Jules Grégory
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Hepatology 13
- Hepatocellular Carcinoma Treatment and Prognosis 13
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- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 5
- Co-authors
- Thomas Grégory (7 shared papers)Valérie Vilgrain (24 shared papers)Maxime Ronot (27 shared papers)Olivier Mir (2 shared papers)Marco Dioguardi Burgio (13 shared papers)John B. Sledge (1 shared paper)Riccardo Sartoris (5 shared papers)Giuseppe Corrias (1 shared paper)
- Journals
- European Radiology (8 papers)JHEP Reports (5 papers)Diagnostic and Interventional Imaging (4 papers)Insights into Imaging (3 papers)Radiology (2 papers)
- Partner nations
- FranceCanadaUnited Kingdom
In The Last Decade
Jules Grégory
51 papers receiving 784 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 60
- Hepatology 91
- Radiology, Nuclear Medicine and Imaging 209
- Reproductive Medicine 46
- Critical Care and Intensive Care Medicine 20
Countries citing papers authored by Jules Grégory
This map shows the geographic impact of Jules Grégory'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 Jules Grégory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jules Grégory more than expected).
Fields of papers citing papers by Jules Grégory
This network shows the impact of papers produced by Jules Grégory. 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 Jules Grégory. The network helps show where Jules Grégory may publish in the future.
Co-authors
The 25 scholars most cited alongside Jules Grégory, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 128 | |
| 2 | 2018 | 101 | |
| 3 | 2020 | 57 | |
| 4 | 2016 | 50 | |
| 5 | 2020 | 50 | |
| 6 | 2021 | 41 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 23 | |
| 10 | 2024 | 22 | |
| 11 | 2017 | 19 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 18 | |
| 14 | 2016 | 15 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2017 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2022 | 11 |
About Jules Grégory
Jules Grégory is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Health Informatics, Oncology and Surgery, having authored 62 papers that have together received 797 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 diagnosis using AI (5 papers), COVID-19 Clinical Research Studies (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Renal cell carcinoma treatment (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Anatomy and Medical Technology (3 papers). The work is most often cited by research in Health Informatics (60 citations), Hepatology (91 citations), Radiology, Nuclear Medicine and Imaging (209 citations), Reproductive Medicine (46 citations) and Critical Care and Intensive Care Medicine (20 citations). Jules Grégory has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Thomas Grégory, Valérie Vilgrain, Maxime Ronot, Olivier Mir, Marco Dioguardi Burgio, John B. Sledge, Riccardo Sartoris, Giuseppe Corrias, Jaron Chong and Marie‐Pierre Revel. Their work appears in journals such as European Radiology, JHEP Reports, Diagnostic and Interventional Imaging, Insights into Imaging and Radiology.
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.