Clément Charenton
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- Cancer-related gene regulation
- CRISPR and Genetic Engineering
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- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 10
- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 6
- Fungal and yeast genetics research 2
- Nuclear Structure and Function 1
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- Viral Infections and Immunology Research 1
- Co-authors
- Kiyoshi Nagai (3 shared papers)Max E. Wilkinson (2 shared papers)Clemens Plaschka (1 shared paper)Pei-Chun Lin (1 shared paper)Marc Graille (5 shared papers)Bertrand Séraphin (4 shared papers)Valério Taverniti (3 shared papers)Zaineb Fourati (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Annual Review of Biochemistry (1 paper)Nature (1 paper)PLoS Biology (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- FranceUnited KingdomAustria
In The Last Decade
Clément Charenton
10 papers receiving 884 citations
Clément Charenton's Hit Papers
Peers
Comparison fields: 5 of 64
- Molecular Biology 814
- Cancer Research 72
- Structural Biology 5
- Aging 5
- Genetics 22
Countries citing papers authored by Clément Charenton
This map shows the geographic impact of Clément Charenton'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 Clément Charenton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clément Charenton more than expected).
Fields of papers citing papers by Clément Charenton
This network shows the impact of papers produced by Clément Charenton. 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 Clément Charenton. The network helps show where Clément Charenton may publish in the future.
Co-authors
The 25 scholars most cited alongside Clément Charenton, 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 | RNA Splicing by the Spliceosome Hit paper breakdown → | 2019 | 455 |
| 2 | 2018 | 124 | |
| 3 | 2019 | 119 | |
| 4 | 2016 | 43 | |
| 5 | 2017 | 38 | |
| 6 | 2016 | 33 | |
| 7 | 2014 | 31 | |
| 8 | 2018 | 28 | |
| 9 | 2014 | 12 | |
| 10 | 2020 | 5 |
About Clément Charenton
Clément Charenton is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Organic Chemistry and Surgery, having authored 10 papers that have together received 888 indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (6 papers), Fungal and yeast genetics research (2 papers), Viral Infections and Immunology Research (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Molecular Biology (814 citations), Cancer Research (72 citations), Structural Biology (5 citations), Aging (5 citations) and Genetics (22 citations). Clément Charenton has collaborated with scholars based in France, United Kingdom and Austria. Frequent co-authors include Kiyoshi Nagai, Max E. Wilkinson, Clemens Plaschka, Pei-Chun Lin, Marc Graille, Bertrand Séraphin, Valério Taverniti, Zaineb Fourati, Olga Kolesnikova and Claudio A.P. Joazeiro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annual Review of Biochemistry, Nature, PLoS Biology and Nature Structural & Molecular Biology.
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.