🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Mehmet Ali Ergün

United States Food and Drug Administration

ORCID: 0000-0002-2480-8077

Also affiliated with Center for Drug Evaluation and Research, Food and Drug Administration

MedicineBiochemistry, Genetics and Molecular BiologyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Top 100%0 citations

Kathryn P. Lowry, Allison W. Kurian, Jeanne S. Mandelblatt, Mehmet Ali Ergün, Hui Huang +10 more

Papers

Driven by 3 papers — median percentile 0. Top paper: Impact of the COVID-19 Pandemic on Breast Cancer Mortality in the US: Estimates From Collaborative Simulation Modeling.

170 citations

Kathryn P. Lowry, Allison W. Kurian, Jeanne S. Mandelblatt, Mehmet Ali Ergün, Hui Huang +11 more

Top 100%0 citations

Kathryn P. Lowry, Allison W. Kurian, Jeanne S. Mandelblatt, Mehmet Ali Ergün, Hui Huang +10 more