Fabrice Gutman
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research
- Hepatology top 5%
- Co-authors
- Jean‐Noël TalbotJean‐Didier GrangéKhaldoun KerrouFrançoise MontraversDany GrahekLætitia FartouxOlivier RosmorducVirginie Huchet
- Topics
- Medical Imaging Techniques and Applications (11 papers)Advanced X-ray and CT Imaging (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Journals
- American Journal of RoentgenologyJournal of Nuclear MedicineEuropean Journal of Nuclear Medicine and Molecular Imaging
- Partner nations
- FranceSlovakiaUnited Kingdom
In The Last Decade
Fabrice Gutman
20 papers receiving 691 citations
Peers
Comparison fields: 5 of 55
- Radiology, Nuclear Medicine and Imaging 391
- Oncology 233
- Pulmonary and Respiratory Medicine 231
- Cancer Research 146
- Hepatology 138
Countries citing papers authored by Fabrice Gutman
This map shows the geographic impact of Fabrice Gutman'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 Fabrice Gutman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrice Gutman more than expected).
Fields of papers citing papers by Fabrice Gutman
This network shows the impact of papers produced by Fabrice Gutman. 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 Fabrice Gutman. The network helps show where Fabrice Gutman may publish in the future.
Co-authorship network of co-authors of Fabrice Gutman
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Gutman. A scholar is included among the top collaborators of Fabrice Gutman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabrice Gutman. Fabrice Gutman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 142 | |
| 3 | 38 | |
| 4 | 2 | |
| 5 | 86 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 106 | |
| 13 | 4 | |
| 14 | Can fluorodihydroxyphenylalanine PET replace somatostatin receptor scintigraphy in patients with digestive endocrine tumors? | 78 |
| 15 | 1 | |
| 16 | 21 | |
| 17 | 18 | |
| 18 | 144 | |
| 19 | 39 | |
| 20 | 19 |
About Fabrice Gutman
Fabrice Gutman is a scholar working on Radiology, Nuclear Medicine and Imaging, Gastroenterology and Hepatology, having authored 20 papers that have together received 716 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Advanced X-ray and CT Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Hepatology (138 citations), Radiology, Nuclear Medicine and Imaging (391 citations) and Cancer Research (146 citations). Fabrice Gutman has collaborated with scholars based in France, Slovakia and United Kingdom. Frequent co-authors include Jean‐Noël Talbot, Jean‐Didier Grangé, Khaldoun Kerrou, Françoise Montravers, Dany Grahek, Lætitia Fartoux, Olivier Rosmorduc, Virginie Huchet, Soňa Balogová and Sandi A. Kwee. Their work appears in journals such as American Journal of Roentgenology, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.
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.