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

Lizz Caulkins

Broad Institute

ORCID: 0000-0001-5529-0218

Also affiliated with Centre for Human Genetics, University of Oxford, Oxford Centre for Diabetes, Endocrinology and Metabolism

Biochemistry, Genetics and Molecular BiologyMedicine

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 2%percentile
2.7Author 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 8%136 citations

Marcin von Grotthuss, Jeffrey Massung, Dongkeun Jang, Lizz Caulkins, Ryan Koesterer +82 more

Papers

Driven by 2 papers — median percentile 92. Top paper: Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes.

110 citations

Moriel Singer‐Berk, Rachel G. Son, Abigail Sveden, Jordan C. Wood, Eleina England +95 more

Top 8%136 citations

Marcin von Grotthuss, Jeffrey Massung, Dongkeun Jang, Lizz Caulkins, Ryan Koesterer +82 more