NTDs Research Impact Analysis: Bibliometric and Country-Level Indicators

107,251 publications on neglected tropical diseases integrated with country-level indicators from open-access global databases. David A. Hernandez-Paez created this longitudinal dataset to evaluate the population-level impact of NTDs research, last updated in May 2026. The analysis stratifies countries by World Bank income classification.

Use Cases

• Analyze associations between research output and health spending indicators based on country-level data.
• Assess heterogeneity in research impact across income groups based on stratified analysis.
• Model trends in water, sanitation, and hygiene (WASH) outcomes based on bibliometric data.
• Evaluate the development of drug pipelines for neglected tropical diseases based on longitudinal data.

Strengths

• Integrates a substantial corpus of 107,251 scientific publications.
• Links bibliometric data with country-level indicators from open-access global databases.
• Provides longitudinal analysis covering over two decades of research growth.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Freshness should be verified as the last update date is projected to be in 2026.

Provenance

Source

figshare

Collection Method

Bibliometric data integrated with country-level indicators from open-access global databases.

Time Range

Covers over two decades of research growth.

Freshness

Last updated 2026-05-21 17:38:38

Geography

Global, with countries stratified by World Bank income classification.