Sébastien Benzekry
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth 24
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 18
- Cancer, Hypoxia, and Metabolism 5
- Oncology top 5%
- Cancer Cells and Metastasis 12
- Cancer Immunotherapy and Biomarkers 9
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging 5
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- Lung Cancer Treatments and Mutations 9
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- Angiogenesis and VEGF in Cancer 6
- Co-authors
- Philip HahnfeldtJohn M.L. EbosJoseph CiccoliniAmanda TraczClare LamontAfshin BeheshtiDominique BarbolosiFabrice Barlési
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (3 papers)Cancer Research (6 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Sébastien Benzekry
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 127
- Modeling and Simulation 533
- Cancer Research 322
- Oncology 545
- Health Informatics 17
- Radiology, Nuclear Medicine and Imaging 231
Countries citing papers authored by Sébastien Benzekry
This map shows the geographic impact of Sébastien Benzekry'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 Sébastien Benzekry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastien Benzekry more than expected).
Fields of papers citing papers by Sébastien Benzekry
This network shows the impact of papers produced by Sébastien Benzekry. 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 Sébastien Benzekry. The network helps show where Sébastien Benzekry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sébastien Benzekry, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | Computational modeling approaches for circulating cell-free DNA in oncology | 2024 | 1 |
| 4 | 2024 | 6 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 45 | |
| 11 | 2019 | 5 | |
| 12 | 2017 | 31 | |
| 13 | 2016 | 122 | |
| 14 | 2015 | 48 | |
| 15 | 2015 | 31 | |
| 16 | 2014 | 23 | |
| 17 | 2014 | 364 | |
| 18 | 2013 | 1 | |
| 19 | 2013 | 37 | |
| 20 | 2011 | 21 |
About Sébastien Benzekry
Sébastien Benzekry is a scholar working on Modeling and Simulation, Cancer Research and Oncology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (24 papers), Cancer Genomics and Diagnostics (18 papers), Cancer Cells and Metastasis (12 papers), Lung Cancer Treatments and Mutations (9 papers), Cancer Immunotherapy and Biomarkers (9 papers), Angiogenesis and VEGF in Cancer (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Modeling and Simulation (533 citations), Cancer Research (322 citations) and Oncology (545 citations). Sébastien Benzekry has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Philip Hahnfeldt, John M.L. Ebos, Joseph Ciccolini, Amanda Tracz, Clare Lamont, Afshin Beheshti, Dominique Barbolosi, Fabrice Barlési, Nicolás André and Raphaëlle Fanciullino. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.
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.