Raphaël Bergès
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Skin and Cellular Biology Research
- Cellular Mechanics and Interactions
Papers in
- Cell Biology 10
- Microtubule and mitosis dynamics 9
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- Glycosylation and Glycoproteins Research 3
- Protein Degradation and Inhibitors 3
- RNA Interference and Gene Delivery 3
- Co-authors
- Joël Eyer (6 shared papers)Arnaud Bocquet (2 shared papers)Rodolphe Perrot (1 shared paper)Alan C. Peterson (2 shared papers)Diane Braguer (9 shared papers)Julien C. Balzeau (3 shared papers)Stéphane Honoré (8 shared papers)Ronald Frank (1 shared paper)
- Journals
- Oncotarget (3 papers)PLoS ONE (2 papers)Neoplasia (1 paper)Neuro-Oncology (1 paper)Molecular Therapy (1 paper)
- Partner nations
- FranceSwitzerlandAustralia
In The Last Decade
Raphaël Bergès
21 papers receiving 818 citations
Peers
Comparison fields: 5 of 93
- Developmental Neuroscience 75
- Cell Biology 246
- Genetics 111
- Cellular and Molecular Neuroscience 127
- Neurology 94
Countries citing papers authored by Raphaël Bergès
This map shows the geographic impact of Raphaël Bergès'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 Raphaël Bergès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Bergès more than expected).
Fields of papers citing papers by Raphaël Bergès
This network shows the impact of papers produced by Raphaël Bergès. 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 Raphaël Bergès. The network helps show where Raphaël Bergès may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Bergès, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 278 | |
| 2 | 2009 | 101 | |
| 3 | 2013 | 63 | |
| 4 | 2012 | 51 | |
| 5 | 2013 | 41 | |
| 6 | 2012 | 41 | |
| 7 | 2019 | 30 | |
| 8 | 2018 | 27 | |
| 9 | 2014 | 25 | |
| 10 | 2013 | 25 | |
| 11 | 2016 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2012 | 22 | |
| 14 | 2023 | 20 | |
| 15 | 2023 | 13 | |
| 16 | 2011 | 13 | |
| 17 | 2020 | 11 | |
| 18 | 2023 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2025 | 3 |
About Raphaël Bergès
Raphaël Bergès is a scholar working on Cell Biology, Molecular Biology, Genetics, Cancer Research and Oncology, having authored 21 papers that have together received 827 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (9 papers), Glioma Diagnosis and Treatment (4 papers), Glycosylation and Glycoproteins Research (3 papers), Protein Degradation and Inhibitors (3 papers), RNA Interference and Gene Delivery (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer Research and Treatments (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Developmental Neuroscience (75 citations), Cell Biology (246 citations), Genetics (111 citations), Cellular and Molecular Neuroscience (127 citations) and Neurology (94 citations). Raphaël Bergès has collaborated with scholars based in France, Switzerland and Australia. Frequent co-authors include Joël Eyer, Arnaud Bocquet, Rodolphe Perrot, Alan C. Peterson, Diane Braguer, Julien C. Balzeau, Stéphane Honoré, Ronald Frank, Dominique Figarella‐Branger and Aurélie Tchoghandjian. Their work appears in journals such as Oncotarget, PLoS ONE, Neoplasia, Neuro-Oncology and Molecular Therapy.
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.