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

Tommaso Fontana

Azienda USL di Bologna

ORCID: 0000-0002-9806-3493
Computer ScienceBiochemistry, Genetics and Molecular BiologyMedicinePhysics and Astronomy

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 1%percentile
4.8Author DataRank

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 →

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.

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response

Patterns(2020)10.1016/j.patter.2020.100155
Top 7%
3.3DataRank
Top 7%95 citations

Deepak R Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon +13 more

Papers

Driven by 12 papers — median percentile 90. Top paper: “KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response”.

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response

Patterns(2020)10.1016/j.patter.2020.100155
Top 7%
3.3DataRank
Top 7%95 citations

Deepak R Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon +13 more

The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species

Nucleic Acids Research(2023)10.1093/nar/gkad1082
Top 14%
1.5DataRank
Top 14%106 citations

Kevin Schaper, Nicolas A Matentzoglu, Vincent Rubinetti, Faisal Alquaddoomi, Corey Cox +39 more

NSAID use and clinical outcomes in COVID-19 patients: A 38-center retrospective cohort study

medRxiv(2021)10.1101/2021.04.13.21255438
N/A
1.0DataRank · unranked
18 citations

Ben D Coleman, Lauren E Chan, Hannah Blau, Tiffany J. Callahan, Luca Cappelletti +18 more

Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning

Bioinformatics Advances(2024)10.1093/bioadv/vbae036
N/A
0.330DataRank · unranked
8 citations

Lauren Rekerle, Tommaso Fontana, Peter Hansen, Elena Casiraghi, Vida Ravanmehr +12 more

Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer

NAR Genomics and Bioinformatics(2021)10.1093/nargab/lqab113
N/A
0.312DataRank · unranked
7 citations

Hannah Blau, Luca Cappelletti, Tommaso Fontana, Leigh C Carmody, Ben D Coleman +13 more

Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.11.447943
N/A
0.104DataRank · unranked
1 citations

Hannah Blau, Luca Cappelletti, Tommaso Fontana, Leigh C Carmody, Ben D Coleman +12 more

Generalizable Long COVID Subtypes: Findings from the NIH N3C and RECOVER Programs

medRxiv(2022)10.1101/2022.05.24.22275398
N/A
0DataRank · unranked
32 citations

Hannah Blau, Timothy Bergquist, Johanna J. Loomba, Tiffany J. Callahan, Bryan Laraway +25 more

GraPE: fast and scalable Graph Processing and Embedding

Research Square(2022)10.21203/rs.3.rs-967145/v1
N/A
0DataRank · unranked
5 citations

Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Marcin P. Joachimiak +5 more

Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes

EBioMedicine(2022)10.1016/j.ebiom.2022.104413
N/A
0DataRank · unranked
180 citations

Hannah Blau, Elena Casiraghi, Timothy Bergquist, Johanna J. Loomba, Tiffany J. Callahan +39 more

GRAPE for fast and scalable graph processing and random-walk-based embedding

Nature Computational Science(2023)10.1038/s43588-023-00465-8
N/A
0DataRank · unranked
32 citations

Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Carlos Cano +6 more

Node-degree aware edge sampling mitigates inflated classification performance in biomedical graph representation learning

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.21.517376
N/A
0DataRank · unranked
1 citations

Lauren Rekerle, Tommaso Fontana, Peter Hansen, Elena Casiraghi, Vida Ravanmehr +12 more

NSAID use and clinical outcomes in COVID-19 patients: a 38-center retrospective cohort study

Virology Journal(2022)10.1186/s12985-022-01813-2
N/A
0DataRank · unranked
31 citations

Ben D Coleman, Lauren E Chan, Hannah Blau, Tiffany J. Callahan, Luca Cappelletti +18 more