P. Chérel
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
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- Breast Lesions and Carcinomas
Papers in ⓘ
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- Breast Lesions and Carcinomas 20
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- Breast Cancer Treatment Studies 17
- Co-authors
- Denise Stevens (4 shared papers)Guinebretière Jm (3 shared papers)Jean‐Louis Alberini (4 shared papers)Véronique Becette (11 shared papers)S. Lasry (1 shared paper)C. Cohen-Solal (1 shared paper)Myriam Wartski (3 shared papers)Jacques Rouëssé (2 shared papers)
- Journals
- Diagnostic and Interventional Imaging (3 papers)European Journal of Radiology (3 papers)Cancer (1 paper)Radiotherapy and Oncology (1 paper)Insights into Imaging (1 paper)
- Partner nations
- FranceCanadaSwitzerland
In The Last Decade
P. Chérel
33 papers receiving 792 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 345
- Pathology and Forensic Medicine 285
- Oncology 329
- Radiology, Nuclear Medicine and Imaging 243
- Microbiology 5
Countries citing papers authored by P. Chérel
This map shows the geographic impact of P. Chérel'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 P. Chérel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Chérel more than expected).
Fields of papers citing papers by P. Chérel
This network shows the impact of papers produced by P. Chérel. 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 P. Chérel. The network helps show where P. Chérel may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Chérel, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 142 | |
| 2 | 2008 | 121 | |
| 3 | 2009 | 94 | |
| 4 | 2014 | 51 | |
| 5 | 2011 | 48 | |
| 6 | 2007 | 44 | |
| 7 | 2005 | 37 | |
| 8 | 2011 | 33 | |
| 9 | 1995 | 31 | |
| 10 | 2013 | 28 | |
| 11 | 2015 | 27 | |
| 12 | 2016 | 25 | |
| 13 | 2014 | 23 | |
| 14 | 2005 | 17 | |
| 15 | 1988 | 16 | |
| 16 | 2006 | 11 | |
| 17 | 2008 | 10 | |
| 18 | 2020 | 10 | |
| 19 | Macrobiopsies mammaires par aspiration : problèmes posés au radiologue | 2002 | 9 |
| 20 | 2020 | 7 |
About P. Chérel
P. Chérel is a scholar working on Pathology and Forensic Medicine, Cancer Research, Dermatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 39 papers that have together received 816 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (20 papers), Breast Cancer Treatment Studies (17 papers), Cancer and Skin Lesions (9 papers), Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Diagnosis and Treatment (4 papers), Cancer Risks and Factors (4 papers) and Soft tissue tumor case studies (3 papers). The work is most often cited by research in Cancer Research (345 citations), Pathology and Forensic Medicine (285 citations), Oncology (329 citations), Radiology, Nuclear Medicine and Imaging (243 citations) and Microbiology (5 citations). P. Chérel has collaborated with scholars based in France, Canada and Switzerland. Frequent co-authors include Denise Stevens, Guinebretière Jm, Jean‐Louis Alberini, Véronique Becette, S. Lasry, C. Cohen-Solal, Myriam Wartski, Jacques Rouëssé, M. Tubiana-Hulin and Emmanuelle Fourme. Their work appears in journals such as Diagnostic and Interventional Imaging, European Journal of Radiology, Cancer, Radiotherapy and Oncology and Insights into Imaging.
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.