C. Perlet
Impact in
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- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas
Papers in
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- MRI in cancer diagnosis 8
- Advanced Neuroimaging Techniques and Applications 1
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- Breast Cancer Treatment Studies 4
- Co-authors
- H. Sittek (18 shared papers)Maximilian F. Reiser (9 shared papers)Jan Casselman (2 shared papers)A. Heinig (2 shared papers)Patrice Taourel (3 shared papers)M. Keßler (5 shared papers)Philipp Schneider (3 shared papers)L. Bååth (2 shared papers)
In The Last Decade
C. Perlet
19 papers receiving 489 citations
Peers
Comparison fields: 5 of 35
- Radiology, Nuclear Medicine and Imaging 348
- Pathology and Forensic Medicine 188
- Cancer Research 74
- Dermatology 13
- Oncology 33
Countries citing papers authored by C. Perlet
This map shows the geographic impact of C. Perlet'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 C. Perlet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Perlet more than expected).
Fields of papers citing papers by C. Perlet
This network shows the impact of papers produced by C. Perlet. 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 C. Perlet. The network helps show where C. Perlet may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Perlet, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 151 | |
| 2 | 2002 | 97 | |
| 3 | 2002 | 41 | |
| 4 | 2000 | 31 | |
| 5 | 1999 | 30 | |
| 6 | 2002 | 25 | |
| 7 | 2002 | 25 | |
| 8 | 2005 | 23 | |
| 9 | 1997 | 15 | |
| 10 | 1997 | 15 | |
| 11 | [Dynamic MR-mammography in invasive lobular breast cancer]. | 1998 | 12 |
| 12 | 1998 | 12 | |
| 13 | 2000 | 11 | |
| 14 | 2005 | 10 | |
| 15 | 1997 | 10 | |
| 16 | 2002 | 4 | |
| 17 | 2002 | 3 | |
| 18 | [Preoperative marking of non-palpable mammary lesions on the magnetic resonance image using a body coil]. | 1998 | 1 |
| 19 | 2006 | 1 | |
| 20 | 2004 | 0 |
About C. Perlet
C. Perlet is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 21 papers that have together received 517 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (8 papers), Breast Cancer Treatment Studies (4 papers), Breast Lesions and Carcinomas (3 papers), Body Composition Measurement Techniques (1 paper), Sarcoma Diagnosis and Treatment (1 paper), BRCA gene mutations in cancer (1 paper), Cancer Risks and Factors (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (348 citations), Pathology and Forensic Medicine (188 citations), Cancer Research (74 citations), Dermatology (13 citations) and Oncology (33 citations). C. Perlet has collaborated with scholars based in Germany, France and Sweden. Frequent co-authors include H. Sittek, Maximilian F. Reiser, Jan Casselman, A. Heinig, Patrice Taourel, M. Keßler, Philipp Schneider, L. Bååth, Marc L. Kessler and Michael Untch. Their work appears in journals such as European Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Breast Cancer Research and Treatment, Cancer and Der Radiologe.
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.