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

Claire Rioualen

Institut Français de Bioinformatique

ORCID: 0000-0002-7684-8679
Decision SciencesBiochemistry, Genetics and Molecular BiologyComputer Science

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
3.4Author DataRank

Indexed papers

3in 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 3 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 8%117 citations

Claire Rioualen, Heladia Salgado, Paloma Lara, Socorro Gama‐Castro, Patrick Lally +17 more

Papers

Driven by 3 papers — median percentile 50. Top paper: RegulonDB 11.0: Comprehensive high-throughput datasets on transcriptional regulation in Escherichia coli K-12.

Top 8%117 citations

Claire Rioualen, Heladia Salgado, Paloma Lara, Socorro Gama‐Castro, Patrick Lally +17 more

Top 50%8 citations

Laura Gómez-Romero, Víctor H. Tierrafría, Patricia Aquino, Claire Rioualen, Xiaoman Zhang +9 more

Top 62%3 citations

Laura Gómez-Romero, Víctor H. Tierrafría, Patricia Aquino, Claire Rioualen, Xiaoman Zhang +9 more