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

Giorgio Valentini

University of Milan

ORCID: 0000-0002-5694-3919

Also affiliated with Intelligent Systems Research (United States)

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.

Top 2%percentile
2.2Author DataRank

Indexed papers

3in 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 3 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.

An open source knowledge graph ecosystem for the life sciences

Scientific Data(2024)10.1038/s41597-024-03171-w
Top 15%
1.4DataRank
Top 15%63 citations

Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya B. Taneja, Jordan M Wyrwa +27 more

Papers

Driven by 30 papers — median percentile 70. Top paper: “An open source knowledge graph ecosystem for the life sciences”.

An open source knowledge graph ecosystem for the life sciences

Scientific Data(2024)10.1038/s41597-024-03171-w
Top 15%
1.4DataRank
Top 15%63 citations

Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya B. Taneja, Jordan M Wyrwa +27 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

Metformin is associated with reduced COVID-19 severity in patients with prediabetes

Diabetes Research and Clinical Practice(2022)10.1016/j.diabres.2022.110157
Top 30%
0.662DataRank
Top 30%21 citations

Elena Casiraghi, Bryan Laraway, Ben D Coleman, Hannah Blau, Adnin Zaman +11 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
0.520DataRank · unranked
31 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

Association of post-COVID phenotypic manifestations with new-onset psychiatric disease

Translational Psychiatry(2024)10.1038/s41398-024-02967-z
N/A
0.269DataRank · unranked
5 citations

Elena Casiraghi, Tiffany J. Callahan, Hannah Blau, Lauren E Chan, Bryan Laraway +10 more

Leveraging Generative AI to Accelerate Biocuration of Medical Actions for Rare Disease

medRxiv(2024)10.1101/2024.08.22.24310814
N/A
0.208DataRank · unranked
3 citations

J. Harry Caufield, Leigh C Carmody, Michael Gargano, Sabrina Toro, Trish Whetzel +10 more

An Open-Source Knowledge Graph Ecosystem for the Life Sciences

Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)(2023)10.48550/arxiv.2307.05727
Top 78%
0.104DataRank
Top 78%1 citations

Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya B. Taneja, Jordan M Wyrwa +27 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

Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests

medRxiv(2023)10.1101/2023.07.14.23292679
N/A
0.104DataRank · unranked
1 citations

Elena Casiraghi, Tim Putman, Justin T Reese, Quaker E. Harmon, Kevin Schaper +9 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

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104295
N/A
0DataRank · unranked
23 citations

Rachel Wong, Margaret Hall, Ben D Coleman, Marco Notaro, Michael D. Evans +18 more

Leveraging generative AI to assist biocuration of medical actions for rare disease

Bioinformatics Advances(2024)10.1093/bioadv/vbaf141
N/A
0DataRank · unranked
3 citations

J. Harry Caufield, Leigh C Carmody, Michael Gargano, Sabrina Toro, Patricia L. Whetzel +10 more

Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests

International Journal of Medical Informatics(2024)10.1016/j.ijmedinf.2024.105461
N/A
0DataRank · unranked
5 citations

Elena Casiraghi, Justin T Reese, Quaker E. Harmon, Kevin Schaper, Harshad Hegde +8 more

Systematic benchmarking demonstrates large language models have not reached the diagnostic accuracy of traditional rare-disease decision support tools

medRxiv(2024)10.1101/2024.07.22.24310816
N/A
0DataRank · unranked
9 citations

Leonardo Chimirri, Yasemin Bridges, Daniel Daniš, J. Harry Caufield, Michael Gargano +16 more

Replacing non-biomedical concepts improves embedding of biomedical concepts

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.07.01.601556
N/A
0DataRank · unranked
0 citations

Mauricio Soto, Elena Casiraghi, Stephan Antogiovanni, Hannah Blau, Justin T Reese +3 more

Association of post-COVID phenotypic manifestations with new-onset psychiatric disease

UNC Libraries(2024)10.17615/bn8v-t235
N/A
0DataRank · unranked
0 citations

Ben D Coleman, Callahan T.J., Wilkins K.J., B. Laraway, Haendel M.A. +10 more

parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants

GigaScience(2020)10.1093/gigascience/giaa052
N/A
0DataRank · unranked
15 citations

Marco Mesiti, Max Schubach, Marco Frasca, Daniel Daniš, Matteo Ré +6 more

Replacing non-biomedical concepts improves embedding of biomedical concepts

PLoS ONE(2025)10.1371/journal.pone.0322498
N/A
0DataRank · unranked
0 citations

Mauricio Soto, Elena Casiraghi, Stephan Antogiovanni, Hannah Blau, Justin T Reese +3 more

parSMURF , a High Performance Computing tool for the genome-wide detection of pathogenic variants

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.03.18.994079
N/A
0DataRank · unranked
1 citations

Marco Mesiti, Max Schubach, Marco Frasca, Daniel Daniš, Matteo Ré +6 more

Interpretable prioritization of splice variants in diagnostic next-generation sequencing

The American Journal of Human Genetics(2021)10.1016/j.ajhg.2021.06.014
N/A
0DataRank · unranked
67 citations

Julius O.B. Jacobsen, Leigh C Carmody, Michael Gargano, Julie A. McMurry, Ayushi Hegde +5 more

Interpretable prioritization of splice variants in diagnostic next-generation sequencing

The American Journal of Human Genetics(2021)10.1016/j.ajhg.2021.09.014
N/A
0DataRank · unranked
15 citations

Julius O.B. Jacobsen, Leigh C Carmody, Michael Gargano, Julie A. McMurry, Ayushi Hegde +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

Heterogeneous data integration methods for patient similarity networks

Briefings in Bioinformatics(2022)10.1093/bib/bbac207
N/A
0DataRank · unranked
39 citations

Marco Mesiti, Marco Notaro, Alessandro Petrini, Alex Patak, Antonio Puertas Gallardo +4 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

Metformin is Associated with Reduced COVID-19 Severity in Patients with Prediabetes

medRxiv(2022)10.1101/2022.08.29.22279355
N/A
0DataRank · unranked
1 citations

Elena Casiraghi, Bryan Laraway, Ben D Coleman, Hannah Blau, Adnin Zaman +10 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

Predictive models of long COVID

EBioMedicine(2023)10.1016/j.ebiom.2023.104777
N/A
0DataRank · unranked
37 citations

Hannah Blau, Elena Casiraghi, Johanna J. Loomba, Tiffany J. Callahan, Bryan Laraway +9 more