Bibliometric Analysis of Type 2 Diabetes and Aging Research from 2009 to 2025

A bibliometric dataset mapping 3,048 scientific publications on type 2 diabetes mellitus and aging from the Web of Science Core Collection, spanning 2009 to 2025. The data was analyzed by Tingting Gong using VOSviewer, CiteSpace, and R to construct collaboration networks and keyword evolution patterns. Publication output peaked in 2025, with research dominated by the United States and China.

Use Cases

• Analyze international research collaboration networks based on co-authorship data mentioned in the description
• Identify emerging thematic trends based on keyword evolution analysis described in the results
• Map the intellectual structure and central research nodes based on co-citation analysis
• Track publication growth and activity peaks over time based on the provided temporal analysis

Strengths

• Contains 3,048 publication records, providing a substantial corpus for analysis
• Covers a defined 17-year time range from 2009 to 2025, allowing longitudinal study
• Includes analysis of international collaboration, with the United States and China identified as dominant contributors

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count for the underlying raw data is unknown, which may limit suitability assessment
• The dataset is 11.8 MB in size, which may limit the granularity of the included data

Provenance

Source

Web of Science Core Collection

Collection Method

Bibliometric analysis using VOSviewer, CiteSpace, and R

Time Range

2009-01-01 to 2025-12-31

Freshness

Last updated 2026-04-22 05:46:09

Geography

Global, with noted dominance from the United States and China