Clément Bailly

2.1k citations
79 papers · 1.2k · h-index 23

Impact in

    • Radiopharmaceutical Chemistry and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Medical Imaging Techniques and Applications
    • Monoclonal and Polyclonal Antibodies Research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

    • Radiomics and Machine Learning in Medical Imaging 19
    • Medical Imaging Techniques and Applications 17
    • Radiopharmaceutical Chemistry and Applications 17
    • Monoclonal and Polyclonal Antibodies Research 6
    • Peptidase Inhibition and Analysis 12

Clément Bailly

75 papers receiving 1.2k citations

Peers

Clément Bailly
Comparison fields: 5 of 84
  • Radiology, Nuclear Medicine and Imaging 488
  • Hematology 193
  • Oncology 286
  • Pathology and Forensic Medicine 143
  • Pulmonary and Respiratory Medicine 180
Replace Jennifer Visich with:
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Citations per field
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Citations per year

Countries citing papers authored by Clément Bailly

Since Specialization
Citations

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

Fields of papers citing papers by Clément Bailly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Germ line mutation at BRCA1 affects the histoprognostic grade in hereditary breast cancer.
1996137
2 201669
3 201654
4 201949
5 201744
6 202044
7 201542
8 201941
9 200932
10 201930
11 201730
12 201529
13 201628
14 201828
15 201027
16 201925
17 202025
18 201925
19 201924
20 201924

About Clément Bailly

Clément Bailly is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Hematology, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), Medical Imaging Techniques and Applications (17 papers), Radiopharmaceutical Chemistry and Applications (17 papers), Multiple Myeloma Research and Treatments (16 papers), Lymphoma Diagnosis and Treatment (15 papers), Peptidase Inhibition and Analysis (12 papers), Protein Degradation and Inhibitors (8 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (488 citations), Hematology (193 citations), Oncology (286 citations), Pathology and Forensic Medicine (143 citations) and Pulmonary and Respiratory Medicine (180 citations). Clément Bailly has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Françoise Kraeber‐Bodéré, Caroline Bodet‐Milin, Thomas Carlier, Michel Chérel, Mickaël Bourgeois, Alain Faivre-Chauvet, Philippe Moreau, Caroline Rousseau, Bastien Jamet and Cyrille Touzeau. Their work appears in journals such as Cancers, Frontiers in Medicine, European Journal of Nuclear Medicine and Molecular Imaging, International Journal of Molecular Sciences and Blood.

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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