Raphaël Bergès

963 citations
21 papers · 795 · h-index 14

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Microtubule and mitosis dynamics
    • Skin and Cellular Biology Research
    • Cellular Mechanics and Interactions

Papers in

    • Glycosylation and Glycoproteins Research 3
    • RNA Interference and Gene Delivery 3
    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 2
    • Microtubule and mitosis dynamics 10

Raphaël Bergès

20 papers receiving 787 citations

Peers

Raphaël Bergès
Comparison fields: 5 of 91
  • Developmental Neuroscience 75
  • Cell Biology 240
  • Genetics 106
  • Cellular and Molecular Neuroscience 129
  • Neurology 94
Replace Björn Tews with:
Björn Tews Germany
Anda‐Alexandra Calinescu United States
Denisa Jamecna France
Jinbin Zhai United States
Timothy R. Gershon United States
Aurora Lopez‐Rosas United States
Oscar M. J. A. Stassen Netherlands
Íñigo Casafont Spain
Evguenia Bekman Portugal
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Citations per field
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Björn Tews · 1×
Citations per year

Countries citing papers authored by Raphaël Bergès

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Raphaël Bergès Line = papers co-authored together Raphaël Bergès links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008277
2 200999
3 201363
4 201251
5 201241
6 201338
7 201929
8 201827
9 201324
10 201423
11 201222
12 201722
13 201621
14 202317
15 201113
16 202010
17 20238
18 20216
19 20122
20 20252

About Raphaël Bergès

Raphaël Bergès is a scholar working on Molecular Biology, Cell Biology, Oncology, Genetics and Cancer Research, having authored 21 papers that have together received 795 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Glioma Diagnosis and Treatment (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer Treatment and Pharmacology (3 papers), RNA Interference and Gene Delivery (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ubiquitin and proteasome pathways (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Developmental Neuroscience (75 citations), Cell Biology (240 citations), Genetics (106 citations), Cellular and Molecular Neuroscience (129 citations) and Neurology (94 citations). Raphaël Bergès has collaborated with scholars based in France, Switzerland and Netherlands. Frequent co-authors include Joël Eyer, Arnaud Bocquet, Rodolphe Perrot, Alan C. Peterson, Julien Balzeau, Diane Braguer, Stéphane Honoré, Ronald Frank, Dominique Figarella‐Branger and Aurélie Tchoghandjian. Their work appears in journals such as Oncotarget, PLoS ONE, Molecular Cancer Therapeutics, Molecular Therapy and Molecular Neurobiology.

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.

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