Jan Clusmann
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Biomedical Text Mining and Ontologies 3
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- AI in cancer detection 2
- Co-authors
- Jakob Nikolas Kather (11 shared papers)Fiona R. Kolbinger (2 shared papers)Narmin Ghaffari Laleh (2 shared papers)Sophia J. Wagner (2 shared papers)Zunamys I. Carrero (2 shared papers)Michaela Unger (2 shared papers)Jan‐Niklas Eckardt (2 shared papers)Chiara Maria Lavinia Löffler (2 shared papers)
- Journals
- JHEP Reports (3 papers)Liver International (3 papers)Alimentary Pharmacology & Therapeutics (1 paper)Nature Communications (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jan Clusmann
13 papers receiving 657 citations
Jan Clusmann's Hit Papers
Peers
Comparison fields: 5 of 103
- Health Informatics 279
- Health Information Management 38
- Family Practice 14
- Artificial Intelligence 174
- Radiology, Nuclear Medicine and Imaging 91
Countries citing papers authored by Jan Clusmann
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
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-authors
The 25 scholars most cited alongside Jan Clusmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The future landscape of large language models in medicine Hit paper breakdown → | 2023 | 556 |
| 2 | Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology Hit paper breakdown → | 2025 | 41 |
| 3 | 2024 | 16 | |
| 4 | 2022 | 13 | |
| 5 | 2025 | 11 | |
| 6 | 2024 | 8 | |
| 7 | 2025 | 5 | |
| 8 | 2025 | 5 | |
| 9 | 2025 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2023 | 0 |
About Jan Clusmann
Jan Clusmann is a scholar working on Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Health Informatics and Health Information Management, having authored 18 papers that have together received 667 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Biomedical Text Mining and Ontologies (3 papers), Artificial Intelligence in Healthcare (2 papers), Liver Diseases and Immunity (2 papers), AI in cancer detection (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (279 citations), Health Information Management (38 citations), Family Practice (14 citations), Artificial Intelligence (174 citations) and Radiology, Nuclear Medicine and Imaging (91 citations). Jan Clusmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jakob Nikolas Kather, Fiona R. Kolbinger, Narmin Ghaffari Laleh, Sophia J. Wagner, Zunamys I. Carrero, Michaela Unger, Jan‐Niklas Eckardt, Chiara Maria Lavinia Löffler, Gregory Patrick Veldhuizen and Hannah Sophie Muti. Their work appears in journals such as JHEP Reports, Liver International, Alimentary Pharmacology & Therapeutics, Nature Communications and Journal of Hepatology.
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.