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

Lekha Sleno

Université du Québec à Montréal

ORCID: 0000-0001-7923-8019

Also affiliated with Laboratory of Molecular Genetics, Bioanalytica (Switzerland), Institut thématique Génétique, génomique et bioinformatique

ChemistryBiochemistry, Genetics and Molecular BiologyPharmacology, Toxicology and Pharmaceutics

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 100%percentile
0Author 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 →

Papers

Driven by 3 papers. Top paper: Proteomic methods for drug target discovery.

N/A
0.745DataRank · unranked
143 citations

Andrew Emili, Lekha Sleno

18 citations

John Nam, Eric Chatelain, Yves Jackson, Leanne Ohlund, Asieh Rasoolizadeh +6 more

1 citations

Leanne Ohlund, Amy M. Inkster, Kayleigh S J Campbell, Maria S. Peñaherrera, Ursula Brain +6 more