S. Supiot

7.5k citations
241 papers · 3.3k · h-index 33

Impact in

Papers in

S. Supiot

215 papers receiving 3.3k citations

Peers

S. Supiot
Comparison fields: 5 of 118
  • Radiation 544
  • Pulmonary and Respiratory Medicine 1.5k
  • Radiology, Nuclear Medicine and Imaging 682
  • Cancer Research 317
  • Oncology 519
Replace Koichi Tokuuye with:
Koichi Tokuuye Japan
Jeffrey Meyer United States
Roy H. Decker United States
William A. Hall United States
June Corry Australia
Volker Rudat Germany
Steven J. Feigenberg United States
Michael MacManus Australia
J.H.A.M. Kaanders Netherlands
Jiade J. Lu China
S. Supiot relative to Koichi Tokuuye Japan Koichi Tokuuye's profile →
Citations per field
00.5×5.1×
Koichi Tokuuye · 1×
Citations per year

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-authors

The 25 scholars most cited alongside S. Supiot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Supiot Line = papers co-authored together S. Supiot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 241 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020168
2 2005146
3 200992
4 201879
5 201179
6 201877
7 201672
8 201359
9 200856
10 202155
11 200255
12 200552
13 201248
14 201347
15 200545
16 200943
17 201442
18 202242
19 202042
20 201338

About S. Supiot

S. Supiot is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging, Oncology and Surgery, having authored 241 papers that have together received 3.3k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (90 papers), Prostate Cancer Treatment and Research (73 papers), Advanced Radiotherapy Techniques (47 papers), Radiopharmaceutical Chemistry and Applications (18 papers), Radiation Therapy and Dosimetry (15 papers), Glioma Diagnosis and Treatment (13 papers), Management of metastatic bone disease (12 papers) and Bladder and Urothelial Cancer Treatments (12 papers). The work is most often cited by research in Radiation (544 citations), Pulmonary and Respiratory Medicine (1.5k citations), Radiology, Nuclear Medicine and Imaging (682 citations), Cancer Research (317 citations) and Oncology (519 citations). S. Supiot has collaborated with scholars based in France, Canada and Switzerland. Frequent co-authors include François Paris, Robert G. Bristow, G. Delpon, Vincent Potiron, L. Campion, I. Latorzeff, Paul Sargos, Sophie Chiavassa, Marc-André Mahé and G. Créhange. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Radiotherapy and Oncology, Frontiers in Oncology and Cancers.

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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