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

Olle G. Holmberg

Center for Environmental Health

ORCID: 0000-0001-5558-7628

Also affiliated with Helmholtz Zentrum München, Technical University of Munich

MedicineSocial SciencesHealth ProfessionsBiochemistry, 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

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.

Self-supervised retinal thickness prediction enables deep learning from unlabeled data to boost classification of diabetic retinopathy

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3626854
Top 100%
0DataRank
Top 100%0 citations

Niklas D. Köhler, Thiago Gonçalves dos Santos Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel +6 more

Papers

Driven by 10 papers — median percentile 0. Top paper: “Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy”.

Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy

Nature Machine Intelligence(2020)10.1038/s42256-020-00247-1
N/A
3.5DataRank · unranked
87 citations

Niklas D. Köhler, Jakob Siedlecki, Tina Herold, Leonie Keidel, Ben Asani +6 more

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

Sfaira accelerates data and model reuse in single cell genomics

Genome Biology(2021)10.1186/s13059-021-02452-6
N/A
1.1DataRank · unranked
34 citations

Leander Dony, Martin König, Abdul Moeed, Luke Zappia, Lukas Heumos +5 more

Noise Transfer for Unsupervised Domain Adaptation of Retinal OCT Images

Lecture Notes in Computer Science(2022)10.1007/978-3-031-16434-7_67
N/A
0.718DataRank · unranked
16 citations

Olle G. Holmberg, Hannah Spitzer, Johannes B Schiefelbein, Ben Asani, Michael Hafner +3 more

Sfaira accelerates data and model reuse in single cell genomics

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.16.419036
N/A
0.522DataRank · unranked
10 citations

Leander Dony, Martin König, Abdul Moeed, Luke Zappia, Sophie Tritschler +4 more

Evaluation of OCT biomarker changes in treatment-naive neovascular AMD using a deep semantic segmentation algorithm

medRxiv(2022)10.1101/2022.06.16.22276342
N/A
0.264DataRank · unranked
4 citations

Olle G. Holmberg, Johannes B Schiefelbein, Michael Hafner, Tina Herold, Hannah Spitzer +8 more

Self-supervised retinal thickness prediction enables deep learning from unlabeled data to boost classification of diabetic retinopathy

bioRxiv (Cold Spring Harbor Laboratory)(2019)10.1101/861757
N/A
0.165DataRank · unranked
2 citations

Niklas D. Köhler, Thiago Gonçalves dos Santos Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel +6 more

Self-supervised retinal thickness prediction enables deep learning from unlabeled data to boost classification of diabetic retinopathy

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3626854
Top 100%
0DataRank
Top 100%0 citations

Niklas D. Köhler, Thiago Gonçalves dos Santos Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel +6 more

Self-supervised retinal thickness prediction enables deep learning from unlabeled data to boost classification of diabetic retinopathy

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3625995
Top 100%
0DataRank
Top 100%0 citations

Niklas D. Köhler, Thiago Gonçalves dos Santos Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel +6 more

Self-supervised retinal thickness prediction enables deep learning from unlabeled data to boost classification of diabetic retinopathy

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3626020
Top 100%
0DataRank
Top 100%0 citations

Niklas D. Köhler, Thiago Gonçalves dos Santos Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel +6 more