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

Luke Ginocchio

NYU Langone Health

ORCID: 0000-0002-0183-7246

Also affiliated with Centre d'Imagerie BioMedicale

Medicine

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
1.1Author 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 19%29 citations

Tarun Dutt, Angela Tong, Luke Ginocchio, Riccardo Lattanzi, Mahesh Keerthivasan +7 more

Papers

Driven by 4 papers — median percentile 81. Top paper: FastMRI Prostate: A public, biparametric MRI dataset to advance machine learning for prostate cancer imaging.

Top 19%29 citations

Tarun Dutt, Angela Tong, Luke Ginocchio, Riccardo Lattanzi, Mahesh Keerthivasan +7 more

13 citations

Hersh Chandarana, Mary Bruno, Luke Ginocchio, Chenchan Huang, Angela Tong +4 more

9 citations

Andrew B. Rosenkrantz, Richard Huang, Luke Ginocchio, James Wysock, Samir S. Taneja +3 more

6 citations

Jingjia Chen, Luke Ginocchio, Mary Bruno, Yuhui Huang, Yao Wang +3 more