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

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 4%percentile
0.689Author 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 29%18 citations

Cristina Moglia, Antonio Canosa, Umberto Manera, Maurizio Grassano, Rosario Vasta +16 more

Papers

Driven by 6 papers — median percentile 71. Top paper: Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study.

62 citations

Fabian Brunn, Anant Dadu, Adriano Chiò, Andrea Calvo, Cristina Moglia +82 more

Top 29%18 citations

Cristina Moglia, Antonio Canosa, Umberto Manera, Maurizio Grassano, Rosario Vasta +16 more

N/A
0DataRank · unranked
5 citations

Maurizio Grassano, Cristina Moglia, Barbara Iazzolino, Laura Peotta, Salvatore Gallone +14 more

32 citations

Giorgia Brodini, Giovanni De Marco, Federico Casale, Giuseppe Fuda, Paolina Salamone +13 more

13 citations

Cristina Moglia, Antonio Canosa, Umberto Manera, Maurizio Grassano, Rosario Vasta +16 more

N/A
0DataRank · unranked
3 citations

Antonio Canosa, Sandra D'Alfonso, Lucia Corrado, Giorgia Brodini, Emanuele Koumantakis +17 more