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

Shubhabrata Mukherjee

University of Washington

ORCID: 0000-0002-9093-539X

Also affiliated with Seattle University

MedicineComputer ScienceNeuroscience

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 3%percentile
1.0Author DataRank

Indexed papers

3in 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 3 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 33%27 citations

Seo-Eun Choi, Michael L. Lee, Shubhabrata Mukherjee, Emily H. Trittschuh, R. Elizabeth Sanders +17 more

Papers

Driven by 4 papers — median percentile 55. Top paper: Ceiling effects and differential measurement precision across calibrated cognitive scores in the Framingham Study..

Top 33%27 citations

Seo-Eun Choi, Michael L. Lee, Shubhabrata Mukherjee, Emily H. Trittschuh, R. Elizabeth Sanders +17 more

Top 45%4 citations

Jonathan Gruhl, Eric J. Wu, Shubhabrata Mukherjee, Seung W. Choi, Steven P. Reise +9 more

4 citations

Madison Cuppels, Rory Boyle, Hannah M Klinger, Oliver Langford, Gillian Coughlan +30 more

Top 100%0 citations

Panpan Zhang, Logan Dumitrescu, Shubhabrata Mukherjee, Michael L. Lee, Seo-Eun Choi +11 more