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

Johannes Ostner

Helmholtz Zentrum München

ORCID: 0000-0002-6448-9437

Also affiliated with Ludwig-Maximilians-Universität München

Biochemistry, Genetics and Molecular BiologyMedicine

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

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.

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

Papers

Driven by 6 papers — median percentile 0. Top paper: “scCODA: A Bayesian model for compositional single-cell data analysis”.

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

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

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

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