Top 100 cited articles on rheumatoid arthritis: A bibliometric analysis

Medicine (Baltimore). 2019 Feb;98(8):e14523. doi: 10.1097/MD.0000000000014523.

Abstract

Background: Rheumatoid arthritis (RA) is a worldwide health issue; although the prospects for most patients are favorable, many still do not respond to the current therapies. Numerous articles related to RA have been published in the past 3 decades; an analysis of the most cited articles in this field was undertaken to identify important articles regarding RA related to pathogenesis, diagnosis, and treatment.

Methods: We searched the Web of Science and collected the general information of the top 100 cited articles. The citation number, publication year, authorship, impact factor (IF) of the journal in the publication year, country origins, article types, and funding source were evaluated.

Results: The total citations of the top 100 articles varied from 11,922 to 556 and were published between 1985 and 2014. These articles were published in 24 journals, led by Arthritis and Rheumatism (n = 33), followed by the New England Journal of Medicine (n = 15). Most of the articles (n = 80) were produced by ≥5 authors. They were from 34 countries, and the United Stated contributed to most of the articles (n = 58), followed by the United Kingdom (n = 42). The article types were divided into clinical study (n = 55), review (n = 17), meta-analysis (n = 4), clinical guideline (n = 10), and basic science (n = 14). Eighty-seven percent of the articles were supported either by public organizations or medical companies.

Conclusion: This study provided insights into the development of publications and their citations of RA in the past 3 decades. Clinical studies or clinical guidelines published in high-impact journals were more likely to be cited in the field of RA. The latest publications may not be included in the top 100 cited articles, as the more recent studies have not had sufficient time to accumulate the number of citations.

MeSH terms

  • Arthritis, Rheumatoid / drug therapy*
  • Bibliometrics*
  • Humans
  • Journal Impact Factor
  • Publications / statistics & numerical data*