Séverine Chambeyron
- Aging top 5%
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 13
- Genomics and Phylogenetic Studies 8
- RNA and protein synthesis mechanisms 6
- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 3
- Plant Science top 5%
- Chromosomal and Genetic Variations 21
- Plant Virus Research Studies 4
- Genetics top 10%
- Co-authors
- Wendy A. BickmoreAlain PélissonBruno MugatKirstie A. LawsonAlain BuchetonChristine BrunThomas GrentzingerClaudia Armenise
- Cited by
- AgingMolecular BiologyPlant Science
- Journals
- Nucleic Acids Research (3 papers)Genome biology (2 papers)Molecular Genetics and Genomics (1 paper)
- Partner nations
- FranceUnited KingdomSpain
In The Last Decade
Séverine Chambeyron
30 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Aging 41
- Molecular Biology 1.4k
- Plant Science 661
- Genetics 264
- Cancer Research 90
Countries citing papers authored by Séverine Chambeyron
This map shows the geographic impact of Séverine Chambeyron'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 Séverine Chambeyron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Séverine Chambeyron more than expected).
Fields of papers citing papers by Séverine Chambeyron
This network shows the impact of papers produced by Séverine Chambeyron. 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 Séverine Chambeyron. The network helps show where Séverine Chambeyron may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Séverine Chambeyron, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 16 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 28 | |
| 6 | 2017 | 25 | |
| 7 | 2017 | 55 | |
| 8 | 2017 | 23 | |
| 9 | 2015 | 98 | |
| 10 | 2015 | 18 | |
| 11 | 2014 | 11 | |
| 12 | 2013 | 8 | |
| 13 | 2013 | 42 | |
| 14 | 2013 | 4 | |
| 15 | 2005 | 170 | |
| 16 | 2005 | 19 | |
| 17 | Chromatin decondensation and nuclear reorganization of the HoxB locus upon induction of transcriptionbreakdown → | 2004 | 509 |
| 18 | 2004 | 13 | |
| 19 | 2004 | 95 | |
| 20 | 2002 | 23 |
About Séverine Chambeyron
Séverine Chambeyron is a scholar working on Plant Science, Aging, Molecular Biology, Cell Biology and Agronomy and Crop Science, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (21 papers), CRISPR and Genetic Engineering (13 papers), Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (6 papers), Plant Virus Research Studies (4 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Aging (41 citations), Molecular Biology (1.4k citations), Plant Science (661 citations), Genetics (264 citations) and Cancer Research (90 citations). Séverine Chambeyron has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Wendy A. Bickmore, Alain Pélisson, Bruno Mugat, Kirstie A. Lawson, Alain Bucheton, Christine Brun, Thomas Grentzinger, Claudia Armenise, Bridlin Barckmann and Vincent Serrano. Their work appears in journals such as Nucleic Acids Research, Genome biology, Molecular Genetics and Genomics, Scientific Reports and Nature Communications.
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.