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

Matthew Hodgman

University of Michigan

ORCID: 0009-0005-3757-4141
Biochemistry, Genetics and Molecular BiologyComputer ScienceMedicine

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 4%percentile
0.751Author 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 27%13 citations

Matthew Hodgman, Brianna B. Greenwood, Devorah O. Stucki, Katrisa M. Ward, Mark Ebbert +4 more

Papers

Driven by 3 papers — median percentile 73. Top paper: MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging.

247 citations

Artem Sokolov, Clarence Yapp, Yu‐An Chen, Jeremy L. Muhlich, Joshua M. Hess +22 more

Top 27%13 citations

Matthew Hodgman, Brianna B. Greenwood, Devorah O. Stucki, Katrisa M. Ward, Mark Ebbert +4 more

6 citations

Taylor E Meurs, Matthew Hodgman, Benjamin P. Song, Kyle N. Miller, Mark Ebbert +3 more