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

Jeffrey Duncan

Michigan Department of Health and Human Services

ORCID: 0000-0003-2320-5079

Also affiliated with University of Georgia

Decision SciencesMedicineHealth Professions

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 6%percentile
0.217Author 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 63%3 citations

Roberto Romero, Lindsey Myers, Jeffrey Duncan, Lami Yeo, Sanket Jani +2 more

Papers

Driven by 2 papers — median percentile 37. Top paper: Racial disparities in COVID-19 mortality across Michigan, United States.

44 citations

Isabel Martinez, Abdulrahman M. El‐Sayed, Chad R. Wells, Lindsey Myers, Jeffrey Duncan +5 more

Top 63%3 citations

Roberto Romero, Lindsey Myers, Jeffrey Duncan, Lami Yeo, Sanket Jani +2 more