F. Perraud

417 citations
15 papers · 386 · h-index 10

Impact in

Papers in

F. Perraud

14 papers receiving 367 citations

Peers

F. Perraud
Comparison fields: 5 of 55
  • Developmental Neuroscience 106
  • Neurology 44
  • Cellular and Molecular Neuroscience 84
  • Molecular Biology 256
  • Genetics 96
Replace Woosung Cho with:
Woosung Cho United States
Nagisa Takemoto Japan
Rubing Xing United States
Israel Ben‐Dor Israel
C. Evrard France
Veronique van den Berghe Belgium
Martijn Moransard Switzerland
Ulrich Mangold Germany
Helen Kwan United States
Saïd Ghandour France
F. Perraud relative to Woosung Cho United States Woosung Cho's profile →
Citations per field
00.5×1.6×
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

15 of 15 papers shown
#Work
1 198787
2 198857
3 199051
4 200045
5 198931
6 199925
7 198820
8 199916
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.
199212
10 199911
11 198710
12 198810
13
Neuronal-derived factors regulating glial cell proliferation and maturation.
19879
14
[Aerosol administration of a replication defective recombinant adenovirus expressing normal human cDNA-CFTR in the respiratory tractus in patients with cystic fibrosis].
19962
15 19910

About F. Perraud

F. Perraud is a scholar working on Developmental Neuroscience, Genetics, Neurology, Molecular Biology and Cancer Research, having authored 15 papers that have together received 386 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Animal Genetics and Reproduction (2 papers), Muscle Physiology and Disorders (2 papers), Cancer-related gene regulation (2 papers), RNA Interference and Gene Delivery (2 papers), Cystic Fibrosis Research Advances (2 papers) and Delphi Technique in Research (1 paper). The work is most often cited by research in Developmental Neuroscience (106 citations), Neurology (44 citations), Cellular and Molecular Neuroscience (84 citations), Molecular Biology (256 citations) and Genetics (96 citations). F. Perraud has collaborated with scholars based in France and Netherlands. Frequent co-authors include Monique Sensenbrenner, Gérard Labourdette, F. Besnard, Andréa Pavirani, Camille Loret, Monique Miehe, G. Labourdette, Wilfried Dalemans, Françoise Eclancher and Dalila Ali-Hadji. Their work appears in journals such as Gene Therapy, Journal of Neurocytology, International Journal of Developmental Neuroscience, Developmental Neuroscience and FEBS Letters.

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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