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

Tommaso Celli

University of Florence

ORCID: 0000-0002-7944-0070
EngineeringBiochemistry, 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.

Top 3%percentile
1.6Author 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 13%49 citations

Gaia Meoni, Lorenzo Pelagatti, Tommaso Celli, Francesca Veneziani, Fabrizia Petrucci +6 more

Papers

Driven by 2 papers — median percentile 87. Top paper: Profiling metabolites and lipoproteins in COMETA, an Italian cohort of COVID-19 patients.

Top 13%49 citations

Gaia Meoni, Lorenzo Pelagatti, Tommaso Celli, Francesca Veneziani, Fabrizia Petrucci +6 more

14 citations

Walter Vieri, Tommaso Celli, Valentina Pecchioli, Nunzia Boccia, Tania Alonso-Vásquez +8 more