UNASSIGNED: Recurrent aphthous stomatitis (RAS) is a common oral mucosal disease. Despite a variety of scientific articles have been available till date, merely a few scientometric analyses have been systematically carried out in this field. The objective of this study was to recognize the hotspots and research trends related to RAS via bibliometric approach.
UNASSIGNED: The Elsevier\'s Scopus database was searched to retrieve qualified literature through an advanced search strategy on 9 Feb 2023. The basic information was collected as following: article type, publication year, journals, impact factor, the count of citations, citation density, keywords, authors, contributing institutions and country.
UNASSIGNED: A list of 986 publications were identified from 1933 to 2022, and the number of citations for each paper varied from 0 to 283. A steady increasing trend in the number of documents could be observed each decade with the summit in 2010s. Controlled study (n = 334) and major clinical study (n = 192) were the most common types of study design. Scully C (n = 26) was identified as the most productive author. United States (n = 166) and Turkey (n = 101) top the list of dedicating countries.
UNASSIGNED: This report would offer profound insight into the current status of RAS research and serve as a reference source for anyone planning to enhance the quality of future work.

The development of artificial intelligence (AI) has revolutionised the medical system, empowering healthcare professionals to analyse complex nonlinear big data and identify hidden patterns, facilitating well-informed decisions. Over the last decade, there has been a notable trend of research in AI, machine learning (ML), and their associated algorithms in health and medical systems. These approaches have transformed the healthcare system, enhancing efficiency, accuracy, personalised treatment, and decision-making. Recognising the importance and growing trend of research in the topic area, this paper presents a bibliometric analysis of AI in health and medical systems. The paper utilises the Web of Science (WoS) Core Collection database, considering documents published in the topic area for the last four decades. A total of 64,063 papers were identified from 1983 to 2022. The paper evaluates the bibliometric data from various perspectives, such as annual papers published, annual citations, highly cited papers, and most productive institutions, and countries. The paper visualises the relationship among various scientific actors by presenting bibliographic coupling and co-occurrences of the author\'s keywords. The analysis indicates that the field began its significant growth in the late 1970s and early 1980s, with significant growth since 2019. The most influential institutions are in the USA and China. The study also reveals that the scientific community\'s top keywords include \'ML\', \'Deep Learning\', and \'Artificial Intelligence\'.

OBJECTIVE: To analyze the bibliometric characteristics of the top 50 cited articles in elbow arthroscopy.
METHODS: The Web of Science Core Collection was employed to systematically retrieve publications related to elbow arthroscopy. Subsequently, the top 50 cited articles meeting the predefined inclusion criteria were meticulously documented and subjected to comprehensive bibliometric analysis.
RESULTS: The top 50 cited articles spanned the years 1999-2017, with the 2010s emerging as the most prolific decade. Citations per article varied from 24 to 211, and citation density ranged from 1.61 to 9.17. The United States dominated in article production and citations. Predominantly, the articles took the form of case series and expert opinions, with a notable absence of level I or II evidence. The keywords with the highest frequencies were \"arthrofibrosis,\" \"complications,\" and \"release.\" These keywords formed five main clusters: stiff elbow, osteoarthritis, osteochondritis dissecans, and lateral epicondylitis.
CONCLUSIONS: The majority of the top 50 cited articles in elbow arthroscopy comprised case series exhibiting Level IV or V evidence. Despite a dynamic development post-2010, elbow arthroscopy articles showed lower mean citations and citation density compared to other joints, potentially influenced by concerns about complications. However, with the increasing prevalence of elbow arthroscopy procedures, it is anticipated that higher-level articles, particularly those focusing on complications and exploring additional indications, will supersede some of the articles included in this analysis.
METHODS: IV.

Objective: To perform a bibliometric analysis in the field of biomarkers for systemic lupus erythematosus. Methods: Publications were from Web of Science. Microsoft Excel, VOSviewer, Science Mapping Analysis software Tool, CiteSpace and Tableau were used for analysis. Results: A total of 1112 publications were identified; 1503 institutions from 69 countries contributed, with the highest outputs from China and Karolinska University Hospital. Petri had a tremendous impact. Academic collaborations were localized. Lupus and Arthritis & Rheumatology were the top two journals in terms of publications and citations. Lymphocyte, autoantibody, type I interferon, genetic polymorphisms and urinary biomarkers have been high-frequency themes. Conclusion: Global collaboration needs to be further strengthened. Immune cell, cytokine and gene-level research as a whole and noninvasive tests are the future trends.
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BACKGROUND: PPAR-γ is one of three members of the PPAR group of the nuclear receptor superfamily and plays an important regulatory role as a ligand-dependent transcription factor.
OBJECTIVE: This study aimed to identify the top 100 most influential articles in the field of PPAR-γ. We hypothesized that a bibliometric and scientometric analysis of the PPAR-γ research field could render trends that provide researchers and funding agencies valuable insight into the history of the field, and potential future directions.
METHODS: A literature search of publications was carried out using the Web of Science (WOS) and Scopus database based on specific subject words on September 11, 2023. Articles were listed in descending order of the number of citations. Statistical analysis was performed on the data of the top 100 cited articles in terms of year of publication, journal, research direction, institution, author, and country. Meanwhile, co-authorship networks and co-citation networks were constructed by using VOSviewer software, and keywords were analyzed for cooccurrence.
RESULTS: A total of 9,456 articles regarding PPAR-γ were identified and analyzed based on the WOS database, and the top 100 cited articles in the field of PPAR-γ were ranked by citation. The most cited article was published in 1998, with 2,571 citations and a density of 102.80 citations/ year. Of the 100 articles, Harvard University was the institution with the highest number of articles published. Spiegelman, B. M. was the author with the highest number of articles published. Using the VOSviewer software, we found that the most used keywords were geneexpression, activated receptor-gamma, and adipocyte differentiation. PPAR-γ, one of the most widely studied transcription factors, is an important drug target for many diseases. Therefore, screening for small molecule compounds targeting PPAR-γ remains of great value.
CONCLUSIONS: The present study identified the top 100 most influential articles in the field of PPAR-γ, which help global researchers to better understand research perspectives and develop future research directions of PPAR-γ.

Background: The utilization of antibiotic adjuvants presents a promising strategy for addressing bacterial resistance. Recently, the development of antibiotic adjuvants has attracted considerable attention from researchers in academia and industry. This study aimed to identify the most influential publications on antibiotic adjuvants and elucidate the hotspots and research trends in this field. Method: Original articles and reviews related to antibiotic adjuvants were retrieved from the Web of Science Core Collection database. The top 100 highly cited publications were selected and the visual analyses of publication outputs, countries, institutions, authors, journals, and keywords were conducted using Excel, VOSviewer, or CtieSpace software tools. Results: The top 100 cited publications concerning antibiotic adjuvants spanned the years 1977-2020, with citation counts ranging from 174 to 2,735. These publications encompassed 49 original articles and 51 reviews. The journal \"Antimicrobial Agents and Chemotherapy\" accounted for the highest number of publications (12%). The top 100 cited publications emanated from 39 countries, with the United States leading in production. Institutions in Canada and the United States exhibited the most substantial contributions to these highly cited publications. A total of 526 authors participated in these studies, with Robert E.W. Hancock, Laura J. V. Piddock, Xian-Zhi Li, Hiroshi Nikaido, and Olga Lomovskaya emerging as the most frequently nominated authors. The most common keywords included \"E. coli\", \"P. aeruginosa\", \"S. aureus\", \"in-vitro activity\", \"antimicrobial peptide\", \"efflux pump inhibitor\" \"efflux pump\", \"MexAB-OprM\" and \"mechanism\". These keywords underscored the hotspots of bacterial resistance mechanisms and the development of novel antibiotic adjuvants. Conclusion: Through the bibliometric analysis, this study identified the top 100 highly cited publications on antibiotic adjuvants. Moreover, the findings offered a comprehensive understanding of the characteristics and frontiers in this field.

The impact of a scientific publication is often measured by the number of citations it receives from the scientific community. However, citation count is susceptible to well-documented variations in citation practices across time and discipline, limiting our ability to compare different scientific achievements. Previous efforts to account for citation variations often rely on a priori discipline labels of papers, assuming that all papers in a discipline are identical in their subject matter. Here, we propose a network-based methodology to quantify the impact of an article by comparing it with locally comparable research, thereby eliminating the discipline label requirement. We show that the developed measure is not susceptible to discipline bias and follows a universal distribution for all articles published in different years, offering an unbiased indicator for impact across time and discipline. We then use the indicator to identify science-wide high impact research in the past half century and quantify its temporal production dynamics across disciplines, helping us identifying breakthroughs from diverse, smaller disciplines, such as geosciences, radiology, and optics, as opposed to citation-rich biomedical sciences. Our work provides insights into the evolution of science and paves a way for fair comparisons of the impact of diverse contributions across many fields.

The collection of recommendations and guidelines for conducting and reporting neuroimaging meta-analyses, called \"Ten simple rules for neuroimaging meta-analysis\" by Müller et al., has been published for a few years. Here, the papers citing this reference were examined to evaluate the rationale of the quotations and what quotation errors existed. In May 2023, an online query via Scopus identified 386 papers citing this reference, 2 of which were inaccessible. The resultant 384 papers were checked to identify the total number of quotations to the reference, the exact quotations, which of the ten recommendations/rules was concerned by each quotation, and if any quotation error existed. Results found that the reference by Müller et al. were quoted 804 times by the 384 papers, meaning an average of 2.1 quotations per paper. Out of the 804 quotations, the three rules that the researchers most frequently referred were the power of the meta-analysis (Rule #2, 14.1%), the consistency of the search coverage and reference space (Rule #4, 13.8%), and the statistical threshold (Rule #8, 10.2%). Overall, 63 quotations from 51 papers contained some errors. In other words, 7.8% (63/804) of the quotations contained errors and they involved 13.3% (51/384) of the papers. The commonest quotation errors were dealing with a failure to substantiate the assertion, unrelated to the assertion, and oversimplification of the original notion. Some notable quotation error examples were to quote Müller et al. to substantiate the assertion of having at least 10 datasets to be considered to have adequate power for ES-SDM meta-analysis (no such recommendation), and having a misquoted primary cluster-forming threshold of p < 0.05 or p < 0.005 (should be p < 0.001). The neuroscience community should be cautious and double-check the accuracy of assertions, even with a quotation.

UNASSIGNED: To characterize the 100 most-cited articles in the field of Wilson\'s Disease (WD) to provide a general overview and reveal the historical developments classical studies, and new findings.
UNASSIGNED: WD-related articles were searched on the Web of Science database. The 100 most-cited articles were retrieved and their descriptive statistics were analyzed.
UNASSIGNED: The 100 most-cited articles in the field of WD were selected and several parameters, including citation count, citation density, first author, corresponding author, journal, country, institution, and keywords were extracted to assess the overall quality and impact of the articles.
UNASSIGNED: Most of the selected 100 articles were published in the 1990s and 2000s, with the highest number of articles published in 2005. Citations per paper ranged from 100 to 1,631, with a mean number of citations of 199.03. The top 100 articles were published in 38 journals, and the majority were published in the Journal of Biological Chemistry. The most prominent research themes were clinical presentations, clinical trials, copper transport mechanisms, and dysregulation of copper metabolism. Prof. Svetlana Lutsenko, Prof. Peter Ferenci, Prof. George J. Brewer, and Prof. Diane W. Cox were among the most influential researchers in this field, while Euro-American countries were the most dominant in terms of research output. Keywords network analysis identified \"Transporting ATPase,\" \"ATP7B,\" and \"Menkes disease\" as the most influential keywords. Moreover, disease management, WD clinical phenotype, ATP7B function, and copper metabolism are potential hotspots in future WD research.
UNASSIGNED: This study reveals the most influential articles in the field of WD research. In addition, the major research themes and technological innovations in the field of WD worldwide are presented.

BACKGROUND: The number of citations a paper receives reflects its impact on the scientific community. We aimed to identify and explore the characteristics of the most cited papers on total anomalous pulmonary venous connection (TAPVC).
METHODS: Web of Science Core Collection Expanded Science Citation Index (1900 to present) was searched and papers on TAPVC were reviewed. Articles were ranked by the number of citations and the 100 most cited papers were analyzed.
RESULTS: The 100 most cited papers were published between 1952 and 2018 with a mean number of citations of 52 (range 26 to 148). The 1990s was the most productive decade. All articles except one were written in English. The 100 most cited articles were published in 24 journals, led by Journal of Thoracic and Cardiovascular Surgery (21 articles), followed by Annals of Thoracic Surgery (20 articles), and Circulation (16 articles). The United States of America contributed most of the 100 most cited papers (60 articles). Hospital for Sick Children, Toronto led the list of citation classics with six papers. Christopher A. Caldarone, John W. Kirklin, and P. E. F. Daubeney were the most productive authors with 3 articles each. More than half of the papers were cohort studies (51 articles). Surgery, radiology and etiology were the main topics. Thirty-one articles were funded by public foundations, and none received support from commercial companies.
CONCLUSIONS: The bibliometric analysis gives a historical perspective on scientific progress in the field of TAPVC and lays the foundation for future research.