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

Annette Kopp‐Schneider

German Cancer Research Center

ORCID: 0000-0002-1810-0267

Also affiliated with Heidelberg University, DKFZ-ZMBH Alliance

MathematicsMedicineBiochemistry, 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 1%percentile
6.9Author DataRank

Indexed papers

1in 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 1 indexed paper 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 7 papers — median percentile 97. Top paper: “Metrics reloaded: recommendations for image analysis validation”.

Metrics reloaded: recommendations for image analysis validation

Nature Methods(2024)10.1038/s41592-023-02151-z
N/A
9.2DataRank · unranked
411 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +68 more

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

Understanding metric-related pitfalls in image analysis validation

Nature Methods(2024)10.1038/s41592-023-02150-0
N/A
0.783DataRank · unranked
184 citations

Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur +65 more

Bovine meat and milk factor protein expression in tumor‐free mucosa of colorectal cancer patients coincides with macrophages and might interfere with patient survival

Molecular Oncology(2023)10.1002/1878-0261.13390
N/A
0DataRank · unranked
10 citations

Amelie Burk‐Körner, Manuel Wiesenfarth, Elizabeth Alwers, Danijela Heide, Claudia Tessmer +13 more

Metrics reloaded: Recommendations for image analysis validation

arXiv (Cornell University)(2022)10.48550/arxiv.2206.01653
N/A
0DataRank · unranked
62 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +69 more

Common Limitations of Image Processing Metrics: A Picture Story

arXiv (Cornell University)(2021)10.48550/arxiv.2104.05642
N/A
0DataRank · unranked
87 citations

Minu D. Tizabi, Carole H. Sudre, Matthias Eisenmann, Tim Rädsch, Baumgartner, Michael +88 more

BIAS: Transparent reporting of biomedical image analysis challenges

Medical Image Analysis(2020)10.1016/j.media.2020.101796
N/A
0DataRank · unranked
9 citations

Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann +9 more