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

Fabian Bamberg

University of Freiburg

ORCID: 0000-0002-7460-3942

Also affiliated with University Medical Center Freiburg

MedicineEngineering

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
7.3Author 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.

Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

Journal of Cardiovascular Magnetic Resonance(2013)10.1186/1532-429x-15-46
Top 2%
7.3DataRank
Top 2%274 citations

Paul M. Matthews, Fabian Bamberg, David A. Bluemke, Jane M Francis, Matthias G. Friedrich +12 more

Papers

Driven by 7 papers — median percentile 98. Top paper: “Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches”.

Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

Journal of Cardiovascular Magnetic Resonance(2013)10.1186/1532-429x-15-46
Top 2%
7.3DataRank
Top 2%274 citations

Paul M. Matthews, Fabian Bamberg, David A. Bluemke, Jane M Francis, Matthias G. Friedrich +12 more

Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease

JACC. Cardiovascular imaging(2021)10.1016/j.jcmg.2021.07.021
N/A
2.4DataRank · unranked
101 citations

Tobias Geisler, Mariusz Kruk, Hatem Alkadhi, Kakuya Kitagawa, Rozemarijn Vliegenthart +19 more

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation

arXiv (Cornell University)(2022)10.48550/arxiv.2205.11096
N/A
0.852DataRank · unranked
16 citations

Annette Peters, Christopher L. Schlett, Fabian Bamberg, Fabian Joachim Theis, Daniel Rueckert +3 more

Analysis of volume and topography of adipose tissue in the trunk: Results of MRI of 11,141 participants in the German National Cohort

Science Advances(2023)10.1126/sciadv.add0433
N/A
0.416DataRank · unranked
15 citations

Fritz Schick, Norbert Stefan, Christopher L. Schlett, Jakob B. Weiss, Johanna Nattenmüller +19 more

Intermuscular adipose tissue and lean muscle mass assessed with MRI in people with chronic back pain in Germany: a retrospective observational study

The Lancet Regional Health - Europe(2025)10.1016/j.lanepe.2025.101323
N/A
0.208DataRank · unranked
3 citations

Hartmut Häntze, Christian Mertens, Felix Busch, Tristan Lemke, Jakob Nikolas Kather +22 more

Associations of Metabolic Phenotypes with Cardiac Structure and Clinical Outcomes: Insights from the UK Biobank

The Journal of Clinical Endocrinology & Metabolism(2026)10.1210/clinem/dgaf684
N/A
0.104DataRank · unranked
1 citations

Matthias Jung, Marco Reisert, Juliane Maushagen, Susanne Rospleszcz, Janis M Nolde +6 more

Genetic screens of imaging-derived kidney volumes identify genes linked to kidney function

Kidney International(2025)10.1016/j.kint.2025.08.038
N/A
0DataRank · unranked
3 citations

Yong Li, Oleg Borisov, Atlas Khan, Wilfried Reichardt, Stefan Haug +10 more