Sequencing technology as a major impetus in the advancement of studies into rheumatism: A bibliometric study

Front Immunol. 2023 Feb 17:14:1067830. doi: 10.3389/fimmu.2023.1067830. eCollection 2023.

Abstract

Background: Rheumatism covers a wide range of diseases with complex clinical manifestations and places a tremendous burden on humans. For many years, our understanding of rheumatism was seriously hindered by technology constraints. However, the increasing application and rapid advancement of sequencing technology in the past decades have enabled us to study rheumatism with greater accuracy and in more depth. Sequencing technology has made huge contributions to the field and is now an indispensable component and powerful tool in the study of rheumatism.

Methods: Articles on sequencing and rheumatism, published from 1 January 2000 to 25 April 2022, were retrieved from the Web of Science™ (Clarivate™, Philadelphia, PA, USA) database. Bibliometrix, the open-source tool, was used for the analysis of publication years, countries, authors, sources, citations, keywords, and co-words.

Results: The 1,374 articles retrieved came from 62 countries and 350 institutions, with a general increase in article numbers during the last 22 years. The leading countries in terms of publication numbers and active cooperation with other countries were the USA and China. The most prolific authors and most popular documents were identified to establish the historiography of the field. Popular and emerging research topics were assessed by keywords and co-occurrence analysis. Immunological and pathological process in rheumatism, classification, risks and susceptibility, and biomarkers for diagnosis were among the hottest themes for research.

Conclusions: Sequencing technology has been widely applied in the study of rheumatism and propells research in the area of discovering novel biomarkers, related gene patterns and physiopathology. We suggest that further efforts be made to advance the study of genetic patterns related to rheumatic susceptibility, pathogenesis, classification and disease activity, and novel biomarkers.

Keywords: classification; expression; identification; rheumatism; sequencing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bibliometrics
  • China
  • Databases, Factual
  • Humans
  • Rheumatic Diseases*
  • Technology

Grants and funding

This study was supported in part by the National Natural Science Foundation of China (Grant No. 81801620); Henan medical science and technology research project (No. 201602031); Key project of provincial and ministerial co-construction of Henan Medical Science and Technology (No. SBGJ202002031). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.