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

Loïc Lannelongue

University of Cambridge

ORCID: 0000-0002-9135-1345

Also affiliated with British Heart Foundation, Cambridge University Health Partners, Wellcome Connecting Science, Health Data Research UK

Environmental ScienceEngineeringBiochemistry, Genetics and Molecular BiologyNeuroscience

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 5%percentile
0.473Author 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 40%
0.473DataRank
Top 40%8 citations

Scott C. Ritchie, Yujian Liang, Paul R. H. J. Timmers, Maik Pietzner, Loïc Lannelongue +31 more

Papers

Driven by 1 paper — median percentile 60. Top paper: An atlas of genetic scores to predict multi-omic traits.

Top 40%
0.473DataRank
Top 40%8 citations

Scott C. Ritchie, Yujian Liang, Paul R. H. J. Timmers, Maik Pietzner, Loïc Lannelongue +31 more