S. Supiot

7.2k total citations
231 papers, 3.1k citations indexed

About

S. Supiot is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S. Supiot has authored 231 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Pulmonary and Respiratory Medicine, 69 papers in Radiation and 55 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S. Supiot's work include Prostate Cancer Treatment and Research (104 papers), Prostate Cancer Diagnosis and Treatment (96 papers) and Advanced Radiotherapy Techniques (69 papers). S. Supiot is often cited by papers focused on Prostate Cancer Treatment and Research (104 papers), Prostate Cancer Diagnosis and Treatment (96 papers) and Advanced Radiotherapy Techniques (69 papers). S. Supiot collaborates with scholars based in France, Canada and Switzerland. S. Supiot's co-authors include François Paris, Robert G. Bristow, G. Delpon, Vincent Potiron, L. Campion, I. Latorzeff, Paul Sargos, Sophie Chiavassa, G. Créhange and Marc-André Mahé and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

S. Supiot

207 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Supiot France 31 1.7k 880 840 632 535 231 3.1k
Ute Ganswindt Germany 38 2.2k 1.3× 1.5k 1.7× 1.3k 1.6× 635 1.0× 653 1.2× 166 4.4k
Nils H. Nicolay Germany 29 1.1k 0.6× 842 1.0× 421 0.5× 794 1.3× 508 0.9× 184 3.0k
William A. Hall United States 34 1.7k 1.0× 1.2k 1.4× 889 1.1× 1.5k 2.4× 357 0.7× 199 3.9k
John Staffurth United Kingdom 31 2.8k 1.6× 1.2k 1.4× 728 0.9× 1.1k 1.7× 850 1.6× 117 4.4k
Alberto Bossi France 28 1.8k 1.1× 561 0.6× 527 0.6× 487 0.8× 256 0.5× 106 2.6k
Masahiko Koizumi Japan 25 1.2k 0.7× 670 0.8× 904 1.1× 484 0.8× 272 0.5× 186 2.5k
Mitchell Kamrava United States 26 1.1k 0.6× 660 0.8× 688 0.8× 575 0.9× 186 0.3× 180 2.6k
T.A. DeWees United States 35 1.7k 1.0× 1.1k 1.3× 1.1k 1.3× 808 1.3× 403 0.8× 174 3.9k
Matthew Koshy United States 36 1.7k 1.0× 658 0.7× 402 0.5× 1.2k 1.9× 271 0.5× 125 4.3k
D.A. Loblaw Canada 29 2.5k 1.5× 487 0.6× 877 1.0× 587 0.9× 307 0.6× 88 3.4k

Countries citing papers authored by S. Supiot

Since Specialization
Citations

This map shows the geographic impact of S. Supiot'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 S. Supiot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Supiot more than expected).

Fields of papers citing papers by S. Supiot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Supiot. 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 S. Supiot. The network helps show where S. Supiot may publish in the future.

Co-authorship network of co-authors of S. Supiot

This figure shows the co-authorship network connecting the top 25 collaborators of S. Supiot. A scholar is included among the top collaborators of S. Supiot 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 S. Supiot. S. Supiot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Heudel, Pierre-Étienne, Mario Campone, Marie Robert, et al.. (2025). Large Language Models as Decision-Making Tools in Oncology: Comparing Artificial Intelligence Suggestions and Expert Recommendations. JCO Clinical Cancer Informatics. 9(9). e2400230–e2400230. 4 indexed citations
2.
Landry, Charles F., et al.. (2025). Circulating tumour cells for the prediction of the response to radiation therapy in prostate cancer. British Journal of Radiology. 98(1175). 1899–1911.
3.
Oudard, Stéphane, Pierre Combe, Ali Hasbini, et al.. (2024). ALADDIN: Evaluation of darolutamide addition to androgen deprivation therapy and radiation therapy in newly diagnosed prostate cancer with pelvic lymph nodes metastases.. Journal of Clinical Oncology. 42(16_suppl). TPS5127–TPS5127. 1 indexed citations
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Belkacémi, Yazid, D. Lerouge, C. Durdux, et al.. (2023). Revue de morbidité et mortalité en radiothérapie : procédure, implémentation et perspectives du projet national français « Proust ». Cancer/Radiothérapie. 27(6-7). 474–479.
7.
Crevoisier, R. de, Julie Leseur, Christophe Bouvet, et al.. (2023). Compréhension/acceptation de la radiothérapie : un dilemme éthique résolu par une éthique de la considération et de la sollicitude. Cancer/Radiothérapie. 27(2). 115–125. 1 indexed citations
8.
Piffoux, Max, G. Delpon, Alain Alexis, et al.. (2023). Insights on the carbon footprint of radiotherapy in France. Cancer/Radiothérapie. 27(6-7). 487–490. 3 indexed citations
9.
Belkacémi, Yazid, Marie‐Claude Biston, Cyrus Chargari, et al.. (2023). Limited applicability and implementation of the international oncology treatments guidelines in low- and middle-income countries, an example from the Mediterranean area borders. Cancer/Radiothérapie. 27(6-7). 666–675. 1 indexed citations
10.
Guévelou, Jennifer Le, Nicolas Magné, Felipe Couñago, et al.. (2023). Stereotactic body radiation therapy after radical prostatectomy: current status and future directions. World Journal of Urology. 41(11). 3333–3344. 2 indexed citations
11.
Hoey, Christianne, Jessica Ray, Vincent Potiron, et al.. (2020). microRNAs identified in prostate cancer: Correlative studies on response to ionizing radiation. Molecular Cancer. 19(1). 63–63. 32 indexed citations
12.
Laprie, Anne, Anne Ducassou, Stéphanie Bolle, et al.. (2018). Re-irradiation of locally recurrent pediatric intracranial ependymoma: Experience of the French society of children’s cancer. Radiotherapy and Oncology. 132. 1–7. 19 indexed citations
13.
Escande, Alexandre & S. Supiot. (2018). La radiothérapie externe guidée par l’imagerie dans le cancer de la prostate ; comment, quand et pourquoi ?. Cancer/Radiothérapie. 22(6-7). 586–592. 3 indexed citations
14.
Loriot, Yohann, S. Supiot, Jean‐Baptiste Beauval, et al.. (2018). Management of non-metastatic castrate-resistant prostate cancer: A systematic review. Cancer Treatment Reviews. 70. 223–231. 17 indexed citations
15.
Thureau, S., Marie-Hélène Vieillard, S. Supiot, & Lagrange Jl. (2016). Radiothérapie des métastases osseuses. Cancer/Radiothérapie. 20. S227–S234. 12 indexed citations
16.
Choudhury, Ananya, Helen Zhao, Farid Jalali, et al.. (2009). Targeting homologous recombination using imatinib results in enhanced tumor cell chemosensitivity and radiosensitivity. Molecular Cancer Therapeutics. 8(1). 203–213. 87 indexed citations
17.
Supiot, S., F. Thillays, E. Rio, et al.. (2007). Le point sur les avancées récentes de la radio-immunothérapie alpha. Cancer/Radiothérapie. 11(5). 252–259. 4 indexed citations
18.
Rio, E., É. Bardet, C. Ferron, et al.. (2006). Curiethérapie interstitielle des cancers cutanés des zones périorificielles de la face. Cancer/Radiothérapie. 10(3). 101–106. 2 indexed citations
19.
Rio, Emmanuel, É. Bardet, Christophe Ferron, et al.. (2005). Interstitial brachytherapy of periorificial skin carcinomas of the face: A retrospective study of 97 cases. International Journal of Radiation Oncology*Biology*Physics. 63(3). 753–757. 46 indexed citations
20.
Couturier, Olivier, S. Supiot, Alain Faivre-Chauvet, et al.. (2005). Cancer radioimmunotherapy with alpha-emitting nuclides. European Journal of Nuclear Medicine and Molecular Imaging. 32(5). 601–614. 135 indexed citations

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.

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