Jan Clusmann

Also affiliated with Heidelberg University, University Hospital Heidelberg, Fresenius (Germany), University Hospital Carl Gustav Carus, Else Kröner Fresenius Center for Digital Health, Technische Universität Dresden, RWTH Aachen University

MedicineComputer ScienceHealth Professions

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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 12 papers. Top paper: “Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024”.

Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024

JHEP Reports(2024)10.1016/j.jhepr.2024.101209

N/A

0.853DataRank · unranked

29 citations

Thomas Sorz, Jan Clusmann, Jakob Nikolas Kather, Laura Žigutytė

Machine learning uncovers manganese as a key nutrient associated with reduced risk of steatotic liver disease

Liver International(2024)10.1111/liv.16055

N/A

0.588DataRank · unranked

12 citations

Kate Townsend Creasy, Paul‐Henry Koop, Jan Clusmann, Julius Jaeger, Varnitha Punnuru +7 more

The barriers to uptake of artificial intelligence in hepatology and how to overcome them

Journal of Hepatology(2025)10.1016/j.jhep.2025.07.003

N/A

0.449DataRank · unranked

19 citations

Maria Balaguer‐Montero, Octavi Bassegoda, Carolin V. Schneider, Tobias Paul Seraphin, Ellis Kobina Paintsil +11 more

End-To-End Clinical Trial Matching with Large Language Models

arXiv (Cornell University)(2024)10.48550/arxiv.2407.13463

N/A

0.396DataRank · unranked

13 citations

Lars Hilgers, Isabella C. Wiest, Marie-Elisabeth Leßmann, Jan Clusmann, Peter Neidlinger +11 more

Deep learning can predict cardiovascular events from liver imaging

JHEP Reports(2025)10.1016/j.jhepr.2025.101427

N/A

0.312DataRank · unranked

7 citations

Tim Lenz, Didem Çifçi, Marko van Treeck, Jan Clusmann, Yazhou Chen +7 more

Prompt injection attacks on vision-language models for surgical decision support

medRxiv(2025)10.1101/2025.07.16.25331645

N/A

0.104DataRank · unranked

1 citations

Muhammad Ibtsaam Qadir, Matthias Carstens, Enshang Zhang, Madison Sarah Loiselle, Farren Marc Martinus +5 more

The Lipidomic Profile Discriminates Between MASLD and MetALD

Alimentary Pharmacology & Therapeutics(2025)10.1111/apt.70012

N/A

0DataRank · unranked

12 citations

Feng Cao, Helen Huang, Lanlan Chen, Yazhou Chen, Rongpeng Gong +11 more

Deep Learning Reveals Liver MRI Features Associated With PNPLA3 I148M in Steatotic Liver Disease

Liver International(2025)10.1111/liv.70164

N/A

0DataRank · unranked

7 citations

Benjamin P. M. Laevens, Teresa Lemainque, Gustav Müller‐Franzes, Tobias Seibel, Carola Dlugosch +22 more

Prompt Injection Attacks on Large Language Models in Oncology

arXiv (Cornell University)(2024)10.48550/arxiv.2407.18981

N/A

0DataRank · unranked

5 citations

Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch +3 more

280P Machine learning for multi-omics risk prediction of cholangiocarcinoma in the general population

ESMO Real World Data and Digital Oncology(2025)10.1016/j.esmorw.2025.100476

N/A

0DataRank · unranked

0 citations

Jan Clusmann, P-H. Koop, Richardria Goodson, Tobias Seibel, Niharika Jakhar +12 more

A pen mark is all you need - Incidental prompt injection attacks on Vision Language Models in real-life histopathology

medRxiv(2024)10.1101/2024.12.11.24318840

N/A

0DataRank · unranked

1 citations

Stefan Schulz, Dyke Ferber, Isabella C. Wiest, Aurélie Fernandez, Markus Eckstein +13 more

Prompt injection attacks on vision language models in oncology

Nature Communications(2025)10.1038/s41467-024-55631-x

N/A

0DataRank · unranked

40 citations

Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch +3 more