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

Sergei Rybakov

University of Alaska Fairbanks

ORCID: 0000-0002-4944-6586

Also affiliated with Helmholtz Zentrum München, Technical University of Munich

Biochemistry, Genetics and Molecular BiologyEarth and Planetary Sciences

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
8.5Author 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 8 papers — median percentile 95. Top paper: “The scverse project provides a computational ecosystem for single-cell omics data analysis”.

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

anndata: Access and store annotated data matrices

Journal of Open Source Software(2024)10.21105/joss.04371
Top 7%
3.1DataRank
Top 7%203 citations

Sergei Rybakov, Fabian Joachim Theis, Philipp Angerer, Francesca Finotello, Valeh Valiollah Pour Amiri

Squidpy: a scalable framework for spatial single cell analysis

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.02.19.431994
N/A
3.0DataRank · unranked
71 citations

Hannah Spitzer, Michal Klein, David S. Fischer, Anna Christina Schaar, Louis Benedikt Kuemmerle +8 more

Learning interpretable latent autoencoder representations with annotations of feature sets

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.02.401182
N/A
1.2DataRank · unranked
24 citations

Mohammad Lotfollahi, Fabian Joachim Theis, Francesca Finotello, Sergei Rybakov

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

anndata: Annotated data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.12.16.473007
N/A
0.859DataRank · unranked
306 citations

Sergei Rybakov, Fabian Joachim Theis, Philipp Angerer, Francesca Finotello, Valeh Valiollah Pour Amiri

Mapping cells to gene programs

Research Square(2023)10.21203/rs.3.pex-2092/v1
N/A
0.104DataRank · unranked
1 citations

Sergei Rybakov, Karin Hrovatin, Soroor Hediyeh-zadeh, Alexander V. Misharin, Fabian Joachim Theis +2 more

Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation

arXiv (Cornell University)(2025)10.48550/arxiv.2507.11789
N/A
0DataRank · unranked
0 citations

Sergei Rybakov, Leon Hetzel, Stephan Günnemann, Fabian Joachim Theis, Alessandro Palma