Valérie Layet
- Genetics top 5%
- Genomic variations and chromosomal abnormalities 4
- Genetic and Kidney Cyst Diseases 3
- BRCA gene mutations in cancer 2
- Cancer Research top 10%
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- Hedgehog Signaling Pathway Studies 2
- PI3K/AKT/mTOR signaling in cancer 2
- Pathology and Forensic Medicine top 10%
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- Skin and Cellular Biology Research 3
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- Glycogen Storage Diseases and Myoclonus 2
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- Fetal and Pediatric Neurological Disorders 2
- Co-authors
- Catherine DugastThierry FrébourgMichel LongySophie KriegerAntoine RousselinPascaline BerthetAgnès HardouinBrigitte Gilbert‐Dussardier
- Journals
- The American Journal of Human Genetics (1 paper)Human Reproduction (1 paper)Journal of Medical Genetics (2 papers)
- Partner nations
- FranceNetherlandsBelgium
In The Last Decade
Valérie Layet
21 papers receiving 914 citations
Peers
Comparison fields: 5 of 69
- Genetics 513
- Cancer Research 165
- Molecular Biology 506
- Pathology and Forensic Medicine 132
- Developmental Neuroscience 21
Countries citing papers authored by Valérie Layet
This map shows the geographic impact of Valérie Layet'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 Valérie Layet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valérie Layet more than expected).
Fields of papers citing papers by Valérie Layet
This network shows the impact of papers produced by Valérie Layet. 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 Valérie Layet. The network helps show where Valérie Layet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Valérie Layet, 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 | 2018 | 4 | |
| 2 | 2017 | 23 | |
| 3 | 2016 | 0 | |
| 4 | 2014 | 175 | |
| 5 | 2014 | 29 | |
| 6 | 2013 | 225 | |
| 7 | 2013 | 6 | |
| 8 | 2013 | 25 | |
| 9 | 2012 | 9 | |
| 10 | 2011 | 19 | |
| 11 | 2010 | 107 | |
| 12 | 2009 | 83 | |
| 13 | 2008 | 89 | |
| 14 | 2007 | 31 | |
| 15 | 2006 | 27 | |
| 16 | 2006 | 13 | |
| 17 | 2005 | 8 | |
| 18 | 2004 | 33 | |
| 19 | 1999 | 4 | |
| 20 | 1998 | 3 |
About Valérie Layet
Valérie Layet is a scholar working on Genetics, Cell Biology and Molecular Biology, having authored 22 papers that have together received 925 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Skin and Cellular Biology Research (3 papers), Genetic and Kidney Cyst Diseases (3 papers), Glycogen Storage Diseases and Myoclonus (2 papers), Hedgehog Signaling Pathway Studies (2 papers), BRCA gene mutations in cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Genetics (513 citations), Cancer Research (165 citations) and Molecular Biology (506 citations). Valérie Layet has collaborated with scholars based in France, Netherlands and Belgium. Frequent co-authors include Catherine Dugast, Thierry Frébourg, Michel Longy, Sophie Krieger, Antoine Rousselin, Pascaline Berthet, Agnès Hardouin, Brigitte Gilbert‐Dussardier, Albert David and Emmanuelle Barouk-Simonet. Their work appears in journals such as The American Journal of Human Genetics, Human Reproduction and Journal of Medical Genetics.
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.