Jan Clusmann
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
- Clinical Reasoning and Diagnostic Skills
Papers in ⓘ
-
- Liver Disease Diagnosis and Treatment 6
-
- AI in cancer detection 2
- Co-authors
- Jakob Nikolas Kather (10 shared papers)Hannah Sophie Muti (2 shared papers)Gregory Patrick Veldhuizen (3 shared papers)Chiara Maria Lavinia Löffler (2 shared papers)Michaela Unger (2 shared papers)Narmin Ghaffari Laleh (2 shared papers)Jan‐Niklas Eckardt (2 shared papers)Sophia J. Wagner (2 shared papers)
- Journals
- Liver International (3 papers)JHEP Reports (3 papers)Journal of Hepatology (1 paper)Cell Death and Disease (1 paper)Alimentary Pharmacology & Therapeutics (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jan Clusmann
13 papers receiving 530 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Health Informatics 299
- Family Practice 28
- Health Information Management 39
- Artificial Intelligence 211
- Radiology, Nuclear Medicine and Imaging 140
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 | 472 |
| 2 | Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology Hit paper breakdown → | 2025 | 18 |
| 3 | 2022 | 11 | |
| 4 | 2024 | 11 | |
| 5 | 2025 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2025 | 4 | |
| 8 | 2025 | 3 | |
| 9 | 2025 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2023 | 0 |
About Jan Clusmann
Jan Clusmann is a scholar working on Epidemiology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Health Informatics, having authored 17 papers that have together received 545 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Artificial Intelligence in Healthcare and Education (5 papers), Artificial Intelligence in Healthcare (3 papers), Biomedical Text Mining and Ontologies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (2 papers), AI in cancer detection (2 papers) and Liver Diseases and Immunity (2 papers). The work is most often cited by research in Health Informatics (299 citations), Family Practice (28 citations), Health Information Management (39 citations), Artificial Intelligence (211 citations) and Radiology, Nuclear Medicine and Imaging (140 citations). Jan Clusmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jakob Nikolas Kather, Hannah Sophie Muti, Gregory Patrick Veldhuizen, Chiara Maria Lavinia Löffler, Michaela Unger, Narmin Ghaffari Laleh, Jan‐Niklas Eckardt, Sophia J. Wagner, Zunamys I. Carrero and Fiona R. Kolbinger. Their work appears in journals such as Liver International, JHEP Reports, Journal of Hepatology, Cell Death and Disease and Alimentary Pharmacology & Therapeutics.
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.