Clément Chapat
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- RNA regulation and disease
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 9
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 3
- RNA regulation and disease 3
- RNA Interference and Gene Delivery 2
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- interferon and immune responses 4
- Co-authors
- Nahum Sonenberg (5 shared papers)Seyed Mehdi Jafarnejad (4 shared papers)Marc Graille (2 shared papers)Thomas Tuschl (2 shared papers)Aitor Garzia (2 shared papers)Cindy Meyer (1 shared paper)Henrik Molina (1 shared paper)Mehdi Amiri (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Nature Communications (1 paper)iScience (1 paper)Molecular Cell (1 paper)Cell Reports (1 paper)
- Partner nations
- FranceCanadaUnited Kingdom
In The Last Decade
Clément Chapat
12 papers receiving 500 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 413
- Cancer Research 79
- Aging 10
- Reproductive Medicine 31
- Immunology 54
Countries citing papers authored by Clément Chapat
This map shows the geographic impact of Clément Chapat'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 Chapat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clément Chapat more than expected).
Fields of papers citing papers by Clément Chapat
This network shows the impact of papers produced by Clément Chapat. 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 Chapat. The network helps show where Clément Chapat may publish in the future.
Co-authors
The 25 scholars most cited alongside Clément Chapat, 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 | 2017 | 167 | |
| 2 | 2017 | 82 | |
| 3 | 2019 | 43 | |
| 4 | 2018 | 41 | |
| 5 | 2006 | 38 | |
| 6 | 2013 | 26 | |
| 7 | 2021 | 25 | |
| 8 | 2016 | 21 | |
| 9 | 2014 | 19 | |
| 10 | 2022 | 17 | |
| 11 | 2023 | 13 | |
| 12 | 2017 | 11 | |
| 13 | 2025 | 0 |
About Clément Chapat
Clément Chapat is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Surgery, having authored 13 papers that have together received 503 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (6 papers), interferon and immune responses (4 papers), RNA modifications and cancer (3 papers), RNA regulation and disease (3 papers), RNA Interference and Gene Delivery (2 papers), MicroRNA in disease regulation (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Molecular Biology (413 citations), Cancer Research (79 citations), Aging (10 citations), Reproductive Medicine (31 citations) and Immunology (54 citations). Clément Chapat has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Nahum Sonenberg, Seyed Mehdi Jafarnejad, Marc Graille, Thomas Tuschl, Aitor Garzia, Cindy Meyer, Henrik Molina, Mehdi Amiri, Pavel Morozov and Tasos Gogakos. Their work appears in journals such as Nucleic Acids Research, Nature Communications, iScience, Molecular Cell and Cell Reports.
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.