Samy Ammari
- Oncology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Immunology top 5%
- Surgery top 10%
- Co-authors
- Laurent DercleAurélien MarabelleJean‐Charles SoriaChristophe MassardStéphane ChampiatAntoine HollebecqueCharles FertéÉric Deutsch
- Topics
- Cancer Immunotherapy and Biomarkers (42 papers)Radiomics and Machine Learning in Medical Imaging (34 papers)Medical Imaging Techniques and Applications (14 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Samy Ammari
107 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Oncology 2.7k
- Radiology, Nuclear Medicine and Imaging 1.9k
- Pulmonary and Respiratory Medicine 1.4k
- Immunology 666
- Surgery 524
Countries citing papers authored by Samy Ammari
This map shows the geographic impact of Samy Ammari'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 Samy Ammari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samy Ammari more than expected).
Fields of papers citing papers by Samy Ammari
This network shows the impact of papers produced by Samy Ammari. 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 Samy Ammari. The network helps show where Samy Ammari may publish in the future.
Co-authorship network of co-authors of Samy Ammari
This figure shows the co-authorship network connecting the top 25 collaborators of Samy Ammari. A scholar is included among the top collaborators of Samy Ammari 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 Samy Ammari. Samy Ammari 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 | 4 | |
| 3 | 10 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 26 | |
| 11 | 14 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | Outcome of older cancer patients infected with Covid19 at Gustave Roussy Cancer Center | 2 |
| 16 | Littre’s Hernia: A Unusual Tricky Situation of Meckel’s Diverticulum | 1 |
| 17 | 106 | |
| 18 | 2 | |
| 19 | Hyperprogressive Disease Is a New Pattern of Progression in Cancer Patients Treated by Anti-PD-1/PD-L1breakdown → | 867 |
| 20 | 130 |
About Samy Ammari
Samy Ammari is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 114 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (42 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Medical Imaging Techniques and Applications (14 papers). The work is most often cited by research in Oncology (2.7k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Health Informatics (62 citations). Samy Ammari has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Laurent Dercle, Aurélien Marabelle, Jean‐Charles Soria, Christophe Massard, Stéphane Champiat, Antoine Hollebecque, Charles Ferté, Éric Deutsch, Sophie Postel‐Vinay and Alexander M.M. Eggermont. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.
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.