Clément Chapat

941 citations
13 papers · 488 · h-index 11

Impact in

    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • RNA regulation and disease

Papers in

    • 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
    • interferon and immune responses 4

Clément Chapat

12 papers receiving 484 citations

Peers

Clément Chapat
Comparison fields: 5 of 63
  • Molecular Biology 416
  • Aging 10
  • Cancer Research 83
  • Reproductive Medicine 31
  • Immunology 54
Replace Pei Zhou with:
Pei Zhou China
Sibylle Mitschka United States
Sandra S. de Vries Netherlands
Ounissa Aït‐Ahmed France
Alexandra Andrieux France
Wilson McKerrow United States
Brook Pyhtila United States
Tracy L. Kress United States
Dipankar Bhandari Germany
Daron Barnard United States
Clément Chapat relative to Pei Zhou China Pei Zhou's profile →
Citations per field
00.5×1.5×2.1×
Pei Zhou · 1×
Citations per year

Countries citing papers authored by Clément Chapat

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Clément Chapat Line = papers co-authored together Clément Chapat links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2017162
2 201779
3 201943
4 201840
5 200638
6 201325
7 202124
8 201621
9 201418
10 202216
11 202312
12 201710
13 20250

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 488 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), MicroRNA in disease regulation (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Molecular Biology (416 citations), Aging (10 citations), Cancer Research (83 citations), Reproductive Medicine (31 citations) and Immunology (54 citations). Clément Chapat has collaborated with scholars based in France, Canada and Israel. Frequent co-authors include Nahum Sonenberg, Seyed Mehdi Jafarnejad, Marc Graille, Thomas Tuschl, Aitor Garzia, Pavel Morozov, Tasos Gogakos, Henrik Molina, Mehdi Amiri and Cindy Meyer. Their work appears in journals such as Nucleic Acids Research, iScience, The EMBO Journal, Wiley Interdisciplinary Reviews - RNA 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.

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