Jan Clusmann
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- Topic Modeling
- Machine Learning in Healthcare
- AI in cancer detection
Papers in
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- Artificial Intelligence in Healthcare and Education 11
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- Liver Diseases and Immunity 2
- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Jakob Nikolas Kather (16 shared papers)Jan‐Niklas Eckardt (3 shared papers)Fiona R. Kolbinger (4 shared papers)Hannah Sophie Muti (2 shared papers)Gregory Patrick Veldhuizen (3 shared papers)Michaela Unger (2 shared papers)Chiara Maria Lavinia Loeffler (2 shared papers)Sophia J. Wagner (2 shared papers)
- Journals
- Liver International (4 papers)JHEP Reports (3 papers)Nature Communications (2 papers)Nature (2 papers)Nature Medicine (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jan Clusmann
18 papers receiving 836 citations
Jan Clusmann's Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 558
- Artificial Intelligence 156
- Health Information Management 38
- Safety Research 35
- Hepatology 13
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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The future landscape of large language models in medicine Hit paper breakdown → | 2023 | 651 |
| 2 | Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology Hit paper breakdown → | 2025 | 83 |
| 3 | 2024 | 21 | |
| 4 | 2025 | 17 | |
| 5 | 2022 | 14 | |
| 6 | 2025 | 12 | |
| 7 | 2025 | 9 | |
| 8 | 2025 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2026 | 5 | |
| 12 | 2025 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2026 | 1 | |
| 18 | 2026 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2024 | 0 |
About Jan Clusmann
Jan Clusmann is a scholar working on Health Informatics, Hepatology, Artificial Intelligence, Health Information Management and Epidemiology, having authored 26 papers that have together received 852 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (11 papers), Liver Disease Diagnosis and Treatment (4 papers), AI in cancer detection (3 papers), Liver Diseases and Immunity (2 papers), Artificial Intelligence in Healthcare (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Health Informatics (558 citations), Artificial Intelligence (156 citations), Health Information Management (38 citations), Safety Research (35 citations) and Hepatology (13 citations). Jan Clusmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jakob Nikolas Kather, Jan‐Niklas Eckardt, Fiona R. Kolbinger, Hannah Sophie Muti, Gregory Patrick Veldhuizen, Michaela Unger, Chiara Maria Lavinia Loeffler, Sophia J. Wagner, Narmin Ghaffari Laleh and Zunamys Itzell Carrero. Their work appears in journals such as Liver International, JHEP Reports, Nature Communications, Nature and Nature Medicine.
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.