F. Perraud

416 citations
12 papers · 348 indexed · h-index 10

Impact in

Papers in

    • Neurogenesis and neuroplasticity mechanisms 3
    • Virus-based gene therapy research 5
    • Animal Genetics and Reproduction 1
    • Connective tissue disorders research 1

F. Perraud

12 papers receiving 341 citations

Peers

F. Perraud
Comparison fields: 5 of 56
  • Developmental Neuroscience 92
  • Neurology 42
  • Cellular and Molecular Neuroscience 73
  • Molecular Biology 244
  • Genetics 98
Replace Woosung Cho with:
Woosung Cho United States
Nagisa Takemoto Japan
NG Copeland United States
Israel Ben‐Dor Israel
Helen Kwan United States
L. Frati Italy
Jeanne Elia United States
Martijn Moransard Switzerland
Daniel Haag Germany
Jin-Sook Moon South Korea
F. Perraud relative to Woosung Cho United States Woosung Cho's profile →
Citations per field
00.5×1.5×
Woosung Cho · 1×
Citations per year

Countries citing papers authored by F. Perraud

Since Specialization
Citations

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

Fields of papers citing papers by F. Perraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Perraud, 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 F. Perraud Line = papers co-authored together F. Perraud links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 198780
2 198854
3 199049
4 200044
5 199029
6 199923
7 198817
8 199915
9
The promoter of the human cystic fibrosis transmembrane conductance regulator gene directing SV40 T antigen expression induces malignant proliferation of ependymal cells in transgenic mice.
199210
10 198810
11 19999
12
Neuronal-derived factors regulating glial cell proliferation and maturation.
19878

About F. Perraud

F. Perraud is a scholar working on Developmental Neuroscience, Genetics, Immunology and Allergy, Cancer Research and Neurology, having authored 12 papers that have together received 348 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), RNA Interference and Gene Delivery (2 papers), Muscle Physiology and Disorders (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Animal Genetics and Reproduction (1 paper), Connective tissue disorders research (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Developmental Neuroscience (92 citations), Neurology (42 citations), Cellular and Molecular Neuroscience (73 citations), Molecular Biology (244 citations) and Genetics (98 citations). F. Perraud has collaborated with scholars based in France and Netherlands. Frequent co-authors include M. Sensenbrenner, G. Labourdette, F. Besnard, Andréa Pavirani, Camille Loret, M Miehe, G. Labourdette, Dalila Ali-Hadji, Serge Braun and Wilfried Dalemans. Their work appears in journals such as Gene Therapy, Human Gene Therapy, The EMBO Journal, Journal of Neurocytology and Developmental Neuroscience.

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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