François Ducray
Impact in
Papers in
- Co-authors
- Jean‐Yves Delattre (39 shared papers)Ahmed Idbaïh (53 shared papers)Khê Hoang‐Xuan (23 shared papers)Jérôme Honnorat (72 shared papers)Karima Mokhtari (29 shared papers)Damien Ricard (12 shared papers)Marc Sanson (41 shared papers)M. Lahutte (1 shared paper)
- Journals
- Neuro-Oncology (26 papers)Journal of Neuro-Oncology (17 papers)Journal of Clinical Oncology (13 papers)Neurology (12 papers)Journal of Neurology (9 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
François Ducray
194 papers receiving 6.3k citations
François Ducray's Hit Papers
Peers
Comparison fields: 5 of 121
- Genetics 3.1k
- Neurology 1.9k
- Cancer Research 934
- Pulmonary and Respiratory Medicine 872
- Structural Biology 38
Countries citing papers authored by François Ducray
This map shows the geographic impact of François Ducray'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 François Ducray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Ducray more than expected).
Fields of papers citing papers by François Ducray
This network shows the impact of papers produced by François Ducray. 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 François Ducray. The network helps show where François Ducray may publish in the future.
Co-authors
The 25 scholars most cited alongside François Ducray, 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 210 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Isocitrate Dehydrogenase 1 Codon 132 Mutation Is an Important Prognostic Biomarker in Gliomas Hit paper breakdown → | 2009 | 776 |
| 2 | Primary brain tumours in adults Hit paper breakdown → | 2012 | 734 |
| 3 | 2016 | 194 | |
| 4 | 2019 | 179 | |
| 5 | 2014 | 178 | |
| 6 | 2011 | 160 | |
| 7 | 2008 | 131 | |
| 8 | 2019 | 130 | |
| 9 | 2016 | 126 | |
| 10 | 2016 | 120 | |
| 11 | 2015 | 100 | |
| 12 | 2012 | 99 | |
| 13 | 2020 | 99 | |
| 14 | 2010 | 98 | |
| 15 | 2015 | 95 | |
| 16 | 2019 | 87 | |
| 17 | 2012 | 84 | |
| 18 | 2016 | 83 | |
| 19 | 2016 | 78 | |
| 20 | 2011 | 76 |
About François Ducray
François Ducray is a scholar working on Genetics, Neurology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 210 papers that have together received 6.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (125 papers), Autoimmune Neurological Disorders and Treatments (28 papers), Brain Metastases and Treatment (23 papers), Meningioma and schwannoma management (17 papers), Cancer, Hypoxia, and Metabolism (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Neuroblastoma Research and Treatments (11 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Genetics (3.1k citations), Neurology (1.9k citations), Cancer Research (934 citations), Pulmonary and Respiratory Medicine (872 citations) and Structural Biology (38 citations). François Ducray has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Jean‐Yves Delattre, Ahmed Idbaïh, Khê Hoang‐Xuan, Jérôme Honnorat, Karima Mokhtari, Damien Ricard, Marc Sanson, M. Lahutte, Véronique Rogemond and Yannick Marie. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, Journal of Clinical Oncology, Neurology and Journal of Neurology.
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.