Jacques Guyotat
- Genetics top 0.2%
- Glioma Diagnosis and Treatment 89
- Neurology top 1%
- Vascular Malformations Diagnosis and Treatment 19
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- Radiomics and Machine Learning in Medical Imaging 15
- MRI in cancer diagnosis 10
- Epidemiology top 2%
- Meningioma and schwannoma management 50
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- Brain Metastases and Treatment 15
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- Pituitary Gland Disorders and Treatments 12
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- Nanoplatforms for cancer theranostics 10
- Co-authors
- Anne JouvetLuc BauchetJérôme HonnoratLaurent CapellePhilippe MétellusJohan PalludFrancesco SignorelliDavid Meyronet
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Jacques Guyotat
141 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 2.3k
- Neurology 1.1k
- Radiology, Nuclear Medicine and Imaging 935
- Epidemiology 1.3k
- Pulmonary and Respiratory Medicine 826
Countries citing papers authored by Jacques Guyotat
This map shows the geographic impact of Jacques Guyotat'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 Jacques Guyotat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Guyotat more than expected).
Fields of papers citing papers by Jacques Guyotat
This network shows the impact of papers produced by Jacques Guyotat. 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 Jacques Guyotat. The network helps show where Jacques Guyotat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacques Guyotat, 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | Repeated blood–brain barrier opening with a nine-emitter implantable ultrasound device in combination with carboplatin in recurrent glioblastoma: a phase I/II clinical trialbreakdown → | 2024 | 54 |
| 4 | 2023 | 2 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 47 | |
| 10 | Machine learning-based prediction of glioma margin from 5-ALA induced PpIX fluorescence spectroscopy | 2020 | 1 |
| 11 | 2019 | 36 | |
| 12 | 2019 | 7 | |
| 13 | 2017 | 1 | |
| 14 | 2015 | 4 | |
| 15 | 2013 | 20 | |
| 16 | 2010 | 60 | |
| 17 | 2008 | 44 | |
| 18 | 2001 | 11 | |
| 19 | 2000 | 27 | |
| 20 | 1995 | 24 |
About Jacques Guyotat
Jacques Guyotat is a scholar working on Genetics, Neurology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 147 papers that have together received 3.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (89 papers), Meningioma and schwannoma management (50 papers), Vascular Malformations Diagnosis and Treatment (19 papers), Brain Metastases and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Pituitary Gland Disorders and Treatments (12 papers), MRI in cancer diagnosis (10 papers) and Nanoplatforms for cancer theranostics (10 papers). The work is most often cited by research in Genetics (2.3k citations), Neurology (1.1k citations), Radiology, Nuclear Medicine and Imaging (935 citations), Epidemiology (1.3k citations) and Pulmonary and Respiratory Medicine (826 citations). Jacques Guyotat has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Anne Jouvet, Luc Bauchet, Jérôme Honnorat, Laurent Capelle, Philippe Métellus, Johan Pallud, Francesco Signorelli, David Meyronet, P Bret and Emmanuel Jouanneau. Their work appears in journals such as Journal of Neuro-Oncology, Neuro-Oncology, Neurosurgery, Acta Neurochirurgica and Child s Nervous System.
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.