "glucagon-like peptide 1," and "cardiovascular risk factor" exhibit high intermediary centrality. Conclusion: The analysis highlights ongoing investigations into molecular mechanisms, such as ß-cell function enhancement, exerkines, and epigenetic mechanisms. Emerging areas include exercise response heterogeneity, circadian rhythm regulation, transcription factors, neurotrophic factors, and mitochondrial function. Future studies should prioritize understanding interactions between different exercise mechanisms and optimizing exercise prescriptions for T2D. Exercise prescriptions are crucial for effective interventions. Collaboration between countries and institutions is essential to understand the influences of different genetic backgrounds and environmental factors. Currently, a combination of aerobic and resistance training is considered the optimal form of exercise. However, considering time efficiency, high-intensity interval training (HIIT) has gained widespread attention and research due to its ability to achieve similar exercise effects in a shorter duration. Additionally, circadian rhythm regulation may affect the exercise outcomes of diabetic individuals at different times of the day, particularly concerning the specific types, doses, and intensities used for precision intervention in T2D.

Bibliometric Analysis of TREM2 (2001-2022): Trends, Hotspots and Prospects in Human Disease.

Background: Triggering receptor expressed in myeloid cells 2 (TREM2), a transmembrane receptor, has garnered extensive research attention due to its pivotal role in the diagnosis and treatment of various diseases. Despite the abundance of studies on its function, there is a gap in comprehensive analysis and summarization of the current state of this research field. Methods: Articles and reviews related to TREM2 were retrieved from the Web of Science Core Collection (WOSCC) on October 1, 2023. A bibliometric analysis of TREM2 was conducted using CiteSpace, VOSviewer and Bibliometrix (R package). Results: A total of 1,502 articles, spanning from 2001 to 2022, met the search criteria. The number of publications and citations has increased steadily over the years. The United States and China are the most active countries in TREM2 research, with the University of Washington as the leading research institution. The most influential journal in the field is Neurology of Aging. The predominant research areas include molecular, biology and immunology. Alzheimer's disease, microglia, variants, and inflammation are significant keywords. Emerging directions such as metabolism and tumor microenvironment have recently gained attention in numerous studies. Conclusion: The current study utilizes bibliometric analysis software and visual graphics to intuitively highlight TREM2-related hotspots, trends, and prospects in human disease. Such insights are valuable for scholars seeking a deeper understanding of TREM2-related research progress, enabling a focused approach to its application in human disease.

Sustainable agriculture in the digital era: Past, present, and future trends by bibliometric analysis.

The digital era is reshaping agricultural practices, opening new avenues for sustainable growth, and proving indispensable in global challenges like food security and environmental conservation. However, a comprehensive understanding of this evolving landscape remains paramount. This research evaluates 344 papers from the Web of Science database to delve into sustainable agriculture's historical and current patterns in the digital era through bibliometric analysis and project future domains. Specifically, citation analysis identified influential papers, journals, institutions, and countries, while co-authorship analysis verified the interactions between authors, affiliations, and countries. Co-citation analysis found four hotspot clusters: prosperity and challenges in agricultural sustainability, digital information and agricultural development, innovations for sustainable agriculture, and geospatial analysis in environmental studies. The co-occurrence of keywords analysis revealed four main clusters for future studies: smart agriculture and biodiversity conservation, digitalization and sustainable agriculture, technologies and agricultural challenge management, and digital intelligence and farmer adoption. The study pioneers the use of bibliometric analysis to explore sustainable agriculture in the digital era. It presents invaluable insights into the evolving landscape of this field, summarizing its hotspots and suggesting future trajectories.

An overview of environmental risk factors for type 2 diabetes research using network science tools.

Objective: Current studies lack a comprehensive understanding of the environmental factors influencing type 2 diabetes, hindering an in-depth grasp of the overall etiology. To address this gap, we utilized network science tools to highlight research trends, knowledge structures, and intricate relationships among factors, offering a new perspective for a profound understanding of the etiology. Methods: The Web of Science database was employed to retrieve documents relevant to environmental risk factors in type 2 diabetes from 2012 to 2024. Bibliometric analysis using Microsoft Excel and OriginPro provided a detailed scientific production profile, including articles, journals, countries, and authors. Co-occurrence analysis was employed to determine the collaboration state and knowledge structures, utilizing social network tools such as Gephi, Tableau, and R Studio. Additionally, theme evolutionary analysis was conducted using SciMAT to offer insights into research trends. Results: The publications and themes related to environmental factors in type 2 diabetes have consistently risen, shaping a well-established research domain. Lifestyle environmental factors, particularly diet and nutrition, stand out as the most represented and rapidly growing topics. Key focal hotspots include sedentary and digital behavior, PM2.5, ethnicity and socioeconomic status, traffic and greenspace, and depression. The theme evolutionary analysis revealed three distinct paths: (1) oxidative stress-air pollutants-PM2.5-air pollutants; (2) calcium-metabolic syndrome-cardiovascular disease; and (3) polychlorinated biphenyls (PCBs)-persistent organic pollutants (POPs)-obesity. Conclusions: Digital behavior signifies a novel approach for preventing and managing type 2 diabetes. The influence of PM2.5 and calcium on oxidative stress and abnormal vascular contraction is intricately linked to microvascular diabetes complications. The transition from PCBs and POPs to obesity underscores the disruption of endocrine function by chemicals, elevating the risk of diabetes. Future studies should explore the connections between environmental factors, microvascular complications, and long-term outcomes in diabetes.

Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis.

BACKGROUND: With the rise of artificial intelligence (AI) in the field of dementia biomarker research, exploring its current developmental trends and research focuses has become increasingly important. This study, using literature data mining, analyzes and assesses the key contributions and development scale of AI in dementia biomarker research. OBJECTIVE: The aim of this study was to comprehensively evaluate the current state, hot topics, and future trends of AI in dementia biomarker research globally. METHODS: This study thoroughly analyzed the literature in the application of AI to dementia biomarkers across various dimensions, such as publication volume, authors, institutions, journals, and countries, based on the Web of Science Core Collection. In addition, scales, trends, and potential connections between AI and biomarkers were extracted and deeply analyzed through multiple expert panels. RESULTS: To date, the field includes 1070 publications across 362 journals, involving 74 countries and 1793 major research institutions, with a total of 6455 researchers. Notably, 69.41% (994/1432) of the researchers ceased their studies before 2019. The most prevalent algorithms used are support vector machines, random forests, and neural networks. Current research frequently focuses on biomarkers such as imaging biomarkers, cerebrospinal fluid biomarkers, genetic biomarkers, and blood biomarkers. Recent advances have highlighted significant discoveries in biomarkers related to imaging, genetics, and blood, with growth in studies on digital and ophthalmic biomarkers. CONCLUSIONS: The field is currently in a phase of stable development, receiving widespread attention from numerous countries, institutions, and researchers worldwide. Despite this, stable clusters of collaborative research have yet to be established, and there is a pressing need to enhance interdisciplinary collaboration. Algorithm development has shown prominence, especially the application of support vector machines and neural networks in imaging studies. Looking forward, newly discovered biomarkers are expected to undergo further validation, and new types, such as digital biomarkers, will garner increased research interest and attention.

A bibliometric analysis of follicular thyroid carcinoma: Current situation, hot spots, and global trends.

BACKGROUND: Follicular thyroid carcinoma (FTC), the second most prevalent thyroid cancer after papillary thyroid cancer (PTC), tends to metastasize distantly, leading to poorer outcomes. Despite substantial research, a holistic bibliometric analysis of FTC literature is lacking. This study aims to fill this gap by employing bibliometric methods to track FTC research evolution. METHODS: English FTC publications were systematically gathered from the Web of Science. Bibliometric analysis, using R, VOSviewer, CiteSpace, and Excel, synthesized data and explored global research trends and topics. RESULTS: From 2000 to 2023, 9086 authors from 1953 institutions across 75 countries contributed to 1776 papers in 491 academic journals on FTC. The last two decades have witnessed a steady increase in publications related to FTC, with the United States leading in terms of publication volume. The United States dominated both in publications and citations, with the National Cancer Institute and Sheue-Yann Cheng as leading contributors. The journal 'Thyroid' featured the most publications, while the 'Journal of Clinical Endocrinology and Metabolism' ranked highest in citation frequency. Research focused on gene expression analysis and preoperative diagnostics, with recent trends shifting toward prognosis management and machine learning due to advances in medical technology and increased health awareness. CONCLUSION: This comprehensive bibliometric analysis has mapped the landscape of FTC research, highlighting key contributors, institutions, and thematic trends. Current discourse predominantly revolves around genetic analysis, prognostic determinants, and preoperative diagnostics in FTC. This foundational work guides future FTC research, providing insights into its evolution.

Trends in fetal alcohol spectrum disorder research: A bibliometric review of original articles published between 2000 and 2023.

Fetal alcohol spectrum disorder (FASD) is a leading cause of neurodevelopmental disability globally. International organizations have highlighted an urgent need for improved prevention, diagnosis, and support. However, the evidence base needed to inform this is thought to be limited. We conducted two complementary reviews to (i) describe trends in the volume and characteristics of original FASD research articles (Review 1) and (ii) compare the volume of published research on FASD to that of other neurodevelopmental disorders (Review 2). In Review 1, we systematically searched MEDLINE, Embase, CINAHL and PsycInfo for original studies with FASD terms in the title, published between 2000 and 2023. We summarised study characteristics including the article topic(s), sample population, country of origin, and publication year using quantitative content analysis and time-series plots. A total of 854 studies were eligible. Studies showed a relative focus on diagnosis and screening, compared to prevention and intervention. FASD research originated from 31 countries, however most countries (68%) had fewer than 10 articles published over the 23-year review period. In Review 2, we searched PubMed for records published between 2000 and 2023 with FASD, autism, or attention-deficit-hyperactivity disorder (ADHD) terms in the title. We compared the volume of records for these conditions using descriptive statistics and time-series plots. Of the 64,069 records retrieved, 2% were for FASD, compared to 60% for autism and 38% for ADHD. FASD remains considerably under-researched. While there has been an increase in the number of original FASD research articles published annually over time, this is much lower than expected compared to publication trends for other neurodevelopmental conditions, and the wider scientific literature. Further research is needed to understand the impact of FASD across the lifespan, to inform evidence-based policy and support, and to advance progress in strength-based, stigma-reducing approaches to FASD research and practice.

Plant natural compounds in the cancer treatment: A systematic bibliometric analysis.

Plant-derived natural compounds are significant resources for the discovery of potential anticancer drugs. While research in the plant-based anticancer field has surged in recent years, systematic bibliometric analyses covering a longer period and containing up-to-date publications remain scarce. Here, we conducted a bibliometric analysis of literature on the anticancer properties of plant natural compounds over the past three decades, leveraging the bibliometric framework and open-access platform, KNIME. Our findings showed that the number of plant anticancer-related publications underwent an accelerating growth from 1992 to 2023. The country and institution analyses revealed that countries with traditional medical systems contributed a large portion of publications in the plant anticancer field, such as India, China, and South Korea. This study also highlighted the top ten eminent researchers and publications, assisting researchers in identifying pivotal literature. The primary publications were domains of chemistry and biology-related fields, such as Pharmacology & Pharmacy, Plant Sciences, and Biochemistry & Molecular Biology. Additionally, we noted that flavonoids have been focal plant compounds in anticancer, with strong anticancer potential. Our study provides new insights into the progress and trends in the plant anticancer field and will assist researchers in grasping the future research direction.