Frédéric Charron
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 21
- Cellular and Molecular Neuroscience top 0.5%
- Axon Guidance and Neuronal Signaling 37
- Nerve injury and regeneration 6
- Neurology top 1%
- Molecular Biology top 1%
- Hedgehog Signaling Pathway Studies 27
- Developmental Biology and Gene Regulation 15
- Epigenetics and DNA Methylation 8
- Signaling Pathways in Disease 5
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications 8
- Co-authors
- Marc Tessier‐LavigneMona NemerPatricia T. YamSteves MorinAndrew P. McMahonGeorges NemerPierre J. FabreJuhee Jeong
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Frédéric Charron
65 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Developmental Neuroscience 1.0k
- Cellular and Molecular Neuroscience 1.9k
- Neurology 567
- Molecular Biology 4.3k
- Cell Biology 801
Countries citing papers authored by Frédéric Charron
This map shows the geographic impact of Frédéric Charron'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 Charron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Charron more than expected).
Fields of papers citing papers by Frédéric Charron
This network shows the impact of papers produced by Frédéric Charron. 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 Charron. The network helps show where Frédéric Charron may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frédéric Charron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 11 | |
| 4 | Heterozygous Dcc mutant mice have a subtle locomotor phenotype | 2022 | 3 |
| 5 | 2019 | 16 | |
| 6 | 2019 | 28 | |
| 7 | 2019 | 40 | |
| 8 | 2018 | 12 | |
| 9 | 2017 | 35 | |
| 10 | 2016 | 202 | |
| 11 | 2014 | 44 | |
| 12 | 2011 | 34 | |
| 13 | 2010 | 128 | |
| 14 | 2010 | 33 | |
| 15 | 2009 | 221 | |
| 16 | 2008 | 56 | |
| 17 | 2008 | 27 | |
| 18 | The Morphogen Sonic Hedgehog Is an Axonal Chemoattractant that Collaborates with Netrin-1 in Midline Axon Guidancebreakdown → | 2003 | 527 |
| 19 | 2003 | 313 | |
| 20 | 2001 | 198 |
About Frédéric Charron
Frédéric Charron is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cell Biology, having authored 67 papers that have together received 6.0k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (37 papers), Hedgehog Signaling Pathway Studies (27 papers), Neurogenesis and neuroplasticity mechanisms (21 papers), Developmental Biology and Gene Regulation (15 papers), Zebrafish Biomedical Research Applications (8 papers), Epigenetics and DNA Methylation (8 papers), Nerve injury and regeneration (6 papers) and Signaling Pathways in Disease (5 papers). The work is most often cited by research in Developmental Neuroscience (1.0k citations), Cellular and Molecular Neuroscience (1.9k citations) and Neurology (567 citations). Frédéric Charron has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Marc Tessier‐Lavigne, Mona Nemer, Patricia T. Yam, Steves Morin, Andrew P. McMahon, Georges Nemer, Pierre J. Fabre, Juhee Jeong, Elke Stein and Lynda Robitaille. Their work appears in journals such as Development, Neuron, Journal of Neuroscience, Developmental Cell and Cell.
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.