Publication trends of vascular endothelial growth factor (VEGF) and anti-VEGF treatment in neovascular age-related macular degeneration during 2001-2020: a 20-year bibliometric study.

PURPOSE: This study sought to provide an overview of the current research and further analyze publication trends in the field of vascular endothelial growth factor (VEGF) and anti-VEGF treatment for neovascular age-related macular degeneration (NVAMD). METHODS: We downloaded all related publications from 2001 to 2020 from the Web of Science Core Collection and conducted a bibliometric analysis using the bibiometrix package in R programming software. RESULTS: A total of 3717 publications were included in the analysis. The USA contributed the largest number of publications (1443), and achieved the highest number of citations (74,946) and H-index value (28). Johns Hopkins University, USA, was the top institution with the most publications, and Peter A. Campochiaro was the most productive professor at The Wilmer Eye Institute, USA. 9.60% of the total publications were from the Journal of Retinal and Vitreous Diseases. Trend analysis demonstrated that anti-VEGF therapy was introduced in early 2000 after steroids, and the last 2 decades have witnessed the blossom of several anti-VEGF agents. "Treat-and-extend" and "resistance" were two popular trend topics in recent years. CONCLUSIONS: The USA occupies a dominant position in the research field of VEGF and anti-VEGF treatments in NVAMD. Steroid administration, photodynamic therapy, and anti-VEGF therapy have been pivotal advances in the treatment of NVAMD patients over the past 2 decades. Limited acting period and resistance are potential investigation directions in future studies.

Exploring machine learning applications in Meningioma Research (2004-2023).

Objective: This study aims to examine the trends in machine learning application to meningiomas between 2004 and 2023. Methods: Publication data were extracted from the Science Citation Index Expanded (SCI-E) within the Web of Science Core Collection (WOSCC). Using CiteSpace 6.2.R6, a comprehensive analysis of publications, authors, cited authors, countries, institutions, cited journals, references, and keywords was conducted on December 1, 2023. Results: The analysis included a total of 342 articles. Prior to 2007, no publications existed in this field, and the number remained modest until 2017. A significant increase occurred in publications from 2018 onwards. The majority of the top 10 authors hailed from Germany and China, with the USA also exerting substantial international influence, particularly in academic institutions. Journals from the IEEE series contributed significantly to the publications. "Deep learning," "brain tumor," and "classification" emerged as the primary keywords of focus among researchers. The developmental pattern in this field primarily involved a combination of interdisciplinary integration and the refinement of major disciplinary branches. Conclusion: Machine learning has demonstrated significant value in predicting early meningiomas and tailoring treatment plans. Key research focuses involve optimizing detection indicators and selecting superior machine learning algorithms. Future efforts should aim to develop high-performance algorithms to drive further innovation in this field.

Diagnosis of mental disorders using machine learning: Literature review and bibliometric mapping from 2012 to 2023.

Background: Mental disorders (MDs) are becoming a leading burden in non-communicable diseases (NCDs). As per the World Health Organization's 2022 assessment report, there was a steep increase of 25 % in MDs during the COVID-19 pandemic. Early diagnosis of MDs can significantly improve treatment outcome and save disability-adjusted life years (DALYs). In recent times, the application of machine learning (ML) and deep learning (DL)) has shown promising results in the diagnosis of MDs, and the field has witnessed a huge research output in the form of research publications. Therefore, a bibliometric mapping along with a review of recent advancements is required. Methods: This study presents a bibliometric analysis and review of the research, published over the last 10 years. Literature searches were conducted in the Scopus database for the period from January 1, 2012, to June 9, 2023. The data was filtered and screened to include only relevant and reliable publications. A total of 2811 journal articles were found. The data was exported to a comma-separated value (CSV) format for further analysis. Furthermore, a review of 40 selected studies was performed. Results: The popularity of ML techniques in diagnosing MDs has been growing, with an annual research growth rate of 17.05 %. The Journal of Affective Disorders published the most documents (n = 97), while Wang Y. (n = 64) has published the most articles. Lotka's law is observed, with a minority of authors contributing the majority of publications. The top affiliating institutes are the West China Hospital of Sichuan University followed by the University of California, with China and the US dominating the top 10 institutes. While China has more publications, papers affiliated with the US receive more citations. Depression and schizophrenia are the primary focuses of ML and deep learning (DL) in mental disease detection. Co-occurrence network analysis reveals that ML is associated with depression, schizophrenia, autism, anxiety, ADHD, obsessive-compulsive disorder, and PTSD. Popular algorithms include support vector machine (SVM) classifier, decision tree classifier, and random forest classifier. Furthermore, DL is linked to neuroimaging techniques such as MRI, fMRI, and EEG, as well as bipolar disorder. Current research trends encompass DL, LSTM, generalized anxiety disorder, feature fusion, and convolutional neural networks.

Trends and hotspots in gastrointestinal neoplasms risk assessment: A bibliometric analysis from 1984 to 2022.

BACKGROUND: Gastrointestinal neoplasm (GN) significantly impact the global cancer burden and mortality, necessitating early detection and treatment. Understanding the evolution and current state of research in this field is vital. AIM: To conducts a comprehensive bibliometric analysis of publications from 1984 to 2022 to elucidate the trends and hotspots in the GN risk assessment research, focusing on key contributors, institutions, and thematic evolution. METHODS: This study conducted a bibliometric analysis of data from the Web of Science Core Collection database using the "bibliometrix" R package, VOSviewer, and CiteSpace. The analysis focused on the distribution of publications, contributions by institutions and countries, and trends in keywords. The methods included data synthesis, network analysis, and visualization of international collaboration networks. RESULTS: This analysis of 1371 articles on GN risk assessment revealed a notable evolution in terms of research focus and collaboration. It highlights the United States' critical role in advancing this field, with significant contributions from institutions such as Brigham and Women's Hospital and the National Cancer Institute. The last five years, substantial advancements have been made, representing nearly 45% of the examined literature. Publication rates have dramatically increased, from 20 articles in 2002 to 112 in 2022, reflecting intensified research efforts. This study underscores a growing trend toward interdisciplinary and international collaboration, with the Journal of Clinical Oncology standing out as a key publication outlet. This shift toward more comprehensive and collaborative research methods marks a significant step in addressing GN risks. CONCLUSION: This study underscores advancements in GN risk assessment through genetic analyses and machine learning and reveals significant geographical disparities in research emphasis. This calls for enhanced global collaboration and integration of artificial intelligence to improve cancer prevention and treatment accuracy, ultimately enhancing worldwide patient care.

Visualization analysis of research hotspots and trends on gastrointestinal tumor organoids.

BACKGROUND: Gastrointestinal tumor organoids serve as an effective model for simulating cancer in vitro and have been applied in basic biology and preclinical research. Despite over a decade of development and increasing research achievements in this field, a systematic and comprehensive analysis of the research hotspots and future trends is lacking. AIM: To address this problem by employing bibliometric tools to explore the publication years, countries/regions, institutions, journals, authors, keywords, and references in this field. METHODS: The literature was collected from Web of Science databases. CiteSpace-6.2R4, a widely used bibliometric analysis software package, was used for institutional analysis and reference burst analysis. VOSviewer 1.6.19 was used for journal co-citation analysis, author co-authorship and co-citation analysis. The 'online platform for bibliometric analysis (https://bibliometric.com/app)' was used to assess the total number of publications and the cooperation relationships between countries. Finally, we employed the bibliometric R software package (version R.4.3.1) in R-studio, for a comprehensive scientific analysis of the literature. RESULTS: Our analysis included a total of 1466 publications, revealing a significant yearly increase in articles on the study of gastrointestinal tumor organoids. The United States (n = 393) and Helmholtz Association (n = 93) have emerged as the leading countries and institutions, respectively, in this field, with Hans Clevers and Toshiro Sato being the most contributing authors. The most influential journal in this field is Gastroenterology. The most impactful reference is "Long term expansion of epithelial organs from human colon, adenoma, adenocarcinoma, and Barrett's epithelium". Keywords analysis and citation burst analysis indicate that precision medicine, disease modeling, drug development and screening, and regenerative medicine are the most cutting-edge directions. These focal points were further detailed based on the literature. CONCLUSION: This bibliometric study offers an objective and quantitative analysis of the research in this field, which can be considered as an important guide for next scientific research.

Revolutionizing thoracic surgery education: a bibliometric analysis of the past decade's literature.

OBJECTIVES: Thoracic surgery is a complex field requiring advanced technical skills and critical decision-making. Surgical education must evolve to equip trainees with proficiency in new techniques and technologies. METHODS: This bibliometric analysis systematically reviewed 113 articles on thoracic surgery skills training published over the past decade, retrieved from databases including Web of Science. Publication trends, citation analysis, author and journal productivity, and keyword frequencies were evaluated. RESULTS: The United States contributed the most publications, led by pioneering institutions. Simulation training progressed from basic to sophisticated modalities and virtual reality emerged with transformative potential. Minimally invasive techniques posed unique learning challenges requiring integrated curricula. CONCLUSION: Ongoing investments in educational research and curriculum innovations are imperative to advance thoracic surgery training through multidisciplinary strategies. This study provides an evidentiary foundation to optimize training and address the complexities of modern thoracic surgery.

Global trends in research of nasopharyngeal carcinoma: a bibliometric and visualization analysis.

Objective: This study aims to assess the current research status, focus areas, and developmental trends in nasopharyngeal carcinoma (NPC) through a bibliometric analysis. Methods: Articles focusing on NPC published from 2000 to 2023 were retrieved from the Web of Science database. VOSviewer and CiteSpace were used for bibliometric and visual analysis. Results: A total of 14516 related publications were retrieved. There has been a steady increase in the number of NPC-related publications from 2000 to 2023. China was the dominant country in this field with 8948 papers (61.64%), followed by the USA (2234, 15.39%). Sun Yat-sen University was the most influential institution, while Ma J was the most prolific author. Furthermore, Head And Neck-journal For The Sciences And Specialties Of The Head And Neck was the most prolific journal. International Journal of Radiation Oncology Biology Physics had the highest total citation counts. "Introduction chemotherapy", "Concurrent chemotherapy", "Epithelial-mesenchymal transition", "Cancer stem cells", "MicroRNAs", "LncRNA", "Exosomes", and "Biomarker" were the most common keywords. The reference "Chen YP, 2019, Lancet" had the highest citations and strong outbreak value. Conclusion: The past two decades have witnessed a significant increase in research on NPC. The optimization of treatment mode is the most widely studied aspect at present. The mechanism of occurrence and development and the most favorable diagnostic and therapeutic targets are the research hotspots in the future.

Current landscape and future trends in salivary gland oncology research-a bibliometric evaluation.

Background: The salivary glands are susceptible to both endogenous and exogenous influences, potentially resulting in the development of oncology. With the wide application of various technologies, research in this area has experienced rapid growth. Therefore, researchers must identify and characterize the current research hot topics to grasp the forefront of developments in the dynamic field of salivary gland oncology. The objective of this study was to thoroughly assess the current status and identify potential future research directions in salivary gland oncology. Methods: The relevant salivary gland oncology dataset was obtained from the Web of Science Core Collection (WOSCC) database. Subsequently, VoSviewer and CiteSpace were employed for further evaluation. Results: A total of 9,695 manuscripts were extracted and downloaded from the WOSCC database. Our findings revealed a substantial surge in research volume over the past 12 years. The researchers' analysis revealed that Abbas Agami showed unparalleled dedication, with over 180 publications, and that RH Spiro had the highest cocitation count, confirming its status as a key figure in the field. The detection of bursts in secretory carcinoma and the integration of artificial intelligence in salivary oncology have attracted increasing interest. Notably, there is a discernible trend towards increased research engagement in the study of salivary gland malignancies. Conclusions: This study not only evaluated the current research landscape in salivary gland oncology but also anticipates future trends. These insights could contribute to the advancement of knowledge and policymaking in salivary gland oncology.

Analysis of articles on hepatitis C by scientific mapping: 1989-2022.

BACKGROUND: Hepatitis C virus (HCV) poses a significant quandary about public health. It is challenging to study the literature in a particular discipline comprehensively today. One solution is bibliometric analysis, which is often used to track the attributes and evolutionary trajectories of scientific outputs. AIM: To examine the 35-year scientific evolution of articles focused on HCV. METHODS: This study examined the 35-year scientific evolution of articles focused on HCV. Our study utilized the Web of Science database. The study encompassed a total of 11930 articles. RESULTS: Regarding the cumulative count of articles, the leading countries are the United States, Japan, and Italy. Rice CM is the author with the highest recorded H-index and G-index values. The journal with the highest recorded H-index and G-index values is the Journal of Virology. The Journal of Viral Hepatitis contributed 10.94% of the articles, whereas the Journal of Virology published 9.68%. According to the strategic diagram, the keywords most frequently used in 2020-2022 are HCV, epidemiology, and sofosbuvir. CONCLUSION: This study provides valuable information about 40 years of academic knowledge on HCV.

Corrigendum: Beyond nodes and edges: a bibliometric analysis on graph theory and neuroimaging modalities.

[This corrects the article DOI: 10.3389/fnins.2024.1373264.].

Potential value and research frontiers of virus in neuroinflammation: a bibliometric and visualized analysis.

Background: Neuroinflammation represents the immune response of the central nervous system to nerve injury, infection, toxin stimulation, or autoimmunity and is implicated in a wide range of neurological disorders. Viruses play a pivotal role as extrinsic biological drivers in neuroinflammation; however, numerous aspects remain unexplored. In this study, we employed bibliometric analysis to assess the current status of viral research in neuroinflammation and anticipate future research directions and emerging trends. Methods: Conduct a comprehensive search for scholarly publications within the Web of Science Core Collection database, with search terms on neuroinflammation and virus. Apply Microsoft Excel Office, Hiplot, R (version 4.3.1), VOSviewer (version 1.6.20) and CiteSpace (6.2.R6, advanced) software for the bibliometric analysis and visualization. Results: A total of 4230 articles and reviews on virus and neuroinflammation were identified, demonstrating a consistent upward trend over time. The United States was the country that contributed the most publications. Approximately 22274 authors from 4474 institutions contributed to the research. Johns Hopkins University leads with the highest number of publications and citations. The top three authors with the most published articles on this field are Power, C., Lane, T. E., and Buch, S. The Journal of Neuroinflammation is the most authoritative choice for researchers. The main research focuses in this field include multiple sclerosis, Parkinson's disease, blood-brain barrier, COVID-19, Alzheimer's disease, gene therapy. In recent years, stress have emerged as hot keywords, particularly depression, human immunodeficiency virus-associated neurocognitive disorders, blood-brain barrier, gut microbiota related directions, indicating a potential shift in research focus. Conclusion: Research on the virus and neuroinflammation has attracted increasing attention in the past decade. European and American countries have been pivotal in conducting research on virus and neuroinflammation, while China has produced a significant number of publications, its impact is still limited. Stress is likely to emerge as the next area of focus in this field. The association and regulation between viral infection and psychiatric disorders are not fully understood, and further research is needed to explore the role of neuroinflammation caused by different types of viral infection and psychiatric disorders.

A bibliometric study of the intellectual base and global research hotspots for single-cell sequencing [2009-2022] in breast cancer.

Background: Breast cancer is the most widespread malignant tumor worldwide. Single-cell sequencing technology offers novel insights and methods to understand the onset, progression, and treatment of tumors. Nevertheless, there is currently an absence of a thorough and unbiased report on the comprehensive research status of single-cell sequencing in breast cancer. This study seeks to summarize and quantify the dynamics and trends of research on breast cancer single-cell sequencing by bibliometric analysis. Methods: Research articles and reviews related to breast cancer single-cell sequencing were selected from the WoSCC database. Visualization of data regarding countries, institutions, authors, references, and keywords was performed by CiteSpace and VOSviewer software. Results: 583 articles and reviews were analyzed in this study. The quantity of publications related to breast cancer single-cell sequencing has been increasing annually. These studies originate from 302 institutions in 46 countries, with YMAX S WICHA producing the most publications and WANG Y being the most cited author. Nature Communications is the most researched journal, while Nature holds the highest number of citations. These journals predominantly cover topics in the molecular/biological/immunological fields. Moreover, an analysis of reference and keyword bursts revealed that current research trends in this area are primarily centered on "clonal evolution," "tumor microenvironment," and "immunotherapy." Conclusion: Breast cancer single-cell sequencing is a rapidly growing area of scientific interest. Future research requires more frequent and in-depth collaborations among countries, institutions, and authors. Furthermore, "clonal evolution," "tumor microenvironment," and "immunotherapy" are likely to become major focal points in upcoming research on breast cancer single-cell sequencing.

Research on ultrasound-based radiomics: a bibliometric analysis.

Background: A large number of studies related to ultrasound-based radiomics have been published in recent years; however, a systematic bibliometric analysis of this topic has not yet been conducted. In this study, we attempted to identify the hotspots and frontiers in ultrasound-based radiomics through bibliometrics and to systematically characterize the overall framework and characteristics of studies through mapping and visualization. Methods: A literature search was carried out in Web of Science Core Collection (WoSCC) database from January 2016 to December 2023 according to a predetermined search formula. Bibliometric analysis and visualization of the results were performed using CiteSpace, VOSviewer, R, and other platforms. Results: Ultimately, 466 eligible papers were included in the study. Publication trend analysis showed that the annual publication trend of journals in ultrasound-based radiomics could be divided into three phases: there were no more than five documents published in this field in any year before 2018, a small yearly increase in the number of annual publications occurred between 2018 and 2022, and a high, stable number of publications appeared after 2022. In the analysis of publication sources, China was found to be the main contributor, with a much higher number of publications than other countries, and was followed by the United States and Italy. Frontiers in Oncology was the journal with the highest number of papers in this field, publishing 60 articles. Among the academic institutions, Fudan University, Sun Yat-sen University, and the Chinese Academy of Sciences ranked as the top three in terms of the number of documents. In the analysis of authors and cocited authors, the author with the most publications was Yuanyuan Wang, who has published 19 articles in 8 years, while Philippe Lambin was the most cited author, with 233 citations. Visualization of the results from the cocitation analysis of the literature revealed a strong centrality of the subject terms papillary thyroid cancer, biological behavior, potential biomarkers, and comparative assessment, which may be the main focal points of research in this subject. Based on the findings of the keyword analysis and cluster analysis, the keywords can be categorized into two major groups: (I) technological innovations that enable the construction of radiomics models such as machine learning and deep learning and (II) applications of predictive models to support clinical decision-making in certain diseases, such as papillary thyroid cancer, hepatocellular carcinoma (HCC), and breast cancer. Conclusions: Ultrasound-based radiomics has received widespread attention in the medical field and has been gradually been applied in clinical research. Radiomics, a relatively late development in medical technology, has made substantial contributions to the diagnosis, prediction, and prognostic evaluation of diseases. Additionally, the coupling of artificial intelligence techniques with ultrasound imaging has yielded a number of promising tools that facilitate clinical decision-making and enable the practice of precision medicine. Finally, the development of ultrasound-based radiomics requires multidisciplinary cooperation and joint efforts from the field biomedicine, information technology, statistics, and clinical medicine.

Global research on keratomycosis: New insights from latent Dirichlet allocation and HJ-Biplot-driven knowledge mapping study.

BACKGROUND: Keratomycosis is a form of infectious keratitis, an infection of the cornea, which is caused by fungi. This disease is a leading cause of ocular morbidity globally with at least 60 % of the affected individuals becoming monocularly blind. OBJECTIVE: This bibliometric analysis aimed to comprehensively assess the existing body of literature, providing insights of the evolution of keratomycosis research by identifying key themes and research gaps. METHODS: This work used the modeling method Latent Dirichlet Allocation (LDA) to identify and interpret scientific information on topics concerning existing categories in a set of documents. The HJ-Biplot method was also used to determine the relationship between the analyzed topics, taking into consideration the years under study. RESULTS: This bibliometric analysis was performed on a total of 2,599 scientific articles published between 1992 and 2022. The five leading countries with more scientific production and citations on keratomycosis were The United States of America, followed by India, China, United Kingdom and Australia. The top five topics studied were Case Reports and Corneal Infections, which exhibited a decreasing trend; followed by Penetrating Keratoplasty and Corneal Surgery, Ocular Effects of Antifungal Drugs, Gene Expression and Inflammatory Response in the Cornea and Patient Data which have been increasing throughout the years. However Filamentous Fungi and Specific Pathogens, and Antifungal Therapies research has been decreasing in trend. CONCLUSION: Additional investigation into innovative antifungal drug therapies is crucial for proactively tackling the potential future resistance to antifungal agents in scientific writing.

Research trends and hotspots of myositis ossificans: a bibliometric analysis from 1993 to 2022.

Myositis ossificans (MO) is characterized by benign heterotopic ossificans in soft tissues like muscles, which can be classified into nonhereditary MO and fibrodysplasia ossificans progressiva (FOP). Although MO has been studied for decades, no research reviewed and analyzed the features of publications in this field quantitatively and qualitatively. Using bibliometrics tools (bibliometrix R package, VOSviewer, and CiteSpace), we conducted a bibliometric analysis of 1280 articles regarding MO in the Web of Science Core Collection database from 1993 to 2022. The annual number of publications and related research areas in the MO field increased gradually in the past 20 years. The USA contributed the most percentage (42.58%) of articles. The University of Pennsylvania (UPenn) and the Journal Bone published the most articles among all institutions and journals. Kaplan FS and Shore EM from UPenn were the top two scholars who made the largest contributions to this field. Keyword analysis showed that research hotspots changed from traumatic MO and clinical management of MO to the genetic etiology, pathogenesis, and treatment of FOP. This study can provide new insights into the research trends of MO and helps researchers grasp and determine future study directions more easily.

Exploring global research trends in Chinese medicine for atherosclerosis: a bibliometric study 2012-2023.

Background: While Traditional Chinese Medicine (TCM) boasts an extensive historical lineage and abundant clinical expertise in addressing atherosclerosis, this field is yet to be penetrated adequately by bibliometric studies. This study is envisaged to evaluate the contemporary scenario of TCM in conjunction with atherosclerosis over the preceding decade while also identifying forthcoming research trends and emerging topics via the lens of bibliometric analysis. Methods: Literature pertaining to TCM and atherosclerosis, circulated between January 1, 2012 and November 14, 2023, was garnered for the purpose of this research. The examination embraced annual publications, primary countries/regions, engaged institutions and authors, scholarly journals, references, and keywords, utilizing analytical tools like Bibliometrix, CiteSpace, ScimagoGraphica, and VOSviewer present in the R package. Result: This field boasts a total of 1,623 scholarly articles, the majority of which have been contributed by China in this field, with significant contributions stemming from the China Academy of Traditional Chinese Medicine and the Beijing University of Traditional Chinese Medicine. Moreover, this field has received financial support from both the National Natural Science Foundation of China and the National Key Basic Research Development Program. Wang Yong tops the list in terms of publication count, while Xu Hao's articles take the lead for the total number of citations, positioning them at the core of the authors' collaborative network. The Journal of Ethnopharmacology leads with the most publications and boasts the greatest total number of citations. Principal research foci within the intersection of Chinese Medicine and Atherosclerosis encompass disease characteristics and pathogenic mechanisms, theoretical underpinnings and syndrome-specific treatments in Chinese medicine, potentialities of herbal interventions, and modulation exerted by Chinese medicines on gut microbiota. Conclusion: This analysis offers a sweeping survey of the contemporary condition, principal foci, and progressive trends in worldwide research related to Traditional Chinese Medicine (TCM) and atherosclerosis. It further delves into an in-depth dissection of prominent countries, research institutions, and scholars that have made noteworthy strides in this discipline. Additionally, the report analyzes the most cited articles, research developments, and hotspots in the field, providing a reference for future research directions for clinical researchers and practitioners.

Mapping the landscape: a bibliometric study of global chimeric antigen receptor T cell immunotherapy research.

The rise of immunotherapy provided new approaches to cancer treatment. We aimed to describe the contribution of chimeric antigen receptor T cell immunotherapy to future prospects. We analyzed 8035 articles from the Web of Science Core Collection with CiteSpace that covered with various aspects with countries, institutions, authors, co-cited authors, journals, keywords, and references. The USA was the most prolific country, with the University of Pennsylvania being the most published institution. Among individual authors, June Carl H published the most articles, while Maude SL was the most frequently co-cited author. "Blood" emerged as the most cited journal. Keyword clustering revealed six core themes: "Expression," "Chimeric Antigen Receptor," "Tumor Microenvironment," "Blinatumomab," "Multiple Myeloma," and "Cytokine Release Syndrome." In the process of researching the timeline chart of keywords and references, "Large B-cell lymphoma" was located on the right side of the timeline. In the keyword prominence analysis, we found that the keywords "biomarkers," "pd-1," "antibody drug conjugate," "BCMA," and "chimeric antigen" had high explosive intensity in the recent past. We found that in terms of related diseases, "large B-cell lymphoma" and "cytokine release syndrome" are still difficult problems in the future. In the study of therapeutic methods, "BCMA," "PD-1," "chimeric antigen," and "antibody drug conjugate" deserve more attention from researchers in the future.

The Bibliometric Analysis of the Postgraduate Theses Written on Medical Parasitology in Türkiye.

Objective: The aim of this study was to analyze the theses prepared in the field of medical parasitology in Türkiye and to reveal the importance given to the science of parasitology in the groves of academe and to raise awareness in this field. Methods: Council of Higher Education's National Thesis Center database has been analyzed postgraduate these documents conducted in the field of medical parasitology from January 1985 to September 2022. Results: As a result of the examining, 393 theses made in the field of medical parasitology were detected. It was determined that 52.9% of the theses prepared were master, 28% of PhD and 19.1% were the thesis of medical specialty thesis and 61.3% of the theses prepared were related to protozoa, 16.5% of helminths, 8.6% arthropods and 12.2% of intestinal parasites (helminth and protozoa). The top five types of parasites in the theses were Toxoplasma gondii, Leishmania spp., Echinococcus spp., Giardia intestinalis and Cryptosporidium spp. respectively. Conclusion: In conclusion, it was of the opinion that more importance should be given to the field of medical parasitology in Türkiye.

Global Trends and Frontier in Research on Pancreatic Alpha Cells: A Bibliometric Analysis from 2013 to 2023.

PURPOSE: Over the past 20 years, much of the research on diabetes has focused on pancreatic beta cells. In the last 10 years, interest in the important role of pancreatic alpha cells in the pathogenesis of diabetes, which had previously received little attention, has grown. We aimed to summarize and visualize the hotspot and development trends of pancreatic alpha cells through bibliometric analysis and to provide research direction and future ideas for the treatment of diabetes and other islet-related diseases. METHODS: We used two scientometric software packages (CiteSpace 6.1.R6 and VOSviewer1.6.18) to visualize the information and connection of countries, institutions, authors, and keywords in this field. RESULTS: A total of 532 publications, published in 752 institutions in 46 countries and regions, were included in this analysis. The United States showed the highest output, accounting for 39.3% of the total number of published papers. The most active institution was Vanderbilt University, and the authors with highest productivity came from Ulster University. In recent years, research hotspots have concentrated on transdifferentiation, gene expression, and GLP-1 regulatory function. Visualization analysis shows that research hotspots mainly focus on clinical diseases as well as physiological and pathological mechanisms and related biochemical indicators. CONCLUSIONS: This study provides a review and summary of the literature on pancreatic alpha cells through bibliometric and visual methods and shows research hotspot and development trends, which can guide future directions for research.

A bibliometric analysis of teledentistry published in the category of dentistry, oral surgery and medicine.

Background/purpose: Telemedicine has gained the popularity during COVID-19 pandemic. "Teledentistry" as the dental application of telemedicine was also with increased attention. The bibliometric analysis was employed to examine the global research trends and the current implementation status of teledentistry. Materials and methods: Titles and subjects were searched in the Web of Science database by using the keywords "teledentistry OR oral telemedicine OR dental telemedicine OR telemedicine in dentistry" in the category of Dentistry, Oral Surgery & Medicine. Documents were collected from the establishment date up to December 31, 2023. Microsoft Excel was used for the descriptive and statistical analyses. The data were exhibited with visualization by VOSviewer. Results: A total of 146 articles were identified for bibliometric analysis. An upward trend in the number of publications was evident. The statistical analysis indicated a notable increased teledentistry publications affected by COVID-19 pandemic (P < 0.01). The applications of teledentistry were mainly related to clinical practice (89.73%), such as oral and maxillofacial surgery, orthodontics, dental caries, oral mucosal lesions, and dental emergencies. For geographic distributions, the United States lead with 46 publications (34%) by corresponding authors listed in the article. The keyword network analysis highlighted the prominent research areas and the changes influenced by the pandemic and technological development, respectively. Conclusion: This bibliometric study provided an overview of the progress, trends and current directions for teledentistry in the fields of dentistry, oral surgery and medicine.