C. Evrard

563 citations
21 papers · 480 · h-index 12

Impact in

Papers in

    • RNA Research and Splicing 5
    • RNA Interference and Gene Delivery 5
    • Pluripotent Stem Cells Research 4
    • Ubiquitin and proteasome pathways 4
    • CRISPR and Genetic Engineering 2
    • Virus-based gene therapy research 6

C. Evrard

21 papers receiving 472 citations

Peers

C. Evrard
Comparison fields: 5 of 67
  • Developmental Neuroscience 107
  • Neurology 119
  • Cellular and Molecular Neuroscience 101
  • Immunology 98
  • Molecular Biology 276
Replace Terra J. Frederick with:
Terra J. Frederick United States
April Kemper United States
Suwen Wei Japan
C. Goujet‐Zalc France
Brigitte Schultze Germany
Scott E. LeBlanc United States
Stéphane Genoud United States
Jo Ann Berndt United States
Usha R. Reddy United States
Monika Kott Germany
C. Evrard relative to Terra J. Frederick United States Terra J. Frederick's profile →
Citations per field
00.5×1.5×1.9×
Terra J. Frederick · 1×
Citations per year

Countries citing papers authored by C. Evrard

Since Specialization
Citations

This map shows the geographic impact of C. Evrard'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 C. Evrard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Evrard more than expected).

Fields of papers citing papers by C. Evrard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Evrard. 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 C. Evrard. The network helps show where C. Evrard may publish in the future.

Co-authors

The 25 scholars most cited alongside C. Evrard, 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 C. Evrard Line = papers co-authored together C. Evrard 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 199086
2 199774
3 199056
4 198640
5 198037
6 199035
7 200026
8 199824
9 199521
10 198819
11 199817
12 197415
13 20048
14 19936
15 19943
16 20053
17
[Identification of NPDC-1, gene involved in the control of proliferation and differentiation of neural and glial precursors].
19973
18 19903
19 19952
20 19841

About C. Evrard

C. Evrard is a scholar working on Molecular Biology, Genetics, Oncology, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 480 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), RNA Research and Splicing (5 papers), RNA Interference and Gene Delivery (5 papers), Pluripotent Stem Cells Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (3 papers), CRISPR and Genetic Engineering (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Developmental Neuroscience (107 citations), Neurology (119 citations), Cellular and Molecular Neuroscience (101 citations), Immunology (98 citations) and Molecular Biology (276 citations). C. Evrard has collaborated with scholars based in France. Frequent co-authors include Pierre Rouget, Eric Galiana, Clotilde Théry, Michel Mallat, François Gros, Edmond Dupont, Dominique Duval, Jacques Hatzfeld, F. Homo and Jeannine Osty. Their work appears in journals such as Experimental Cell Research, Proceedings of the National Academy of Sciences, Gene, The EMBO Journal and Journal of Experimental Biology.

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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