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

Laura Brown

University of California, San Francisco

ORCID: 0000-0002-9012-6680
MedicineComputer ScienceBiochemistry, Genetics and Molecular Biology

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
0.325Author 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 53%5 citations

Shenghuan Sun, Jacob G. Van Cleave, Linlin Wang, Fabienne Lucas, Laura Brown +12 more

Papers

Driven by 5 papers — median percentile 47. Top paper: DeepHeme: A generalizable, bone marrow classifier with hematopathologist-level performance.

Top 53%5 citations

Shenghuan Sun, Jacob G. Van Cleave, Linlin Wang, Fabienne Lucas, Laura Brown +12 more

1 citations

Linlin Wang, Fabienne Lucas, Laura Brown, Leonardo Boiocchi, Jeeyeon Baik +12 more

0 citations

Zhanghan Yin, Jacob G. Van Cleave, Linlin Wang, Brenda Fried, Khawaja H. Bilal +28 more

14 citations

Laura Brown, Ossama Tawfik, Rashna Madan, Yelizaveta Shnayder, Sufi M. Thomas +2 more

27 citations

Jeremiah Karrs, Laura Brown, Hao‐Wei Wang, Laszlo J. Karai, Trinh Hoc-Tran Pham +6 more