Determinants of Dermatology Research Excellence from Top 2% Scholar Lists (2017-2023)

Abanoub Riad's analysis of the Stanford–Elsevier Lists of the top 2% most-cited scientists from 2017 to 2023, focusing on dermatology and venereal diseases. The dataset links excellent dermatologic scholars to national indicators, institutional rankings, and individual attributes to explore determinants of research excellence. It was last updated on April 13, 2026.

Use Cases

• Modeling the relationship between national development indicators (HDI, UHC) and citation counts based on the described analysis.
• Analyzing gender disparities in dermatology research output based on the reported proportions of women scholars and their bibliometric metrics.
• Mapping the geographic and institutional concentration of top dermatology researchers based on country and institutional affiliation data.
• Investigating the correlation between academic age and bibliometric indices like the modified H-index and composite score.

Strengths

• Links scholar-level bibliometrics to multi-level determinants including country, institution, and individual attributes.
• Based on a publicly recognized source: the Stanford–Elsevier Lists of top 2% scientists (2017-2023).
• Provides specific findings, such as 97.9% of career-long excellent dermatologic scholars being based in high-income countries.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document (757.3 KB), suggesting the underlying structured data may require extraction.

Provenance

Source

Stanford–Elsevier Lists of the top 2% most-cited scientists.

Collection Method

Scholars classified in Dermatology & Venereal Diseases were extracted and linked to country-level indicators, institutional rankings, and individual attributes.

Time Range

2017 to 2023

Freshness

Last updated 2026-04-13 12:57:13; freshness should be verified.

Geography

Global, with analysis by country and world region (e.g., EURO region).