Sonia Verp
Impact in
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- CRISPR and Genetic Engineering 6
- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 2
- RNA Interference and Gene Delivery 2
- Genetics 7
- Virus-based gene therapy research 5
- Animal Genetics and Reproduction 3
- Co-authors
- Didier Trono (18 shared papers)Alberto De Iaco (2 shared papers)Julien Marquis (6 shared papers)Andrea Coluccio (1 shared paper)Evarist Planet (1 shared paper)Julien Duc (1 shared paper)Johan Jakobsson (2 shared papers)Isabelle Barde (13 shared papers)
- Journals
- Journal of Virology (2 papers)Development (2 papers)PLoS ONE (2 papers)Nature Genetics (1 paper)Gene Therapy (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Sonia Verp
19 papers receiving 1.9k citations
Sonia Verp's Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.6k
- Cancer Research 206
- Plant Science 405
- Genetics 108
- Developmental Neuroscience 40
Countries citing papers authored by Sonia Verp
This map shows the geographic impact of Sonia Verp'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 Sonia Verp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Verp more than expected).
Fields of papers citing papers by Sonia Verp
This network shows the impact of papers produced by Sonia Verp. 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 Sonia Verp. The network helps show where Sonia Verp may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonia Verp, 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 | KAP1 controls endogenous retroviruses in embryonic stem cells Hit paper breakdown → | 2010 | 638 |
| 2 | DUX-family transcription factors regulate zygotic genome activation in placental mammals Hit paper breakdown → | 2017 | 456 |
| 3 | 2012 | 169 | |
| 4 | 2013 | 132 | |
| 5 | 2013 | 93 | |
| 6 | 2019 | 78 | |
| 7 | 2008 | 77 | |
| 8 | 2011 | 70 | |
| 9 | 2007 | 69 | |
| 10 | 2011 | 39 | |
| 11 | 2010 | 30 | |
| 12 | 2010 | 25 | |
| 13 | 2009 | 24 | |
| 14 | 2008 | 20 | |
| 15 | 2012 | 14 | |
| 16 | 2011 | 13 | |
| 17 | 2011 | 10 | |
| 18 | 2014 | 2 | |
| 19 | 2014 | 2 |
About Sonia Verp
Sonia Verp is a scholar working on Molecular Biology, Genetics, Genetics, Cancer Research and Plant Science, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (5 papers), Virus-based gene therapy research (5 papers), Chromosomal and Genetic Variations (4 papers), Animal Genetics and Reproduction (3 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Cancer Research (206 citations), Plant Science (405 citations), Genetics (108 citations) and Developmental Neuroscience (40 citations). Sonia Verp has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Didier Trono, Alberto De Iaco, Julien Marquis, Andrea Coluccio, Evarist Planet, Julien Duc, Johan Jakobsson, Isabelle Barde, Daniel Mesnard and Tugce Uslu Aktas. Their work appears in journals such as Journal of Virology, Development, PLoS ONE, Nature Genetics and Gene Therapy.
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.