Clément Bailly
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- Radiomics and Machine Learning in Medical Imaging 20
- Medical Imaging Techniques and Applications 18
- Radiopharmaceutical Chemistry and Applications 15
- Hematology top 5%
- Multiple Myeloma Research and Treatments 17
- Oncology top 10%
- Peptidase Inhibition and Analysis 11
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 16
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- Protein Degradation and Inhibitors 7
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- Sarcoma Diagnosis and Treatment 6
- Co-authors
- Françoise Kraeber‐BodéréCaroline Bodet‐MilinThomas CarlierMichel ChérelMickaël BourgeoisAlain Faivre-ChauvetPhilippe MoreauBastien Jamet
- Journals
- Cancers (7 papers)Frontiers in Medicine (6 papers)International Journal of Molecular Sciences (4 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Clément Bailly
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Radiology, Nuclear Medicine and Imaging 528
- Hematology 195
- Oncology 333
- Pathology and Forensic Medicine 173
- Cancer Research 109
Countries citing papers authored by Clément Bailly
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 12 | |
| 8 | 2020 | 44 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2019 | 25 | |
| 12 | 2019 | 36 | |
| 13 | 2019 | 29 | |
| 14 | 2018 | 20 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 38 | |
| 17 | 2015 | 12 | |
| 18 | 2015 | 29 | |
| 19 | Can MIBG scan replace the need for bone marrow assessment at diagnosis and reassessment in stage 4 neuroblastomas? | 2004 | 7 |
| 20 | 1992 | 2 |
About Clément Bailly
Clément Bailly is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology, Pathology and Forensic Medicine, Oncology and Hepatology, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), Medical Imaging Techniques and Applications (18 papers), Multiple Myeloma Research and Treatments (17 papers), Lymphoma Diagnosis and Treatment (16 papers), Radiopharmaceutical Chemistry and Applications (15 papers), Peptidase Inhibition and Analysis (11 papers), Protein Degradation and Inhibitors (7 papers) and Sarcoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (528 citations), Hematology (195 citations), Oncology (333 citations), Pathology and Forensic Medicine (173 citations) and Cancer Research (109 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, Bastien Jamet, Cyrille Touzeau and Caroline Rousseau. Their work appears in journals such as Cancers, Frontiers in Medicine, International Journal of Molecular Sciences, European Journal of Nuclear Medicine and Molecular Imaging 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.