Jan Clusmann

1.1k total citations · 2 hit papers
17 papers, 545 citations indexed

About

Jan Clusmann is a scholar working on Epidemiology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jan Clusmann has authored 17 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jan Clusmann's work include Liver Disease Diagnosis and Treatment (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jan Clusmann is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jan Clusmann collaborates with scholars based in Germany, United States and United Kingdom. Jan Clusmann's co-authors include Jakob Nikolas Kather, Fiona R. Kolbinger, Hannah Sophie Muti, Chiara Maria Lavinia Löffler, Jan‐Niklas Eckardt, Gregory Patrick Veldhuizen, Michaela Unger, Sophia J. Wagner, Narmin Ghaffari Laleh and Zunamys I. Carrero and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Hepatology.

In The Last Decade

Jan Clusmann

13 papers receiving 530 citations

Hit Papers

The future landscape of large language models in medicine 2023 2026 2024 2025 2023 2025 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The future landscape of large language models in medicine
    2023 472 citations Jan Clusmann, Fiona R. Kolbinger et al. SHILAP Revista de lepidopterología profile →
  2. Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology
    2025 18 citations Dyke Ferber, Omar S. M. El Nahhas et al. Nature Cancer profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Clusmann Germany 6 299 211 140 50 39 17 545
Michaela Unger Germany 4 291 1.0× 237 1.1× 173 1.2× 48 1.0× 34 0.9× 5 556
Chiara Maria Lavinia Löffler Germany 4 287 1.0× 209 1.0× 159 1.1× 39 0.8× 34 0.9× 7 514
Sophia J. Wagner Germany 6 290 1.0× 238 1.1× 165 1.2× 42 0.8× 35 0.9× 10 543
Hannah Sophie Muti Germany 9 297 1.0× 267 1.3× 223 1.6× 59 1.2× 35 0.9× 15 647
Jesutofunmi A. Omiye United States 10 226 0.8× 185 0.9× 118 0.8× 36 0.7× 57 1.5× 17 598
Ali Soroush United States 12 289 1.0× 228 1.1× 131 0.9× 85 1.7× 43 1.1× 29 662
Jasmine Chiat Ling Ong Singapore 13 243 0.8× 131 0.6× 103 0.7× 26 0.5× 39 1.0× 24 492
Jan‐Niklas Eckardt Germany 9 370 1.2× 331 1.6× 234 1.7× 88 1.8× 54 1.4× 21 810
Christian Bluethgen Switzerland 9 283 0.9× 265 1.3× 207 1.5× 53 1.1× 34 0.9× 11 566
Stephanie Teeple United States 5 228 0.8× 135 0.6× 108 0.8× 33 0.7× 37 0.9× 9 524

Countries citing papers authored by Jan Clusmann

Since Specialization
Citations

This map shows the geographic impact of Jan Clusmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Clusmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Clusmann more than expected).

Fields of papers citing papers by Jan Clusmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Clusmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Clusmann. The network helps show where Jan Clusmann may publish in the future.

Co-authorship network of co-authors of Jan Clusmann

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Clusmann. A scholar is included among the top collaborators of Jan Clusmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Clusmann. Jan Clusmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Clusmann, Jan, Stefan Schulz, Dyke Ferber, et al.. (2025). Incidental Prompt Injections on Vision–Language Models in Real-Life Histopathology. NEJM AI. 2(6). 3 indexed citations
2.
Veldhuizen, Gregory Patrick, Didem Çifçi, Marko van Treeck, et al.. (2025). Deep learning can predict cardiovascular events from liver imaging. JHEP Reports. 7(8). 101427–101427.
3.
Clusmann, Jan, Octavi Bassegoda, Carolin V. Schneider, et al.. (2025). The barriers to uptake of artificial intelligence in hepatology and how to overcome them. Journal of Hepatology. 83(6). 1410–1426. 3 indexed citations
4.
Schneider, Carolin V., Iakovos Amygdalos, Kai Markus Schneider, et al.. (2025). The Impact of Access to Clinical Guidelines on LLM‐Based Treatment Recommendations for Chronic Hepatitis B. Liver International. 45(10). e70324–e70324.
5.
Ferber, Dyke, Omar S. M. El Nahhas, Georg Wölflein, et al.. (2025). Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology. Nature Cancer. 6(8). 1337–1349. 18 indexed citations breakdown →
6.
Schneider, Kai Markus, Feng Cao, Helen Huang, et al.. (2025). The Lipidomic Profile Discriminates Between MASLD and MetALD. Alimentary Pharmacology & Therapeutics. 61(8). 1357–1371. 2 indexed citations
7.
Wiest, Isabella C., et al.. (2025). Large language models for clinical decision support in gastroenterology and hepatology. Nature Reviews Gastroenterology & Hepatology. 22(11). 773–787. 4 indexed citations
8.
Clusmann, Jan, Dyke Ferber, Isabella C. Wiest, et al.. (2025). Prompt injection attacks on vision language models in oncology. Nature Communications. 16(1). 1239–1239. 9 indexed citations
9.
Clusmann, Jan, Wenfang Gui, Christian Trautwein, et al.. (2024). Comorbidities, mortality and metabolic profile in individuals with primary biliary cholangitis—A Phenome‐Wide‐Association‐Study. Liver International. 44(8). 2038–2053. 2 indexed citations
10.
Creasy, Kate Townsend, Jan Clusmann, Alexander Koch, et al.. (2024). Machine learning uncovers manganese as a key nutrient associated with reduced risk of steatotic liver disease. Liver International. 44(10). 2807–2821. 7 indexed citations
11.
Clusmann, Jan, Fiona R. Kolbinger, Hannah Sophie Muti, et al.. (2024). Die kommende Entwicklung großer Sprachmodelle in der Medizin. 11(1). 3–10.
12.
Engel, Bastian, David N. Assis, Mamatha Bhat, et al.. (2024). Quo vadis autoimmune hepatitis? - Summary of the 5th international autoimmune hepatitis group research workshop 2024. JHEP Reports. 7(2). 101265–101265. 1 indexed citations
13.
Clusmann, Jan, et al.. (2024). Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024. JHEP Reports. 6(12). 101209–101209. 11 indexed citations
14.
Clusmann, Jan, Julius M. Kernbach, Carolin V. Schneider, et al.. (2023). An unusual case of intracerebral hemorrhage: exploring the link with Sneddon’s syndrome. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 119(1). 66–68.
15.
Clusmann, Jan, Fiona R. Kolbinger, Hannah Sophie Muti, et al.. (2023). The future landscape of large language models in medicine. SHILAP Revista de lepidopterología. 3(1). 141–141. 472 indexed citations breakdown →
16.
Clusmann, Jan, Frank Tacke, Christian Trautwein, et al.. (2023). Association of Helicobacter pylori Positivity With Risk of Disease and Mortality. Clinical and Translational Gastroenterology. 14(9). e00610–e00610. 2 indexed citations
17.
Clusmann, Jan, et al.. (2022). Acidosis induces RIPK1-dependent death of glioblastoma stem cells via acid-sensing ion channel 1a. Cell Death and Disease. 13(8). 702–702. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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