Charlène Raclot

1.2k citations
10 papers · 472 indexed · h-index 6
    • Genomics and Chromatin Dynamics 5
    • RNA modifications and cancer 3
    • CRISPR and Genetic Engineering 2
    • Epigenetics and DNA Methylation 2
    • Lipid Membrane Structure and Behavior 2
    • RNA Research and Splicing 2
    • SARS-CoV-2 and COVID-19 Research 4
    • Chromosomal and Genetic Variations 2

Charlène Raclot

8 papers receiving 471 citations

Peers

Charlène Raclot
Comparison fields: 5 of 64
  • Molecular Biology 354
  • Infectious Diseases 92
  • Plant Science 160
  • Immunology 54
  • Genetics 68
Replace Solène Hervé with:
Solène Hervé France
Monica Ransom United States
Scott E. Diamond United States
Matthew Urbanowski Canada
Hilde Heller Germany
María José Lista United Kingdom
T S Su United States
Peter C. DeWeirdt United States
Matthias J Scherr Germany
Ki Young Paek South Korea
Charlène Raclot relative to Solène Hervé France Solène Hervé's profile →
Citations per field
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Citations per year

Countries citing papers authored by Charlène Raclot

Since Specialization
Citations

This map shows the geographic impact of Charlène Raclot'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 Charlène Raclot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charlène Raclot more than expected).

Fields of papers citing papers by Charlène Raclot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charlène Raclot. 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 Charlène Raclot. The network helps show where Charlène Raclot may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Charlène Raclot, 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 Charlène Raclot Line = papers co-authored together Charlène Raclot links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20251
2 20250
3 20220
4 202153
5 202191
6 20213
7 202044
8 201927
9 2014143
10 2012110

About Charlène Raclot

Charlène Raclot is a scholar working on Infectious Diseases, Molecular Biology and Neurology, having authored 10 papers that have together received 472 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (2 papers), Chromosomal and Genetic Variations (2 papers), Epigenetics and DNA Methylation (2 papers), Lipid Membrane Structure and Behavior (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (354 citations), Infectious Diseases (92 citations) and Plant Science (160 citations). Charlène Raclot has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Didier Trono, Priscilla Turelli, Simon Quenneville, Adamandia Kapopoulou, Julien Duc, Vannary Tieng, Flavia Marzetta, Sandra Offner, Karolina Bojkowska and Tom Gallagher. Their work appears in journals such as Science Translational Medicine, Cell Genomics, Cell Reports, Journal of Molecular Biology and Science Advances.

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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