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

Nathan C. Hurley

University of Wisconsin–Madison

ORCID: 0000-0003-3055-8825

Also affiliated with Texas A&M University

Computer ScienceMedicineEngineering

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 2%percentile
2.8Author DataRank

Indexed papers

2in 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 2 indexed papers 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 12%49 citations

Frederick Warner, H. P. Young, Nathan C. Hurley, Rebecca Pulk, Avinainder Singh +21 more

Papers

Driven by 3 papers — median percentile 84. Top paper: Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection.

Top 12%49 citations

Frederick Warner, H. P. Young, Nathan C. Hurley, Rebecca Pulk, Avinainder Singh +21 more

Top 20%21 citations

Frederick Warner, H. P. Young, Nathan C. Hurley, Rebecca Pulk, Avinainder Singh +21 more

3 citations

Nihar R. Desai, Sanket S. Dhruva, Rohan Khera, Wade L. Schulz, Chenxi Huang +7 more