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

Kathryn E. Kemper

University of California, San Francisco

ORCID: 0000-0002-2847-0325
Biochemistry, Genetics and Molecular BiologyNeuroscienceMedicine

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
0.705Author 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 28%26 citations

Lachlan T. Strike, Futao Zhang, Yan Holtz, Zhili Zheng, Kathryn E. Kemper +7 more

Papers

Driven by 3 papers — median percentile 72. Top paper: A unified framework for association and prediction from vertex‐wise grey‐matter structure.

Top 28%26 citations

Lachlan T. Strike, Futao Zhang, Yan Holtz, Zhili Zheng, Kathryn E. Kemper +7 more

17 citations

Christine J. McGrath, Linda O. Eckert, John Kinuthia, Benson Singa, Agnes Langat +2 more

17 citations

Courtney R. Lyles, Anna D. Rubinsky, Kathryn E. Kemper, Judith D. Auerbach, Urmimala Sarkar +3 more