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

Rana Bazzi

Centre National de la Recherche Scientifique

ORCID: 0000-0001-7274-6694

Also affiliated with Laboratoire Chrono-Environnement, Université Marie et Louis Pasteur

EngineeringMaterials ScienceMedicineEnvironmental 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 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 →

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 100%0 citations

Rosu, Ana, Shreyas Kuddannaya, Laurent, Gautier, Rana Bazzi, Stéphane Roux +3 more

Papers

Driven by 3 papers — median percentile 0. Top paper: MPI performance of magnetic nanoparticles depends on matrix composition and temperature: implications for in vivo MPI signal amplitude, spatial resolution, and tracer quantification.

8 citations

Wenshen Wang, Stéphane Roux, Gautier Laurent, Rana Bazzi, Patrick Goodwill +3 more

1 citations

Ana Rosu, Shreyas Kuddannaya, Gautier Laurent, Rana Bazzi, Stéphane Roux +3 more

Top 100%0 citations

Rosu, Ana, Shreyas Kuddannaya, Laurent, Gautier, Rana Bazzi, Stéphane Roux +3 more