Maxime Blain
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in ⓘ
- Surgery 5
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- Radiation Dose and Imaging 2
- COVID-19 diagnosis using AI 1
- Medical Imaging Techniques and Applications 1
- Co-authors
- Bradford J. Wood (3 shared papers)Sheng Xu (2 shared papers)Michael Kassin (2 shared papers)Nicole Varble (2 shared papers)Dina Bedretdinova (1 shared paper)L. Rocher (1 shared paper)Robert D. Suh (1 shared paper)Evrim Türkbey (1 shared paper)
- Journals
- CardioVascular and Interventional Radiology (3 papers)European Radiology (2 papers)Clinical Anatomy (1 paper)Radiology (1 paper)Journal of Nuclear Medicine (1 paper)
- Partner nations
- FranceUnited StatesSouth Korea
In The Last Decade
Maxime Blain
11 papers receiving 122 citations
Peers
Comparison fields: 5 of 42
- Health Informatics 12
- Radiology, Nuclear Medicine and Imaging 61
- Orthopedics and Sports Medicine 14
- Radiation 9
- Pulmonary and Respiratory Medicine 31
Countries citing papers authored by Maxime Blain
This map shows the geographic impact of Maxime Blain'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 Maxime Blain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Blain more than expected).
Fields of papers citing papers by Maxime Blain
This network shows the impact of papers produced by Maxime Blain. 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 Maxime Blain. The network helps show where Maxime Blain may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Blain, 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 | 2020 | 49 | |
| 2 | 2021 | 26 | |
| 3 | 2018 | 21 | |
| 4 | 2021 | 12 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2019 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 | |
| 11 | [Histophysiology of the salivary gland in the snail Helix aspera Muller]. | 2000 | 1 |
| 12 | 2025 | 0 |
About Maxime Blain
Maxime Blain is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology and Oncology, having authored 12 papers that have together received 124 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Radiation Dose and Imaging (2 papers), Chronic Kidney Disease and Diabetes (1 paper), COVID-19 diagnosis using AI (1 paper), Medical Imaging Techniques and Applications (1 paper), Anatomy and Medical Technology (1 paper), Physiological and biochemical adaptations (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (61 citations), Orthopedics and Sports Medicine (14 citations), Radiation (9 citations) and Pulmonary and Respiratory Medicine (31 citations). Maxime Blain has collaborated with scholars based in France, United States and South Korea. Frequent co-authors include Bradford J. Wood, Sheng Xu, Michael Kassin, Nicole Varble, Dina Bedretdinova, L. Rocher, Robert D. Suh, Evrim Türkbey, Xiaosong Wang and Barış Türkbey. Their work appears in journals such as CardioVascular and Interventional Radiology, European Radiology, Clinical Anatomy, Radiology and Journal of Nuclear Medicine.
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.