Bibliometric Analysis of Multi-Omics Research in Autoimmune Diseases, 2005-2025

A bibliometric analysis of 2,576 documents from the Web of Science Core Collection, covering research on multi-omics applications in systemic autoimmune rheumatic diseases from 2005 to 2025. The dataset was created by Lili Cheng and published on figshare in April 2026. It includes annual publication counts, country contributions, and thematic evolution analysis.

Use Cases

• Analyzing publication growth trends based on annual output data from 2005 to 2025
• Mapping international collaboration patterns based on country-level contribution statistics
• Tracking thematic shifts in research focus based on keyword and burst analyses described
• Identifying core institutions and journals in the field based on citation analysis results

Strengths

• Includes 2,576 documents (2,072 articles and 504 reviews) for analysis
• Covers a 20-year time range from 2005 to 2025
• Provides specific country-level statistics (e.g., China 27%, USA 17.3%)
• Validated with a complementary PubMed analysis for thematic robustness

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The 12.3 KB file size suggests the dataset is a summary document, not the raw bibliographic data

Provenance

Source

Web of Science Core Collection (WoSCC) database

Collection Method

Bibliometric and visual analysis performed using CiteSpace, VOSviewer, Python, and bibliometrix R package

Time Range

2005-01-01 to 2025-12-31

Freshness

Last updated 2026-04-16 05:24:32; freshness should be verified

Geography

Global, with specific mention of China, United States, and European countries