**Background:** Rheumatoid arthritis (RA) is a chronic autoimmune disease with high disability, involving both genetic and environmental factors. Over 100 trillion microbes inhabit the human gut, and accumulating evidence suggests gut microbiota (GM) plays a notable role in RA pathogenesis. Despite growing research, no prior bibliometric study had systematically mapped this field. This study aimed to depict the knowledge framework of GM in RA from a holistic perspective using bibliometric analysis.
**Methods:** Literature was searched in the Web of Science Core Collection (WOSCC) on November 14, 2022, covering publications from 1985 to 2022. Search terms combined "rheumatoid arthritis" with multiple GM-related terms (e.g., "gut microbiota," "intestinal microbiota," "fecal microbiota"). Only English articles and reviews were included, with manual exclusion of irrelevant reports. A total of 459 publications (255 original research articles, 204 reviews) were analyzed. Bibliometric software VOSviewer v1.6.18.0 and Bibliometrix were used to analyze annual output, cooperation networks, author productivity, journal distribution, keyword co-occurrence, topic migration, and thematic maps.
**Key Results:** The earliest retrievable article was a 2004 review; the first original research article appeared in 2005. Annual publications remained low until 2013, which marked a growth explosion point, with sustained increases through 2022. Total citations reached 20,153 (10,659 for research articles, 9,494 for reviews), and the H-index reached 71 by 2022. Publications came from 64 countries/regions. China and the United States had the highest output and citations, though China's citations were less than half of the US's despite slightly more articles. Harvard University had the most publications (17 total: 10 research articles, 7 reviews), followed by New York University (16) and Mayo Clinic (15). Among 2,472 authors, Scher, Jose U. (New York University) and Taneja, Veena (Mayo Clinic) were the most productive and cited. Frontiers in Immunology published the most articles (32, IF=8.786) with the fastest growth rate, while eLife had the highest total citations (1,248 citations, IF=8.713) from just 2 articles. The most locally cited research articles were Zhang X, 2015 (Nat Med, LCS=107, GCS=847) and Scher JU, 2013 (eLife, LCS=102, GCS=1,090). Keyword co-occurrence analysis revealed four clusters: (1) association evidence between GM and RA (red cluster, 45 nodes); (2) therapeutic applications including probiotics, diet, and drug modulation (green cluster, 37 nodes); (3) experimental research focusing on metabolomics, short-chain fatty acids, and animal models (blue cluster, 37 nodes); (4) immune mechanisms involving T cells, Th17, Treg cells, and toll-like receptors (yellow cluster, 30 nodes). Recent hotspot keywords (circa 2020) included "metabolites," "metabolomics," "acid," "b cells," "balance," "treg cells," and "probiotic supplementation." The thematic map showed that association studies (Motor Themes quadrant) were well-developed, while mechanism and application research fell into Basic and Emerging quadrants, indicating they are important but still developing.
**Clinical Implications:** This study provides a data-driven, objective introduction to the GM-RA research field, offering researchers a valuable reference for understanding development trends and selecting future directions. The evidence base confirming a bidirectional relationship between GM and RA is solid—GM dysbiosis occurs in RA patients, can precede clinical symptoms, and can be partially restored with treatment. However, detailed mechanisms remain unclear, with only a few bacterial strains (e.g., Prevotella copi, Lactobacillus species) having specific RA reports. The field has moved from establishing association toward mechanistic exploration (Th17/Treg balance, short-chain fatty acids, molecular mimicry) and application development (probiotic supplementation, dietary intervention, drug-microbiome interactions). The authors note that most application studies remain at the surface level of efficacy plus microbiota identification without elucidating internal mechanisms. Future research should prioritize deeper mechanistic studies and translational work to develop new RA treatment strategies based on GM modulation.