M. Terroir
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Nephrology top 10%
- Parathyroid Disorders and Treatments
Papers in
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- Thyroid Cancer Diagnosis and Treatment 11
- Pituitary Gland Disorders and Treatments 2
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- Radiomics and Machine Learning in Medical Imaging 3
- Radiation Dose and Imaging 2
- Co-authors
- Sophie Leboulleux (18 shared papers)Martin Jean Schlumberger (15 shared papers)Éric Baudin (12 shared papers)Désirèe Deandreis (12 shared papers)Séréna Grimaldi (6 shared papers)Dana M. Hartl (12 shared papers)Amandine Berdelou (9 shared papers)Caroline Caramella (3 shared papers)
In The Last Decade
M. Terroir
24 papers receiving 496 citations
Peers
Comparison fields: 5 of 35
- Endocrinology, Diabetes and Metabolism 245
- Nephrology 95
- Radiology, Nuclear Medicine and Imaging 100
- Surgery 121
- Oncology 70
Countries citing papers authored by M. Terroir
This map shows the geographic impact of M. Terroir'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 M. Terroir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Terroir more than expected).
Fields of papers citing papers by M. Terroir
This network shows the impact of papers produced by M. Terroir. 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 M. Terroir. The network helps show where M. Terroir may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Terroir, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 76 | |
| 2 | 2018 | 69 | |
| 3 | 2019 | 43 | |
| 4 | 2018 | 40 | |
| 5 | 2015 | 37 | |
| 6 | 2017 | 30 | |
| 7 | 2016 | 29 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2021 | 16 | |
| 13 | 2017 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2020 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2020 | 7 |
About M. Terroir
M. Terroir is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Oncology, Nephrology and Obstetrics and Gynecology, having authored 24 papers that have together received 504 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Lymphoma Diagnosis and Treatment (3 papers), Thyroid and Parathyroid Surgery (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Parathyroid Disorders and Treatments (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (245 citations), Nephrology (95 citations), Radiology, Nuclear Medicine and Imaging (100 citations), Surgery (121 citations) and Oncology (70 citations). M. Terroir has collaborated with scholars based in France, Italy and Belarus. Frequent co-authors include Sophie Leboulleux, Martin Jean Schlumberger, Éric Baudin, Désirèe Deandreis, Séréna Grimaldi, Dana M. Hartl, Amandine Berdelou, Caroline Caramella, Julien Hadoux and Abir Al Ghuzlan. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Thyroid, The Journal of Clinical Endocrinology & Metabolism, The Quarterly Journal of Nuclear Medicine and Molecular Imaging and Annals of Oncology.
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.