C. Chapellier

28 papers receiving 520 citations

Peers

C. Chapellier
Comparison fields: 5 of 35
  • Cancer Research 288
  • Pathology and Forensic Medicine 135
  • Radiology, Nuclear Medicine and Imaging 166
  • Radiation 55
  • Oncology 56
Replace Kenneth E. Pengel with:
Kenneth E. Pengel Netherlands
E. Obedian United States
R Benda United States
Anna Morra Italy
George Papadatos Australia
T. Jansson Sweden
L.J. Pierce United States
P. Bastiani Italy
Carla De Luca Cardillo Italy
Greg Edmundson United States
C. Chapellier relative to Kenneth E. Pengel Netherlands Kenneth E. Pengel's profile →
Citations per field
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Citations per year

Countries citing papers authored by C. Chapellier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with C. Chapellier Line = papers co-authored together C. Chapellier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002145
2 201356
3 200649
4 200947
5 200746
6 201534
7 201427
8 200026
9 200923
10 200615
11 20067
12 20067
13 20137
14 20057
15 20096
16 20056
17 20065
18 20094
19 20173
20 20182

About C. Chapellier

C. Chapellier is a scholar working on Cancer Research, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence, having authored 30 papers that have together received 534 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), MRI in cancer diagnosis (4 papers), AI in cancer detection (3 papers), Medical Imaging Techniques and Applications (2 papers), Global Cancer Incidence and Screening (2 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Cancer Research (288 citations), Pathology and Forensic Medicine (135 citations), Radiology, Nuclear Medicine and Imaging (166 citations), Radiation (55 citations) and Oncology (56 citations). C. Chapellier has collaborated with scholars based in France, United States and Switzerland. 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, Diagnostic and Interventional Imaging, Clinical Breast Cancer, European Journal of Surgical Oncology and Breast Cancer Research and Treatment.

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.

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