Jan C. Peeken
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 10%
- Oncology
- Genetics top 10%
- Co-authors
- Stephanie E. CombsFridtjof NüsslinPeter VaupelMatthew J. NyflotMatthew B. SprakerHendrik DapperBenedikt WiestlerBurkhard Rost
- Topics
- Radiomics and Machine Learning in Medical Imaging (28 papers)Sarcoma Diagnosis and Treatment (16 papers)Advanced X-ray and CT Imaging (9 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Jan C. Peeken
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Radiology, Nuclear Medicine and Imaging 686
- Pulmonary and Respiratory Medicine 491
- Biomedical Engineering 256
- Oncology 164
- Genetics 153
Countries citing papers authored by Jan C. Peeken
This map shows the geographic impact of Jan C. Peeken'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 C. Peeken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan C. Peeken more than expected).
Fields of papers citing papers by Jan C. Peeken
This network shows the impact of papers produced by Jan C. Peeken. 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 C. Peeken. The network helps show where Jan C. Peeken may publish in the future.
Co-authorship network of co-authors of Jan C. Peeken
This figure shows the co-authorship network connecting the top 25 collaborators of Jan C. Peeken. A scholar is included among the top collaborators of Jan C. Peeken 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 C. Peeken. Jan C. Peeken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 8 | |
| 15 | 27 | |
| 16 | 30 | |
| 17 | 46 | |
| 18 | 45 | |
| 19 | 29 | |
| 20 | 35 |
About Jan C. Peeken
Jan C. Peeken is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (28 papers), Sarcoma Diagnosis and Treatment (16 papers) and Advanced X-ray and CT Imaging (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (686 citations), Health Informatics (28 citations) and Pulmonary and Respiratory Medicine (491 citations). Jan C. Peeken has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stephanie E. Combs, Fridtjof Nüsslin, Peter Vaupel, Stephanie E. Combs, Matthew J. Nyflot, Matthew B. Spraker, Hendrik Dapper, Benedikt Wiestler, Burkhard Rost and Nina A. Mayr. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Blood.
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.