Bibliometric Analysis of Lipidomics and Metabolomics in Human Disease, 2004-2024

A bibliometric and text-mining dataset analyzing 9,628 scientific articles on lipidomics and metabolomics in human diseases from 2004 to 2024. The data was harmonized and analyzed using Bibliometrix, Scimago Graphica, OpenRefine, and custom R scripts. It was created by Alejandro I. Trejo-Castro and last updated on 2026-05-19.

Use Cases

• Analyze publication trends and annual growth rates based on the reported 32.6% expansion.
• Map thematic structures and keyword dynamics based on the semantic and conceptual mapping described.
• Identify leading journals, authors, and countries based on the bibliometric indicators from Scopus, Web of Science, and PubMed.
• Trace the evolution of core and emerging topics like Alzheimer's disease, AI, and multi-omics integration based on the results summary.

Strengths

• Includes 9,628 harmonized articles from a 20-year period (2004-2024).
• Analysis is validated through a multi-database comparative approach using Scopus, Web of Science Core Collection, and PubMed.
• The dataset is small (8.2 KB) and openly licensed under CC-BY-4.0 for easy access and reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's small size (8.2 KB) suggests it contains aggregated analysis results, not the raw article corpus.

Provenance

Source

Scientific articles indexed in Scopus, with validation searches in Web of Science Core Collection and PubMed.

Collection Method

Bibliometric and text-mining analysis using Bibliometrix, Scimago Graphica, OpenRefine, and custom R scripts.

Time Range

2004 to 2024

Freshness

Last updated 2026-05-19 04:25:21; freshness should be verified.

Geography

Global, with leading contributions from the United States, China, and Europe.