Raphaël Guérois
Impact in
- Molecular Biology top 1%
- Protein Structure and Dynamics
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
- Cell Biology top 2%
Papers in
-
- DNA Repair Mechanisms 41
- Protein Structure and Dynamics 31
- RNA and protein synthesis mechanisms 18
- Genomics and Chromatin Dynamics 17
- CRISPR and Genetic Engineering 15
- Bioinformatics and Genomic Networks 11
- DNA and Nucleic Acid Chemistry 9
- Co-authors
- Luís SerranoJens Erik NielsenJessica AndréaniGuilhem FaureSimon FourquetDenis BiardMichel B. TolédanoKen Shirasu
- Journals
- Nucleic Acids Research (11 papers)Proceedings of the National Academy of Sciences (11 papers)Nature Communications (9 papers)Journal of Biological Chemistry (7 papers)Bioinformatics (5 papers)
- Partner nations
- FranceGermanySwitzerland
In The Last Decade
Raphaël Guérois
115 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 4.7k
- Cell Biology 631
- Plant Science 1.1k
- Computational Theory and Mathematics 304
- Genetics 509
Countries citing papers authored by Raphaël Guérois
This map shows the geographic impact of Raphaël Guérois'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 Raphaël Guérois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Guérois more than expected).
Fields of papers citing papers by Raphaël Guérois
This network shows the impact of papers produced by Raphaël Guérois. 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 Raphaël Guérois. The network helps show where Raphaël Guérois may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Guérois, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 45 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 17 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 23 | |
| 16 | 2019 | 94 | |
| 17 | 2019 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2016 | 27 | |
| 20 | 2005 | 111 |
About Raphaël Guérois
Raphaël Guérois is a scholar working on Molecular Biology, Endocrinology, Cell Biology, Virology and Genetics, having authored 117 papers that have together received 5.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (41 papers), Protein Structure and Dynamics (31 papers), RNA and protein synthesis mechanisms (18 papers), Genomics and Chromatin Dynamics (17 papers), CRISPR and Genetic Engineering (15 papers), Enzyme Structure and Function (14 papers), Bioinformatics and Genomic Networks (11 papers) and DNA and Nucleic Acid Chemistry (9 papers). The work is most often cited by research in Molecular Biology (4.7k citations), Cell Biology (631 citations), Plant Science (1.1k citations), Computational Theory and Mathematics (304 citations) and Genetics (509 citations). Raphaël Guérois has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Luís Serrano, Jens Erik Nielsen, Jessica Andréani, Guilhem Faure, Simon Fourquet, Denis Biard, Michel B. Tolédano, Ken Shirasu, Yasuhiro Kadota and Johannes Stuttmann. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Nature Communications, Journal of Biological Chemistry and Bioinformatics.
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.