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1.
JCI Insight ; 9(9)2024 May 08.
Article in English | MEDLINE | ID: mdl-38716732

ABSTRACT

Previous studies on attrition from MD-PhD programs have shown that students who self-identify as Black are more likely to withdraw before graduating than Hispanic students and students not from groups underrepresented in medicine (non-UIM). Here, we analyzed data collected for the National MD-PhD Program Outcomes Study, a national effort to track the careers of over 10,000 individuals who have graduated from MD-PhD programs over the past 60 years. On average, Black trainees took slightly longer to graduate, were less likely to choose careers in academia, and were more likely to enter nonacademic clinical practice; although, none of these differences were large. Black graduates were also more likely to choose careers in surgery or internal medicine, or entirely forego residency, and less likely to choose pediatrics, pathology, or neurology. Among those in academia, average research effort rates self-reported by Black, Hispanic, and non-UIM alumni were indistinguishable, as were rates of obtaining research grants and mentored training awards. However, the proportion of Black and Hispanic alumni who reported having NIH research grants was lower than that of non-UIM alumni, and the NIH career development to research project grant (K-to-R) conversion rate was lower for Black alumni. We propose that the reasons for these differences reflect experiences before, during, and after training and, therefore, conclude with action items that address each of these stages.


Subject(s)
Black or African American , Career Choice , Hispanic or Latino , Humans , Hispanic or Latino/statistics & numerical data , Black or African American/statistics & numerical data , Male , Female , United States , Biomedical Research/statistics & numerical data , Education, Graduate/statistics & numerical data , Adult
2.
Medicine (Baltimore) ; 103(20): e38152, 2024 May 17.
Article in English | MEDLINE | ID: mdl-38758903

ABSTRACT

Parkinson disease (PD), a prevalent neurodegenerative ailment in the elderly, relies mainly on pharmacotherapy, yet deep brain stimulation (DBS) emerges as a vital remedy for refractory cases. This study performs a bibliometric analysis on DBS in PD, delving into research trends and study impact to offer comprehensive insights for researchers, clinicians, and policymakers, illuminating the current state and evolutionary trajectory of research in this domain. A systematic search on March 13, 2023, in the Scopus database utilized keywords like "Parkinson disease," "PD," "Parkinsonism," "Deep brain stimulation," and "DBS." The top 1000 highly cited publications on DBS in PD underwent scientometric analysis via VOS Viewer and R Studio's Bibliometrix package, covering publication characteristics, co-authorship, keyword co-occurrence, thematic clustering, and trend topics. The bibliometric analysis spanned 1984 to 2021, involving 1000 cited articles from 202 sources. The average number of citations per document were 140.9, with 31,854 references. "Movement Disorders" led in publications (n = 98), followed by "Brain" (n = 78) and "Neurology" (n = 65). The University of Oxford featured prominently. Thematic keyword clustering identified 9 core research areas, such as neuropsychological function and motor circuit electrophysiology. The shift from historical neurosurgical procedures to contemporary focuses like "beta oscillations" and "neuroethics" was evident. The bibliometric analysis emphasizes UK and US dominance, outlining 9 key research areas pivotal for reshaping Parkinson treatment. A discernible shift from invasive neurosurgery to DBS is observed. The call for personalized DBS, integration with NIBS, and exploration of innovative avenues marks the trajectory for future research.


Subject(s)
Bibliometrics , Deep Brain Stimulation , Parkinson Disease , Parkinson Disease/therapy , Humans , Deep Brain Stimulation/statistics & numerical data , Deep Brain Stimulation/trends , Biomedical Research/trends , Biomedical Research/statistics & numerical data
3.
Medicine (Baltimore) ; 103(20): e38100, 2024 May 17.
Article in English | MEDLINE | ID: mdl-38758908

ABSTRACT

Numerous studies related to esophagogastric junction cancer (EGC) have been published, and bibliometric analysis of these publications may be able to identify research hotspots and frontiers of EGC. Studies published on EGC between 2002 and 2021 were retrieved from the Web of Science Core Collection. The collaboration network of countries/regions, institutions, authors, co-citation network of journals, co-occurrence network, and overlay visualization of keywords were analyzed using the VOSviewer software. Cluster and timeline analyses of references were performed using the CiteSpace software. A total of 5109 English articles were published across 691 journals by authors affiliated with 4727 institutions from 81 countries/regions. The annual number of publications related to EGC research has exhibited an increasing trend. The United States, China, and Japan emerged as the top 3 prolific countries/regions. Institutions in the United States, Japan, and South Korea exhibited significant collaboration with one another. Diseases of the Esophagus was the most prolific journal, and Annals of Surgical Oncology, World Journal of Gastroenterology, and Gastric Cancer had also published more than 100 studies. Jaffer A Ajani was the most productive author while David Cunningham ranked the first in terms of total citations and average citations per article. Barrett's esophagus, gastroesophageal reflux disease, Helicobacter pylori, and obesity were common topics in earlier research, and recent years had seen a shift towards the topics of immunotherapy, targeted therapy, and neoadjuvant chemotherapy. In conclusion, growing attention is paid to EGC research, especially in terms of immunotherapy, targeted therapy, and neoadjuvant chemotherapy.


Subject(s)
Bibliometrics , Esophageal Neoplasms , Esophagogastric Junction , Stomach Neoplasms , Humans , Esophagogastric Junction/pathology , Esophageal Neoplasms/therapy , Stomach Neoplasms/therapy , Biomedical Research/statistics & numerical data
4.
Medicine (Baltimore) ; 103(19): e38089, 2024 May 10.
Article in English | MEDLINE | ID: mdl-38728501

ABSTRACT

Proton beam therapy (PBT) has great advantages as tumor radiotherapy and is progressively becoming a more prevalent choice for individuals undergoing radiation therapy. The objective of this review is to pinpoint collaborative efforts among countries and institutions, while also exploring the hot topics and future outlook in the field of PBT. Data from publications were downloaded from the Web of Science Core Collection. CiteSpace and Excel 2016 were used to conduct the bibliometric and knowledge map analysis. A total of 6516 publications were identified, with the total number of articles steadily increasing and the United States being the most productive country. Harvard University took the lead in contributing the highest number of publications. Paganetti Harald published the most articles and had the most cocitations. PHYS MED BIOL published the greatest number of PBT-related articles, while INT J RADIAT ONCOL received the most citations. Paganetti Harald, 2012, PHYS MED BIOL can be classified as classic literature due to its high citation rate. We believe that research on technology development, dose calculation and relative biological effectiveness were the knowledge bases in this field. Future research hotspots may include clinical trials, flash radiotherapy, and immunotherapy.


Subject(s)
Bibliometrics , Proton Therapy , Proton Therapy/statistics & numerical data , Proton Therapy/methods , Humans , Biomedical Research/statistics & numerical data , Neoplasms/radiotherapy
5.
Skin Res Technol ; 30(5): e13731, 2024 May.
Article in English | MEDLINE | ID: mdl-38747942

ABSTRACT

BACKGROUND AND PURPOSE: Urticaria is a prevalent recurrent skin allergic condition. Severe itching significantly impacts patients' quality of life. This paper aims to investigate the development status of urticaria through bibliometric analysis to predict future research hotspots and trends. METHODS: On October 29, 2023, a literature search was conducted in the Web of Science (WOS) database to collect urticaria-related publications. The top 100 most cited articles were charted, and VOSviewer software was utilized for the literature data analysis. A visual analysis was performed on the number of articles, journals, main researchers, keywords, and so on. RESULTS: The research involved 415 authors from 28 countries, published across 25 journals, ranging from 1963 to 2023. Marcus Maurer was the leading author, with the United States being the foremost country in urticaria research. CEH Grattan received the most citations, and The Medical University of South Carolina had the highest number of publications. Key research focuses include epidemiology, pathogenesis, drug therapy, and quality of life assessments. "Anti-high affinity IgE receptor α chain (FcεRIα)," "chronic idiopathic urticaria," "autoantibodies," "histamine-release" emerged as the keywords with the highest prominence. CONCLUSION: The field of urticaria research has attracted substantial attention over the past few decades, witnessing rapid development. This study highlighted the top 100 articles by citation frequency within the urticaria field. Bibliometric analysis revealed a shift in treatment methods from traditional antihistamines to biological agents, with significant emphasis on improving the quality of life in chronic urticaria management. These areas represent the current research focal points and indicate future trends in urticaria research.


Subject(s)
Bibliometrics , Urticaria , Humans , Urticaria/drug therapy , Urticaria/epidemiology , Quality of Life , Biomedical Research/statistics & numerical data , Biomedical Research/trends
6.
Cephalalgia ; 44(5): 3331024241251488, 2024 May.
Article in English | MEDLINE | ID: mdl-38690640

ABSTRACT

BACKGROUND: We aimed to develop the first machine learning models to predict citation counts and the translational impact, defined as inclusion in guidelines or policy documents, of headache research, and assess which factors are most predictive. METHODS: Bibliometric data and the titles, abstracts, and keywords from 8600 publications in three headache-oriented journals from their inception to 31 December 2017 were used. A series of machine learning models were implemented to predict three classes of 5-year citation count intervals (0-5, 6-14 and, >14 citations); and the translational impact of a publication. Models were evaluated out-of-sample with area under the receiver operating characteristics curve (AUC). RESULTS: The top performing gradient boosting model predicted correct citation count class with an out-of-sample AUC of 0.81. Bibliometric data such as page count, number of references, first and last author citation counts and h-index were among the most important predictors. Prediction of translational impact worked optimally when including both bibliometric data and information from the title, abstract and keywords, reaching an out-of-sample AUC of 0.71 for the top performing random forest model. CONCLUSION: Citation counts are best predicted by bibliometric data, while models incorporating both bibliometric data and publication content identifies the translational impact of headache research.


Subject(s)
Bibliometrics , Headache , Machine Learning , Humans , Biomedical Research/statistics & numerical data , Translational Research, Biomedical , Journal Impact Factor
7.
Can Fam Physician ; 70(5): 329-341, 2024 May.
Article in English | MEDLINE | ID: mdl-38744505

ABSTRACT

OBJECTIVE: To describe the citation impact and characteristics of Canadian primary care researchers and research publications. DESIGN: Citation analysis. SETTING: Canada. PARTICIPANTS: A total of 266 established Canadian primary care researchers. MAIN OUTCOME MEASURES: The 50 most cited primary care researchers in Canada were identified by analyzing data from the Scopus database. Various parameters, including the number of publications and citations, research themes, Scopus h index, content analysis, journal impact factors, and field-weighted citation impact for their publications, were assessed. Information about the characteristics of these researchers was collected using the Google search engine. RESULTS: On average, the 50 most cited primary care researchers produced 51.1 first-author publications (range 13 to 249) and were cited 1864.32 times (range 796 to 9081) over 29 years. Twenty-seven publications were cited more than 500 times. More than half of the researchers were men (60%). Most were clinician scientists (86%) with a primary academic appointment in family medicine (86%) and were affiliated with 5 universities (74%). Career duration was moderately associated with the number of first-author publications (0.35; P=.013). Most research focused on family practice, while some addressed health and health care issues (eg, continuing professional education, pharmaceutical policy). CONCLUSION: Canada is home to a cadre of primary care researchers who are highly cited in the medical literature, suggesting that their work is of high quality and relevance. Building on this foundation, further investments in primary care research could accelerate needed improvements in Canadian primary care policy and practice.


Subject(s)
Journal Impact Factor , Primary Health Care , Canada , Humans , Primary Health Care/statistics & numerical data , Male , Research Personnel/statistics & numerical data , Female , Bibliometrics , Biomedical Research/statistics & numerical data
8.
Saudi Med J ; 45(4): 387-396, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38657984

ABSTRACT

OBJECTIVES: To describe the productivity, performance, and impact of medical research in the Arab world countries. METHODS: We carried out a bibliometric analysis using Clarivate Analytics databases from January 2017 to March 2023. We reported research productivity, national and international research collaboration patterns, impact of Arab medical research output compared to the global average, top medical journals publishing Arab-affiliated research, and performance of the most productive Arab institutions. RESULTS: The Arab world contributed 2.72% to global medical research publication, with a citation impact of 11.98 compared to the global impact of 12.02. Qatar, Lebanon, and Saudi Arabia led medical research publications per million population among Arab countries, ranking 26th, 36th, and 37th globally. Medical research publications increased by 87% annually from 2017-2022, with 70% of research originating from Saudi Arabia and Egypt. National collaborations accounted for 15% of Arab world publications, while international collaborations represented 66%. The median impact factor across the top 20 medical journals with Arab-affiliated authors was 5.14, with 50% being quartile one journals. The top 10 Arab-origin medical journals had a median impact factor of 3.13. Approximately 80% of the top 20 Arab institutions were academic, with a median publication count of 3,162.5 and a median citation impact of 14.5. CONCLUSION: The study provides insights into the state of medical research in the Arab countries, indicating room for improvement in the region's medical research.


Subject(s)
Arab World , Bibliometrics , Biomedical Research , Biomedical Research/statistics & numerical data , Humans , Saudi Arabia , Journal Impact Factor , Qatar , Publishing/statistics & numerical data , Periodicals as Topic/statistics & numerical data , International Cooperation
9.
Medicine (Baltimore) ; 103(17): e37945, 2024 Apr 26.
Article in English | MEDLINE | ID: mdl-38669398

ABSTRACT

BACKGROUND: Islet transplantation (IT) has emerged as a significant research area for the treatment of diabetes mellitus and has witnessed a surge in scholarly attention. Despite its growing importance, there is a lack of bibliometric analyses that encapsulate the evolution and scientific underpinnings of this field. This study aims to fill this gap by conducting a comprehensive bibliometric analysis to delineate current research hotspots and forecast future trajectories within the IT domain with a particular focus on evidence-based medicine practices. METHODS: This analysis scrutinized literature from January 1, 2000, to October 1, 2023, using the Web of Science Core Collection (WoSCC). Employing bibliometric tools such as VOSviewer, CiteSpace, and the R package "bibliometrix," we systematically evaluated the literature to uncover scientific trends and collaboration networks in IT research. RESULTS: The analysis revealed 8388 publications from 82 countries, predominantly the United States and China. However, global cross-institutional collaboration in IT research requires further strengthening. The number of IT-related publications has increased annually. Leading research institutions in this field include Harvard University, the University of Alberta, the University of Miami, and the University of Minnesota. "Transplantation" emerges as the most frequently cited journal in this area. Shapiro and Ricordi were the most prolific authors, with 126 and 121 publications, respectively. Shapiro also led to co-citations, totaling 4808. Key research focuses on IT sites and procedures as well as novel therapies in IT. Emerging research hotspots are identified by terms like "xenotransplantation," "apoptosis," "stem cells," "immunosuppression," and "microencapsulation." CONCLUSIONS: The findings underscore a mounting anticipation for future IT research, which is expected to delve deeper into evidence-based methodologies for IT sites, procedures, and novel therapeutic interventions. This shift toward evidence-based medicine underscores the field's commitment to enhancing the efficacy and safety of IT for diabetes treatment, signaling a promising direction for future investigations aimed at optimizing patient outcomes.


Subject(s)
Bibliometrics , Islets of Langerhans Transplantation , Islets of Langerhans Transplantation/trends , Islets of Langerhans Transplantation/methods , Islets of Langerhans Transplantation/statistics & numerical data , Humans , Biomedical Research/trends , Biomedical Research/statistics & numerical data , Diabetes Mellitus , Evidence-Based Medicine/trends , Evidence-Based Medicine/methods
10.
J Cancer Res Ther ; 20(2): 592-598, 2024 Apr 01.
Article in English | MEDLINE | ID: mdl-38687929

ABSTRACT

OBJECTIVE: To analyze the characteristics of retracted oncology papers from Chinese scholars and the reasons for retraction. METHODS: Data on retracted oncology papers from Chinese scholars published from 2013 to 2022 were retrieved from the Retraction Watch database. The retraction number and annual distribution, article types, reasons for retraction, retraction time delay, publishers, and journal characteristics of the retracted papers were analyzed. RESULTS: A total of 2695 oncology papers from Chinese scholars published from 2013 to 2022 had been retracted. The majority of these papers were published from 2017 to 2020. In terms of article type, 2538 of the retracted papers were research articles, accounting for 94.17% of the total number of retracted papers. The main reasons for retraction were data, result, and image problems, duplicate publication, paper mills, author- and third-party-related reasons, plagiarism, false reviews, and method errors. The retraction time delay for the retracted papers ranged from 0 to 3582 days (median, 826 days). The retractions mainly occurred within the first 4 years after publication. A total of 77 publishers were involved in the retracted papers. In terms of journal distribution, 394 journals were involved in the retracted papers, of which 368 (93.40%) were included in the SCI database. There were 243 journals with an impact factor of <5 (66.03%). CONCLUSION: In the field of oncology, the annual distribution of retracted papers from Chinese scholars exhibited first an increasing and subsequently a decreasing trend, reaching a peak in 2019, indicating an improvement in the status of retraction after 2021. The main type of the retracted papers was research article, and the main reason for retraction was academic misconduct. The retractions were mainly concentrated in several major publishers and periodicals in Europe and the United States. Most of the journals had low-impact factors.


Subject(s)
Medical Oncology , Retraction of Publication as Topic , Scientific Misconduct , Humans , China , Scientific Misconduct/statistics & numerical data , Periodicals as Topic/statistics & numerical data , Biomedical Research/statistics & numerical data , Publishing/statistics & numerical data , Plagiarism , Bibliometrics , East Asian People
11.
Arch Osteoporos ; 19(1): 30, 2024 Apr 22.
Article in English | MEDLINE | ID: mdl-38647606

ABSTRACT

Type 2 diabetic osteoporosis (T2DOP) has received increasing attention from researchers. In this study, a total of 453 publications related to T2DOP from 2013 to 2022 were analyzed using bibliometric and visual analysis to identify the research trends and research hotspots in the field of T2DOP. PURPOSE: The objective of this study was to conduct a comprehensive bibliometric analysis of T2DOP-related publications from 2013 to 2022 to determine global research trends in T2DOP in terms of number of publications, countries/regions, institutions, authors, journals, funding agencies, and keywords. METHODS: All data were collected from the Web of Science Core Collection (WoSCC). All original research publications regarding T2DOP from 2013 to 2022 were retrieved. VOSviewer and Microsoft Office Excel were used to conduct the bibliometric and visual analysis. RESULTS: From 2013 to 2022, 515 relevant publications were published, with a peak in 2022 in the annual number of publications. The countries leading the research were USA and China. Sugimoto was the most influential authors. Capital Medical University and Nanjing Medical University were the most prolific institutions. Osteoporosis International was the most productive journal concerning T2DOP research. National Natural Science Foundation of China was the primary funding source for this research area. "Bone-mineral density", "fracture risk", and "postmenopausal women" were the most high-frequency keywords over the past 10 years. CONCLUSION: This was the first bibliometric study of diabetes mellitus and osteoporosis to exclusively examine type 2 diabetes mellitus. Our findings would provide guidance to understand the research frontiers and hot directions in the near future.


Subject(s)
Bibliometrics , Diabetes Mellitus, Type 2 , Osteoporosis , Humans , Diabetes Mellitus, Type 2/epidemiology , Osteoporosis/epidemiology , Biomedical Research/statistics & numerical data
12.
Childs Nerv Syst ; 40(6): 1901-1917, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38630267

ABSTRACT

PURPOSE: Over the past several decades, numerous articles have been published on brainstem tumors. However, there has been limited bibliometric analysis in this field. Therefore, we conducted a bibliometric analysis to elucidate the evolution and current status of brainstem tumor research. METHODS: We retrieved 5525 studies published in English between 1992 and 2023 from the Web of Science Core Collection database. We employed bibliometric tools and VOSviewer to conduct the analysis. RESULTS: We included a total of 5525 publications for further analysis. The annual publications have exhibited steady growth over time. The United States accounted for the highest number of publications and total citations. Among individual researchers, Liwei Zhang had the highest number of publications, while Cynthia Hawkins and Chris Jones shared the most citations, closely followed by Eric Bouffet in this field. The study titled "Diffuse brainstem glioma in children: critical review of clinical trials" stood out as the most cited work in this field. Keyword analysis revealed that immune therapy and epigenetic research are the focal points of this field. CONCLUSIONS: Our bibliometric analysis underscores the enduring significance of brainstem tumors in the realm of neuro-oncology research. The field's hotspots have transitioned from surgery and radiochemotherapy to investigating epigenetic mechanisms and immune therapy.


Subject(s)
Bibliometrics , Brain Stem Neoplasms , Humans , Brain Stem Neoplasms/therapy , Biomedical Research/trends , Biomedical Research/statistics & numerical data
13.
Gynecol Endocrinol ; 40(1): 2326102, 2024 Mar 02.
Article in English | MEDLINE | ID: mdl-38654639

ABSTRACT

BACKGROUND: Polycystic Ovary Syndrome (PCOS) is the most frequent endocrine disorder in female adults, and hyperandrogenism (HA) is the typical endocrine feature of PCOS. This study aims to investigate the trends and hotspots in the study of PCOS and HA. METHODS: Literature on Web of Science Core Collection (WoSCC) from 2008 to 2022 was retrieved, and bibliometric analysis was conducted using VOSviewer and CiteSpace software. RESULTS: A total of 2,404 papers were published in 575 journals by 10,121 authors from 2,434 institutions in 86 countries. The number of publications in this field is generally on the rise yearly. The US, China and Italy contributed almost half of the publications. Monash University had the highest number of publications, while the University of Adelaide had the highest average citations and the Karolinska Institute had the strongest cooperation with other institutions. Lergo RS contributed the most to the field of PCOS and HA. The research on PCOS and HA mainly focused on complications, adipose tissue, inflammation, granulosa cells, gene and receptor expression. CONCLUSION: Different countries, institutions, and authors should facilitate cooperation and exchanges. This study will be helpful for better understanding the frontiers and hotspots in the areas of PCOS and HA.


Subject(s)
Bibliometrics , Hyperandrogenism , Polycystic Ovary Syndrome , Polycystic Ovary Syndrome/epidemiology , Humans , Female , Hyperandrogenism/epidemiology , Biomedical Research/trends , Biomedical Research/statistics & numerical data
18.
J Obstet Gynaecol Res ; 50(5): 828-841, 2024 May.
Article in English | MEDLINE | ID: mdl-38467350

ABSTRACT

PROBLEM: A comprehensive analysis was conducted to explore the scientific output on immune-related recurrent pregnancy loss (RPL) and its key aspects. Despite the lack of clear explanations for most RPL cases, immune factors were found to play a significant role. METHOD OF STUDY: The study utilized a bibliometric approach, searching the Web of Science Core Collection database for relevant literature published between 2004 and 2023. RESULTS: The collected dataset consisted of 2228 articles and reviews, revealing a consistent increase in publications and citations over the past two decades. The analysis identified the United States and China as the most productive countries in terms of RPL research. Among the institutions, Fudan University in China emerged as the top contributor, followed by Shanghai Jiaotong University. Kwak-kim J was the most prolific author, while Christiansen Ob had the highest number of co-citations. The top 25 co-cited references on diagnosis, treatment, and mechanisms formed the foundation of knowledge in this field. By examining keyword co-occurrence and co-citations, the study found that antiphospholipid syndrome and natural killer cells were the primary areas of focus in immune-related RPL research. Additionally, three emerging hotspots were identified: chronic endometritis, inflammation, and decidual macrophages. These aspects demonstrated increasing interest and research activity within the field of immune-related RPL. CONCLUSIONS: Overall, this comprehensive bibliometric analysis provided valuable insights into the patterns, frontiers, and focal points of global scientific output related to immune-related RPL.


Subject(s)
Abortion, Habitual , Bibliometrics , Humans , Abortion, Habitual/immunology , Abortion, Habitual/epidemiology , Female , Pregnancy , Biomedical Research/trends , Biomedical Research/statistics & numerical data , Antiphospholipid Syndrome/immunology
20.
Int J Surg ; 110(5): 2788-2802, 2024 May 01.
Article in English | MEDLINE | ID: mdl-38376850

ABSTRACT

BACKGROUND: An extensive body of research has explored the role of autophagy in hepatocellular carcinoma (HCC), revealing its critical involvement in the disease's pathogenesis, progression, and therapeutic targeting. However, there is a discernible deficit in quantitative, analytical studies concerning autophagy in the context of HCC. Accordingly, this investigation endeavored to meticulously assess the evolution of autophagy research, employing bibliometric citation analysis to offer a comprehensive evaluation of the findings in this field. METHODS: The authors conducted a literature search on 2 August 2023, to extract relevant publications spanning from 2013 to 2022, indexed in the Science Citation Index-Expanded (SCIE) of the Web of Science Core Collection (WOSCC). Subsequently, the authors performed a bibliometric assessment of the compiled documents using visualization tools such as CiteSpace and VOSviewer. RESULTS: The search yielded 734 publications penned by 4699 authors, encompassing contributions from 41 countries and 909 institutions, disseminated across 272 journals, and comprising 26 295 co-cited references from 2667 journals. Notably, China led in publication volume with 264 articles (amounting to 35.9%) and exhibited the most robust collaboration with the United States. The mechanisms underlying autophagy's influence on the emergence and advancement of HCC, as well as the implicated proteins and genes, have garnered significant attention. In recent years, investigations of targeting autophagy and the resistance to sorafenib have surfaced as pivotal themes and emerging frontiers in this domain. CONCLUSIONS: This study rigorously collated and distilled the prevailing research narratives and novel insights on autophagy in HCC. The resultant synthesis provides a substantive foundation for medical professionals and researchers, as well as pivotal implications for future investigative endeavors in this arena.


Subject(s)
Autophagy , Bibliometrics , Carcinoma, Hepatocellular , Liver Neoplasms , Carcinoma, Hepatocellular/pathology , Liver Neoplasms/pathology , Humans , Autophagy/physiology , Biomedical Research/statistics & numerical data
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