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

Olaf Ronneberger

University of Freiburg

ORCID: 0000-0002-4266-1515

Also affiliated with Google DeepMind (United Kingdom), Google (United Kingdom)

Biochemistry, Genetics and Molecular BiologyComputer Science

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
6.9Author 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 Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9
Top 3%
6.9DataRank
Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

Papers

Driven by 6 papers — median percentile 97. Top paper: “The Medical Segmentation Decathlon”.

The Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9
Top 3%
6.9DataRank
Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

U-Net: Convolutional Networks for Biomedical Image Segmentation

Lecture Notes in Computer Science(2015)10.1007/978-3-319-24574-4_28
N/A
1.7DataRank · unranked
86331 citations

Philipp Fischer, Thomas Brox, Olaf Ronneberger

Highly accurate protein structure prediction with AlphaFold

Nature(2021)10.1038/s41586-021-03819-2
N/A
1.6DataRank · unranked
43672 citations

Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool +31 more

Accurate structure prediction of biomolecular interactions with AlphaFold 3

Nature(2024)10.1038/s41586-024-07487-w
N/A
1.4DataRank · unranked
12361 citations

Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel +44 more

Applying and improving AlphaFold at CASP14

Proteins: Structure, Function, and Bioinformatics(2021)10.1002/prot.26257
N/A
0.905DataRank · unranked
416 citations

Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger +28 more

Deep learning is widely applicable to phenotyping embryonic development and disease

Development(2021)10.1242/dev.199664
N/A
0DataRank · unranked
39 citations

Özgün Çiçek, Paulina Ogar, Max Bürgi, Nikko‐Ideen Shaidani, Michael M. Kaminski +14 more