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

Píetro Lió

University of Cambridge

ORCID: 0000-0002-0540-5053
Biochemistry, Genetics and Molecular BiologyPhysics and AstronomyMaterials 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
2.5Author 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.

MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery

Nature Computational Science(2024)10.1038/s43588-024-00627-2
Top 13%
1.5DataRank
Top 13%68 citations

Filipe Menezes, Sabrina Benassou, Kieran Didi, André Santos Dias Mourão, Radosław Kitel +10 more

Papers

Driven by 13 papers — median percentile 65. Top paper: “MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery”.

MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery

Nature Computational Science(2024)10.1038/s43588-024-00627-2
Top 13%
1.5DataRank
Top 13%68 citations

Filipe Menezes, Sabrina Benassou, Kieran Didi, André Santos Dias Mourão, Radosław Kitel +10 more

Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits

npj Systems Biology and Applications(2021)10.1038/s41540-021-00186-6
Top 35%
0.563DataRank
Top 35%14 citations

Giovanna Maria Dimitri, Píetro Lió, Eric R. Gamazon, Tiago Azevedo

Evaluating representation learning on the protein structure universe

PubMed(2024)10.48550/arxiv.2406.13864
Top 43%
0.435DataRank
Top 43%6 citations

Alex Morehead, Chaitanya K Joshi, Zuobai Zhang, Kieran Didi, Simon V. Mathis +6 more

Deep Learning Enables Fast and Accurate Imputation of Gene Expression

Frontiers in Genetics(2021)10.3389/fgene.2021.624128
N/A
0DataRank · unranked
18 citations

Tiago Azevedo, Eric R. Gamazon, Píetro Lió, Ramon Viñas

Multilayer modelling and analysis of the human transcriptome

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.21.109082
N/A
0DataRank · unranked
0 citations

Giovanna Maria Dimitri, Píetro Lió, Eric R. Gamazon, Tiago Azevedo

Identifying healthy individuals with Alzheimer neuroimaging phenotypes in the UK Biobank

medRxiv(2022)10.1101/2022.01.05.22268795
N/A
0DataRank · unranked
3 citations

Richard A. I. Bethlehem, David J. Whiteside, Nol Swaddiwudhipong, James B. Rowe, Píetro Lió +2 more

Hypergraph factorisation for multi-tissue gene expression imputation

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.31.502211
N/A
0DataRank · unranked
1 citations

Chaitanya K. Joshi, Dobrik Georgiev, Bianca Dumitrascu, Eric R. Gamazon, Píetro Lió +1 more

Hypergraph factorization for multi-tissue gene expression imputation

Nature Machine Intelligence(2023)10.1038/s42256-023-00684-8
N/A
0DataRank · unranked
30 citations

Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Eric R. Gamazon +2 more

Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank

Communications Medicine(2023)10.1038/s43856-023-00313-w
N/A
0DataRank · unranked
15 citations

Richard A. I. Bethlehem, David J. Whiteside, Nol Swaddiwudhipong, James B. Rowe, Píetro Lió +95 more

DBGDGM: Dynamic Brain Graph Deep Generative Model

arXiv (Cornell University)(2023)10.48550/arxiv.2301.11408
N/A
0DataRank · unranked
0 citations

S Spasov, Nicola Toschi, Píetro Lió, Alexander B. Campbell

gRNAde: Geometric Deep Learning for 3D RNA inverse design

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.31.587283
N/A
0DataRank · unranked
21 citations

Arian R. Jamasb, Ramón Viñas, Charles B. Harris, Simon V. Mathis, Alex Morehead +3 more

Position: Topological Deep Learning is the New Frontier for Relational Learning

arXiv (Cornell University)(2024)10.48550/arxiv.2402.08871
N/A
0DataRank · unranked
5 citations

Tolga Birdal, Michael M. Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao +17 more

Gene Expression Imputation with Generative Adversarial Imputation Nets

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.09.141689
N/A
0DataRank · unranked
4 citations

Tiago Azevedo, Eric R. Gamazon, Píetro Lió, Ramon Viñas