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

Adam Gayoso

Google (United States)

ORCID: 0000-0001-9537-0845

Also affiliated with Google DeepMind (United Kingdom), Google (United Kingdom), University of California, Berkeley

Biochemistry, 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
10.7Author 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.

The scverse project provides a computational ecosystem for single-cell omics data analysis

Nature Biotechnology(2023)10.1038/s41587-023-01733-8
Top 4%
5.4DataRank
Top 4%353 citations

Danila Bredikhin, Lukas Heumos, Giovanni Palla, Gregor Sturm, Adam Gayoso +29 more

Papers

Driven by 11 papers — median percentile 96. Top paper: “A Python library for probabilistic analysis of single-cell omics data”.

A Python library for probabilistic analysis of single-cell omics data

Nature Biotechnology(2022)10.1038/s41587-021-01206-w
N/A
9.4DataRank · unranked
825 citations

Romain Lopez, Galen Xing, Pierre Boyeau, Valeh Valiollah Pour Amiri, Justin Hong +24 more

The scverse project provides a computational ecosystem for single-cell omics data analysis

Nature Biotechnology(2023)10.1038/s41587-023-01733-8
Top 4%
5.4DataRank
Top 4%353 citations

Danila Bredikhin, Lukas Heumos, Giovanni Palla, Gregor Sturm, Adam Gayoso +29 more

The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans

Science(2022)10.1126/science.abl4896
Top 4%
5.3DataRank
Top 4%1018 citations

Robert C. Jones, Jim Karkanias, Naftali Kaminski, Angela Oliveira Pisco, Stephen R. Quake +181 more

Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells

Nature Methods(2023)10.1038/s41592-023-01994-w
N/A
2.3DataRank · unranked
123 citations

Herbert B. Schiller, Mohammad Lotfollahi, Dominik Klein, Michal Klein, Aaron Streets +3 more

scvi-tools: a library for deep probabilistic analysis of single-cell omics data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.28.441833
N/A
2.3DataRank · unranked
72 citations

Romain Lopez, Galen Xing, Pierre Boyeau, Katherine Wu, Michael Jayasuriya +20 more

Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.12.503709
N/A
1.4DataRank · unranked
33 citations

Herbert B. Schiller, Mohammad Lotfollahi, Dominik Klein, Michal Klein, Aaron Streets +3 more

Mapping single-cell data to reference atlases by transfer learning

Nature Biotechnology(2021)10.1038/s41587-021-01001-7
N/A
0.962DataRank · unranked
610 citations

Mohsen Naghipourfar, Malte D. Luecken, Matin Khajavi, Maren Büttner, Marco Wagenstetter +9 more

Defining and benchmarking open problems in single-cell analysis

Nature Biotechnology(2025)10.1038/s41587-025-02694-w
N/A
0.937DataRank · unranked
29 citations

Scott Gigante, Daniel B. Burkhardt, Robrecht Cannoodt, Nikolay S. Markov, Luke Zappia +48 more

Defining and benchmarking open problems in single-cell analysis

Research Square(2024)10.21203/rs.3.rs-4181617/v1
N/A
0.603DataRank · unranked
17 citations

Scott Gigante, Daniel B. Burkhardt, Robrecht Cannoodt, Daniel Strobl, Nikolay S. Markov +45 more

Joint probabilistic modeling of paired transcriptome and proteome measurements in single cells

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.08.083337
N/A
0DataRank · unranked
13 citations

Zoë Steier, Romain Lopez, Jeffrey Regier, Kristopher L. Nazor, Aaron Streets +2 more

Interpretable factor models of single-cell RNA-seq via variational autoencoders

Bioinformatics(2020)10.1093/bioinformatics/btaa169
N/A
0DataRank · unranked
221 citations

Adam Gayoso, Nir Yosef, Lior Pachter, Valentine Svensson