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

Filipe Menezes

Helmholtz Zentrum München

ORCID: 0000-0002-7630-5447

Also affiliated with Target (Germany), Technical University of Munich

Computer ScienceMaterials ScienceBiochemistry, Genetics and Molecular BiologyPhysics 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 2%percentile
2.7Author 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 3 papers — median percentile 81. 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

MISATO - Machine learning dataset of protein-ligand complexes for structure-based drug discovery

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.24.542082
Top 19%
1.1DataRank
Top 19%23 citations

Filipe Menezes, Sabrina Benassou, Stefan Kesselheim, Marie Piraud, Fabian Joachim Theis +4 more

MISATO - Machine learning dataset for structure-based drug discovery

Zenodo (CERN European Organization for Nuclear Research)(2023)10.5281/zenodo.7711953
Top 78%
0.104DataRank
Top 78%1 citations

Filipe Menezes, Sabrina Benassou, Erinç Merdivan, Stefan Kesselheim, Marie Piraud +4 more