Camille Juigné

Institut national de recherche en sciences et technologies du numérique

Also affiliated with Sparks

Biochemistry, 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.

N/A

0Author DataRank · unranked

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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Towards a reproducible interactome: semantic-based detection of redundancies to unify protein–protein interaction databases

Bioinformatics(2022)10.1093/bioinformatics/btac013

Top 56%

0.292DataRank

Top 56%6 citations

Camille Juigné, Olivier Dameron, Gwénaël Rabut, E. Becker, Marc Melkonian

Papers

Driven by 2 papers — median percentile 44. Top paper: “Towards a reproducible interactome: semantic-based detection of redundancies to unify protein–protein interaction databases”.