C. Evrard

565 citations
21 papers · 506 · h-index 12

Impact in

Papers in

    • RNA Interference and Gene Delivery 5
    • RNA Research and Splicing 5
    • Pluripotent Stem Cells Research 4
    • Ubiquitin and proteasome pathways 4
    • CRISPR and Genetic Engineering 2
    • Virus-based gene therapy research 7

C. Evrard

21 papers receiving 486 citations

Peers

C. Evrard
Comparison fields: 5 of 64
  • Developmental Neuroscience 113
  • Neurology 120
  • Cellular and Molecular Neuroscience 108
  • Immunology 102
  • Molecular Biology 278
Replace Cécile Goujet‐Zalc with:
Cécile Goujet‐Zalc France
Robert A. Lazzarini United States
Y. L. Lee United States
Stéphane Genoud United States
Jo Ann Berndt United States
Janet H. Sanchez United States
Patric A. Clapshaw Germany
Junji Nakao Japan
Philippe Casanova France
L. Frati Italy
C. Evrard relative to Cécile Goujet‐Zalc France Cécile Goujet‐Zalc's profile →
Citations per field
00.5×1.5×2×
Cécile Goujet‐Zalc · 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 199093
2 199776
3 199063
4 198641
5 198040
6 199035
7 200026
8 199824
9 199522
10 198819
11 199817
12 197417
13 20049
14 19937
15 20055
16 19923
17 19903
18 19952
19 19942
20 19981

About C. Evrard

C. Evrard is a scholar working on Molecular Biology, Genetics, Cell Biology, Oncology and Neurology, having authored 21 papers that have together received 506 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), RNA Interference and Gene Delivery (5 papers), RNA Research and Splicing (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 Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (113 citations), Neurology (120 citations), Cellular and Molecular Neuroscience (108 citations), Immunology (102 citations) and Molecular Biology (278 citations). C. Evrard has collaborated with scholars based in France. Frequent co-authors include Pierre Rouget, Eric Galiana, Clotilde Théry, Michel Mallat, Francois Xavier Gros, Edmond Dupont, Françoise Homo, Jacques Hatzfeld, Dominique Duval and Joël Prémont. Their work appears in journals such as Experimental Cell Research, Proceedings of the National Academy of Sciences, Molecular Endocrinology, Journal of Experimental Biology and Biochemical and Biophysical Research Communications.

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.

Explore authors with similar magnitude of impact