Bibliometric Analysis of Curcumin and Obesity Research, 2006-2025

709 publication records from the Web of Science Core Collection, plus 234 from Scopus, were analyzed by Shan Liu in May 2026. The dataset supports a bibliometric mapping of research trends on the anti-obesity effects of curcumin. It includes data on publication volume, country and institutional collaborations, author networks, and keyword evolution.

Use Cases

• Analyze annual publication growth trends based on the quadratic polynomial model described.
• Map international collaboration networks based on country and institutional contribution data.
• Identify research theme evolution based on keyword co-occurrence and co-citation patterns.
• Validate bibliometric trends across databases based on the cross-validation between WoSCC and Scopus.

Strengths

• Includes 709 primary records from WoSCC and 234 validation records from Scopus, enabling cross-database consistency checks.
• Covers a 20-year time range from 2006 to 2025, allowing for longitudinal trend analysis.
• Analysis performed with established bibliometric tools (VOSviewer, CiteSpace, Bibliometrix).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data tables is unknown, which may limit suitability assessment.
• The 10.3 KB file size suggests a very limited scope, likely containing summary statistics rather than raw publication metadata.

Provenance

Source

Publications retrieved from Web of Science Core Collection and Scopus.

Collection Method

Bibliometric and visualization analysis performed using VOSviewer, CiteSpace, and Bibliometrix/Biblioshiny.

Time Range

2006 to 2025

Freshness

Last updated 2026-05-28 05:58:31; freshness should be verified.

Geography

Global, with specific contributions noted for China and the United States.