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

Benjamin Schubert

Helmholtz Zentrum München

ORCID: 0000-0003-3412-1102
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 100%percentile
0Author DataRank

Indexed papers

5in 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 5 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.

scCODA - benchmark data (Revision 2)

Zenodo (CERN European Organization for Nuclear Research)(2021)10.5281/zenodo.4305906
Top 100%
0DataRank
Top 100%0 citations

Maren Büttner, Christian L. Müller, Benjamin Schubert, Fabian Joachim Theis, Johannes Ostner

Papers

Driven by 15 papers — median percentile 0. Top paper: “Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-reactive T cells through ‘reverse phenotyping’”.

Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-reactive T cells through ‘reverse phenotyping’

Nature Communications(2021)10.1038/s41467-021-24730-4
N/A
1.1DataRank · unranked
40 citations

Meshal Ansari, Karolin I. Wagner, Sebastian Jarosch, Yiqi Huang, Christoph H. Mayr +28 more

scCODA: A Bayesian model for compositional single-cell data analysis

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.14.422688
N/A
1.0DataRank · unranked
16 citations

Johannes Ostner, Christian L. Müller, Fabian Joachim Theis, Benjamin Schubert, Maren Büttner

Best practices for single-cell analysis across modalities

Nature Reviews Genetics(2023)10.1038/s41576-023-00586-w
N/A
1.0DataRank · unranked
1013 citations

Anna Christina Schaar, Christopher Lance, Anastasia Litinetskaya, Felix Drost, Luke Zappia +34 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

scCODA is a Bayesian model for compositional single-cell data analysis

Nature Communications(2021)10.1038/s41467-021-27150-6
N/A
0.882DataRank · unranked
356 citations

Johannes Ostner, Christian L. Müller, Fabian Joachim Theis, Benjamin Schubert, Maren Büttner

Predicting antigen specificity of single T cells based on TCR CDR 3 regions

Molecular Systems Biology(2020)10.15252/msb.20199416
N/A
0.683DataRank · unranked
94 citations

Yihan Wu, Benjamin Schubert, Fabian Joachim Theis, David S. Fischer

Multi-omics regulatory network inference in the presence of missing data

Briefings in Bioinformatics(2023)10.1093/bib/bbad309
N/A
0.360DataRank · unranked
10 citations

Michael Lauber, Manuel Azevedo, Anastasiia Grekova, Markus List, Christoph Ogris +3 more

Predicting antigen-specificity of single T-cells based on TCR CDR3 regions

bioRxiv (Cold Spring Harbor Laboratory)(2019)10.1101/734053
N/A
0.269DataRank · unranked
5 citations

Yihan Wu, Benjamin Schubert, Fabian Joachim Theis, David S. Fischer

Single-cell RNA sequencing reveals in vivo signatures of SARS-CoV-2-reactive T cells through ‘reverse phenotyping’

medRxiv(2020)10.1101/2020.12.07.20245274
N/A
0.208DataRank · unranked
3 citations

Meshal Ansari, Sebastian Jarosch, Yiqi Huang, Christoph H. Mayr, Maximilian Strunz +28 more

Multi-omic Signatures Relate to the Severity of Pulmonary Outcome in Neonates Traced into Adult Disease

Network and Systems Medicine(2025)10.14293/nsm.25.1.0001
N/A
0.104DataRank · unranked
1 citations

Alida Kindt, Tanja Seegmüller, Kai Foerster, Andreas W. Flemmer, Juergen Behr +7 more

scCODA - benchmark data (Revision 2)

Zenodo (CERN European Organization for Nuclear Research)(2021)10.5281/zenodo.4305906
Top 100%
0DataRank
Top 100%0 citations

Maren Büttner, Christian L. Müller, Benjamin Schubert, Fabian Joachim Theis, Johannes Ostner

scCODA - benchmark data

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.4305907
Top 100%
0DataRank
Top 100%0 citations

Maren Büttner, Christian L. Müller, Benjamin Schubert, Fabian Joachim Theis, Johannes Ostner

mvTCR - trained models

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.8112246
Top 100%
0DataRank
Top 100%0 citations

Yang An, Irene Bonafonte-Pardàs, Lisa M. Dratva, Rik G.H. Lindeboom, Muzlifah Haniffa +5 more

mvTCR - trained models

Zenodo (CERN European Organization for Nuclear Research)(2024)10.5281/zenodo.7215446
Top 100%
0DataRank
Top 100%0 citations

Yang An, Irene Bonafonte-Pardàs, Lisa M. Dratva, Rik G.H. Lindeboom, Muzlifah Haniffa +5 more

scCODA - benchmark data (Revision 1)

Zenodo (CERN European Organization for Nuclear Research)(2021)10.5281/zenodo.5084440
Top 100%
0DataRank
Top 100%0 citations

Maren Büttner, Christian L. Müller, Benjamin Schubert, Fabian Joachim Theis, Johannes Ostner