C. Chapellier
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 Cancer Treatment Studies 20
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- Breast Lesions and Carcinomas 15
- Co-authors
- C. Balu–Maestro (19 shared papers)F. Ettore (8 shared papers)Emmanuel Chamorey (8 shared papers)R. Largillier (1 shared paper)I. Raoust (6 shared papers)Jean-Marc Ferrero (8 shared papers)A. Courdi (6 shared papers)Isabelle Birtwisle‐Peyrottes (5 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)Radiotherapy and Oncology (1 paper)Clinical Breast Cancer (1 paper)Diagnostic and Interventional Imaging (1 paper)Annals of Oncology (1 paper)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
C. Chapellier
28 papers receiving 514 citations
Peers
Comparison fields: 5 of 40
- Cancer Research 351
- Pathology and Forensic Medicine 245
- Radiology, Nuclear Medicine and Imaging 259
- Radiation 88
- Oncology 95
Countries citing papers authored by C. Chapellier
This map shows the geographic impact of C. Chapellier'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. Chapellier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Chapellier more than expected).
Fields of papers citing papers by C. Chapellier
This network shows the impact of papers produced by C. Chapellier. 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. Chapellier. The network helps show where C. Chapellier may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Chapellier, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 145 | |
| 2 | 2013 | 54 | |
| 3 | 2006 | 49 | |
| 4 | 2009 | 46 | |
| 5 | 2007 | 46 | |
| 6 | 2015 | 33 | |
| 7 | 2014 | 26 | |
| 8 | 2000 | 26 | |
| 9 | 2009 | 23 | |
| 10 | 2006 | 15 | |
| 11 | 2005 | 7 | |
| 12 | 2006 | 7 | |
| 13 | 2006 | 7 | |
| 14 | 2013 | 7 | |
| 15 | 2009 | 6 | |
| 16 | 2005 | 6 | |
| 17 | 2006 | 5 | |
| 18 | 2009 | 4 | |
| 19 | 2018 | 2 | |
| 20 | 2017 | 2 |
About C. Chapellier
C. Chapellier is a scholar working on Cancer Research, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Surgery, having authored 30 papers that have together received 528 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (20 papers), Breast Lesions and Carcinomas (15 papers), MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers), AI in cancer detection (4 papers), Breast Implant and Reconstruction (4 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Cancer Research (351 citations), Pathology and Forensic Medicine (245 citations), Radiology, Nuclear Medicine and Imaging (259 citations), Radiation (88 citations) and Oncology (95 citations). C. Chapellier has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include C. Balu–Maestro, F. Ettore, Emmanuel Chamorey, R. Largillier, I. Raoust, Jean-Marc Ferrero, A. Courdi, Isabelle Birtwisle‐Peyrottes, B. Flipo and M. Lallement. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Clinical Breast Cancer, Diagnostic and Interventional Imaging and Annals of Oncology.
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.