Wen-Hui Wang, Ming-Hui Xia, Xin-Ru Liu, Shu-Feng Lei, Pei He
{"title":"A Bibliometric Analysis of GWAS on Rheumatoid Arthritis from 2002 to 2024.","authors":"Wen-Hui Wang, Ming-Hui Xia, Xin-Ru Liu, Shu-Feng Lei, Pei He","doi":"10.1159/000543947","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Rheumatoid arthritis (RA) has become a serious threat to human health and quality of life worldwide. Previous studies have demonstrated that genetic factors play a crucial role in the onset and progression of RA. Due to the rapid development of genome-wide association study (GWAS) and large-scale genetic analysis, GWAS research on RA has received widespread attention in recent years. Therefore, we conducted a comprehensive visualization and bibliometric analysis of publications to identify hotspots and future trends in GWAS research on RA.</p><p><strong>Methods: </strong>Literature on RA and GWAS published between 2002 and 2024 was extracted from the Web of Science Core Collection database by strategic screening. Collected data were further analyzed by using VOSviewer, CiteSpace, and Excel. The collaborations networks of countries, authors, institutions, and the co-citation networks of publications were visualized. Finally, research hotspots and fronts were examined.</p><p><strong>Results: </strong>A total of 713 publications with 45,773 citations were identified. The number of publications and citations has had a significant surge since 2007. The United States contributed the most publications globally. Okada, Yukinori, was the most influential author. The most productive institution in this field was the University of Manchester. The analysis of keywords revealed that \"mendelian randomization analysis\", \"association\", \"innate\", \"instruments\", \"bias\", \"pathogenesis\", and \"genome-wide association study\" are likely to be the frontiers of research in this field.</p><p><strong>Conclusion: </strong>This study can be used to predict future research advances in the fields of GWAS on RA and helps to promote academic collaboration among scholars.</p>","PeriodicalId":13226,"journal":{"name":"Human Heredity","volume":" ","pages":"18-32"},"PeriodicalIF":1.1000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Heredity","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1159/000543947","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/3 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Rheumatoid arthritis (RA) has become a serious threat to human health and quality of life worldwide. Previous studies have demonstrated that genetic factors play a crucial role in the onset and progression of RA. Due to the rapid development of genome-wide association study (GWAS) and large-scale genetic analysis, GWAS research on RA has received widespread attention in recent years. Therefore, we conducted a comprehensive visualization and bibliometric analysis of publications to identify hotspots and future trends in GWAS research on RA.
Methods: Literature on RA and GWAS published between 2002 and 2024 was extracted from the Web of Science Core Collection database by strategic screening. Collected data were further analyzed by using VOSviewer, CiteSpace, and Excel. The collaborations networks of countries, authors, institutions, and the co-citation networks of publications were visualized. Finally, research hotspots and fronts were examined.
Results: A total of 713 publications with 45,773 citations were identified. The number of publications and citations has had a significant surge since 2007. The United States contributed the most publications globally. Okada, Yukinori, was the most influential author. The most productive institution in this field was the University of Manchester. The analysis of keywords revealed that "mendelian randomization analysis", "association", "innate", "instruments", "bias", "pathogenesis", and "genome-wide association study" are likely to be the frontiers of research in this field.
Conclusion: This study can be used to predict future research advances in the fields of GWAS on RA and helps to promote academic collaboration among scholars.
期刊介绍：
Gathering original research reports and short communications from all over the world, ''Human Heredity'' is devoted to methodological and applied research on the genetics of human populations, association and linkage analysis, genetic mechanisms of disease, and new methods for statistical genetics, for example, analysis of rare variants and results from next generation sequencing. The value of this information to many branches of medicine is shown by the number of citations the journal receives in fields ranging from immunology and hematology to epidemiology and public health planning, and the fact that at least 50% of all ''Human Heredity'' papers are still cited more than 8 years after publication (according to ISI Journal Citation Reports). Special issues on methodological topics (such as ‘Consanguinity and Genomics’ in 2014; ‘Analyzing Rare Variants in Complex Diseases’ in 2012) or reviews of advances in particular fields (‘Genetic Diversity in European Populations: Evolutionary Evidence and Medical Implications’ in 2014; ‘Genes and the Environment in Obesity’ in 2013) are published every year. Renowned experts in the field are invited to contribute to these special issues.
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