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

Simon Boutry

SIB Swiss Institute of Bioinformatics

ORCID: 0000-0002-3214-2981

Also affiliated with Université Libre de Bruxelles, de Duve Institute, Institute of Bioinformatics, École Polytechnique Fédérale de Lausanne

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.

N/A
0Author DataRank · unranked

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 →

Papers

Driven by 1 paper. Top paper: “Rare variant association on unrelated individuals in case–control studies using aggregation tests: existing methods and current limitations”.

Rare variant association on unrelated individuals in case–control studies using aggregation tests: existing methods and current limitations

Briefings in Bioinformatics(2023)10.1093/bib/bbad412
N/A
0.241DataRank · unranked
4 citations

Raphaël Helaers, Tom Lenaerts, Miikka Vikkula, Simon Boutry