Frédéric Perraud

773 citations
12 papers · 519 · h-index 10

Impact in

Papers in

    • Fibroblast Growth Factor Research 3
    • CRISPR and Genetic Engineering 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Animal Genetics and Reproduction 4
    • Virus-based gene therapy research 4

Frédéric Perraud

12 papers receiving 502 citations

Peers

Frédéric Perraud
Comparison fields: 5 of 64
  • Developmental Neuroscience 153
  • Cellular and Molecular Neuroscience 158
  • Neurology 61
  • Molecular Biology 312
  • Hematology 50
Replace Nagisa Takemoto with:
Nagisa Takemoto Japan
M. Weibel France
G. Labourdette France
Zhongxian Jiao United States
C. Goujet‐Zalc France
Janet Sánchez United States
Valérie Besset France
Usha R. Reddy United States
Susan Haffke United States
H. W. Müller Germany
Frédéric Perraud relative to Nagisa Takemoto Japan Nagisa Takemoto's profile →
Citations per field
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Nagisa Takemoto · 1×
Citations per year

Countries citing papers authored by Frédéric Perraud

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Perraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1989122
2 198889
3 198778
4 199078
5 199046
6 199243
7 199019
8 199118
9 198912
10 199711
11 19992
12 19921

About Frédéric Perraud

Frédéric Perraud is a scholar working on Molecular Biology, Genetics, Hepatology, Developmental Neuroscience and Immunology, having authored 12 papers that have together received 519 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (4 papers), Virus-based gene therapy research (4 papers), Fibroblast Growth Factor Research (3 papers), Liver physiology and pathology (3 papers), CRISPR and Genetic Engineering (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (153 citations), Cellular and Molecular Neuroscience (158 citations), Neurology (61 citations), Molecular Biology (312 citations) and Hematology (50 citations). Frédéric Perraud has collaborated with scholars based in France, Sweden and Morocco. Frequent co-authors include G. Labourdette, M. Sensenbrenner, François Besnard, Brigitte Pettmann, Françoise Eclancher, Andréa Pavirani, Wilfried Dalemans, Thierry Janet, David A. Lawrence and Dalila Ali-Hadji. Their work appears in journals such as Glia, International Journal of Developmental Neuroscience, Biologicals, FEBS Letters and Journal of Cellular Physiology.

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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