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

Richard Culliford

ORCID: 0000-0003-4534-9241
MedicineBiochemistry, 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 3%percentile
1.2Author DataRank

Indexed papers

2in 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 2 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 23%27 citations

Amit Sud, C. Mills, Abi Hyde, Richard Culliford, Philip Law +8 more

Papers

Driven by 6 papers — median percentile 63. Top paper: Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers.

Top 23%27 citations

Amit Sud, C. Mills, Abi Hyde, Richard Culliford, Philip Law +8 more

Top 50%9 citations

Andreas Gruber, Ben Kinnersley, Daniel Chubb, Anna Frangou, Giulio Caravagna +29 more

3 citations

Alex J. Cornish, Andreas Gruber, Richard S. Houlston, Amit Sud, Philip Law +29 more

2 citations

Amit Sud, C. Mills, Abi Hyde, Richard Culliford, Philip Law +8 more

0 citations

Amit Sud, C. Mills, Abi Hyde, Richard Culliford, Philip Law +8 more

158 citations

Andreas Gruber, Ben Kinnersley, Daniel Chubb, Anna Frangou, Giulio Caravagna +31 more