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

Claudio Cerchione

Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori

ORCID: 0000-0002-9104-5436

Also affiliated with Federico II University Hospital, Instituto de Biomedicina de Sevilla, Istituti di Ricovero e Cura a Carattere Scientifico, Universidad de Sevilla

MedicineBiochemistry, Genetics and Molecular Biology

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
5.7Author 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.

A large-scale database of T-cell receptor beta (TCRβ) sequences and binding associations from natural and synthetic exposure to SARS-CoV-2.

Research Square(2020)10.21203/rs.3.rs-51964/v1
Top 5%
4.7DataRank
Top 5%166 citations

Marissa Vignali, Mark Klinger, Jennifer N. Dines, Ian M. Kaplan, Emily Svejnoha +22 more

Papers

Driven by 3 papers — median percentile 88. Top paper: “A large-scale database of T-cell receptor beta (TCRβ) sequences and binding associations from natural and synthetic exposure to SARS-CoV-2.”.

A large-scale database of T-cell receptor beta (TCRβ) sequences and binding associations from natural and synthetic exposure to SARS-CoV-2.

Research Square(2020)10.21203/rs.3.rs-51964/v1
Top 5%
4.7DataRank
Top 5%166 citations

Marissa Vignali, Mark Klinger, Jennifer N. Dines, Ian M. Kaplan, Emily Svejnoha +22 more

A large-scale database of T-cell receptor beta sequences and binding associations from natural and synthetic exposure to SARS-CoV-2

Frontiers in Immunology(2025)10.3389/fimmu.2025.1488851
Top 20%
1.0DataRank
Top 20%45 citations

Marissa Vignali, Mark Klinger, Jennifer N. Dines, Ian M. Kaplan, Emily Svejnoha +24 more

Targeting DNA2 Overcomes Metabolic Reprogramming in Multiple Myeloma

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.22.529457
N/A
0DataRank · unranked
1 citations

Feiyang Ma, Pamela Lockyer, Natalia Baran, Jintan Liu, C. Ellen Jackson +27 more