Pascal Chérel

33 papers receiving 836 citations

Peers

Pascal Chérel
Comparison fields: 5 of 62
  • Cancer Research 282
  • Pathology and Forensic Medicine 204
  • Oncology 260
  • Radiology, Nuclear Medicine and Imaging 205
  • Dermatology 45
Replace Snjez̆ana Frković‐Grazio with:
Snjez̆ana Frković‐Grazio Slovenia
Muneaki Sano Japan
Shoji Oura Japan
Shinobu Masuda Japan
A McKinna United Kingdom
Ash Nerurkar United Kingdom
T Hietanen Finland
Chikako Shimizu Japan
Federica Zoratto Italy
Quirino Piubello Italy
Pascal Chérel relative to Snjez̆ana Frković‐Grazio Slovenia Snjez̆ana Frković‐Grazio's profile →
Citations per field
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Snjez̆ana Frković‐Grazio · 1×
Citations per year

Countries citing papers authored by Pascal Chérel

Since Specialization
Citations

This map shows the geographic impact of Pascal 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 Pascal Chérel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Chérel more than expected).

Fields of papers citing papers by Pascal Chérel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pascal 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 Pascal Chérel. The network helps show where Pascal Chérel may publish in the future.

Co-authors

The 25 scholars most cited alongside Pascal Chérel, 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 Pascal Chérel Line = papers co-authored together Pascal Chérel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006149
2 2008127
3 2009100
4 201455
5 201151
6 200746
7 200540
8 201136
9 199533
10 201530
11 201330
12 201629
13 201425
14 198819
15 200518
16 200611
17 200810
18
Macrobiopsies mammaires par aspiration : problèmes posés au radiologue
20029
19 20209
20 20207

About Pascal Chérel

Pascal Chérel is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Dermatology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 865 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (15 papers), Breast Cancer Treatment Studies (12 papers), Cancer and Skin Lesions (7 papers), Cancer Diagnosis and Treatment (4 papers), Cancer Risks and Factors (4 papers), Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Cancer Research (282 citations), Pathology and Forensic Medicine (204 citations), Oncology (260 citations), Radiology, Nuclear Medicine and Imaging (205 citations) and Dermatology (45 citations). Pascal Chérel has collaborated with scholars based in France, Canada and Belgium. Frequent co-authors include Denise E. Stevens, Guinebretière Jm, Véronique Becette, Jean‐Louis Alberini, Michele Tubiana-Hulin, Myriam Wartski, S. Lasry, Jacques Rouëssé, Christine Cohen-Solal and Emmanuelle Fourme. Their work appears in journals such as Diagnostic and Interventional Imaging, European Journal of Radiology, Cancer Research, Insights into Imaging and Gynecologic 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.

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