S. Servagi-Vernat
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Radiation top 5%
- Advanced Radiotherapy Techniques
Papers in
- Radiation 12
- Advanced Radiotherapy Techniques 12
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- Head and Neck Cancer Studies 10
- Co-authors
- P. Maingon (9 shared papers)Anne Bol (2 shared papers)John A. Lee (2 shared papers)Daniel Labar (2 shared papers)Vincent Grégoire (2 shared papers)François‐Xavier Hanin (2 shared papers)Philippe Giraud (13 shared papers)Bernard Roullet (2 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (5 papers)Radiotherapy and Oncology (5 papers)Cancers (4 papers)Drugs & Aging (3 papers)European Journal of Cancer (3 papers)
- Partner nations
- FranceUnited StatesTürkiye
In The Last Decade
S. Servagi-Vernat
84 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 38
- Cancer Research 194
- Radiation 120
- Otorhinolaryngology 75
- Geriatrics and Gerontology 34
- Genetics 99
Countries citing papers authored by S. Servagi-Vernat
This map shows the geographic impact of S. Servagi-Vernat'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. Servagi-Vernat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Servagi-Vernat more than expected).
Fields of papers citing papers by S. Servagi-Vernat
This network shows the impact of papers produced by S. Servagi-Vernat. 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. Servagi-Vernat. The network helps show where S. Servagi-Vernat may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Servagi-Vernat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 211 | |
| 2 | 2019 | 176 | |
| 3 | 2014 | 85 | |
| 4 | 2014 | 55 | |
| 5 | 2018 | 53 | |
| 6 | 2015 | 50 | |
| 7 | 2014 | 32 | |
| 8 | 2018 | 26 | |
| 9 | 2019 | 26 | |
| 10 | 2012 | 23 | |
| 11 | 2009 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 2019 | 20 | |
| 14 | 2011 | 19 | |
| 15 | 2016 | 19 | |
| 16 | 2013 | 17 | |
| 17 | 2016 | 16 | |
| 18 | 2015 | 14 | |
| 19 | 2005 | 13 | |
| 20 | 2021 | 11 |
About S. Servagi-Vernat
S. Servagi-Vernat is a scholar working on Radiation, Otorhinolaryngology, Oncology, Cancer Research and Surgery, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (12 papers), Head and Neck Cancer Studies (10 papers), Colorectal Cancer Surgical Treatments (9 papers), Esophageal Cancer Research and Treatment (8 papers), Breast Cancer Treatment Studies (7 papers), Glioma Diagnosis and Treatment (4 papers), Medical Image Segmentation Techniques (3 papers) and Colorectal and Anal Carcinomas (3 papers). The work is most often cited by research in Cancer Research (194 citations), Radiation (120 citations), Otorhinolaryngology (75 citations), Geriatrics and Gerontology (34 citations) and Genetics (99 citations). S. Servagi-Vernat has collaborated with scholars based in France, United States and Türkiye. Frequent co-authors include P. Maingon, Anne Bol, John A. Lee, Daniel Labar, Vincent Grégoire, François‐Xavier Hanin, Philippe Giraud, Bernard Roullet, Jean‐Pierre Gérard and Christophe Hennequin. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Cancers, Drugs & Aging and European Journal of Cancer.
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.