Aymeric Chartier

1.3k citations
21 papers · 990 · h-index 16

Impact in

Papers in

    • RNA Research and Splicing 10
    • CRISPR and Genetic Engineering 4
    • Developmental Biology and Gene Regulation 3
    • RNA and protein synthesis mechanisms 3
    • Muscle Physiology and Disorders 3
    • Genomics and Chromatin Dynamics 3
    • Genetic Neurodegenerative Diseases 5

Aymeric Chartier

21 papers receiving 979 citations

Peers

Aymeric Chartier
Comparison fields: 5 of 65
  • Aging 49
  • Cellular and Molecular Neuroscience 227
  • Molecular Biology 817
  • Cell Biology 101
  • Genetics 54
Replace Gogineni Ranganayakulu with:
Gogineni Ranganayakulu United States
Paola N. Perrat United States
Carolina N. Perdigoto United States
Léonard Rabinow United States
Philippe Ramain France
Armel Gallet France
Natalia Tulina United States
Vafa Bayat United States
Fernando Roch France
Gregory J. Fisk United States
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Citations per field
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Citations per year

Countries citing papers authored by Aymeric Chartier

Since Specialization
Citations

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

Fields of papers citing papers by Aymeric Chartier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010135
2 200291
3 200287
4 200583
5 200679
6 199878
7 201366
8 201755
9 201546
10 200942
11 202041
12 201741
13 201138
14 201133
15 201525
16 200720
17 20128
18 20246
19 20236
20 20225

About Aymeric Chartier

Aymeric Chartier is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Cell Biology and Immunology, having authored 21 papers that have together received 990 indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Genetic Neurodegenerative Diseases (5 papers), Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (4 papers), Developmental Biology and Gene Regulation (3 papers), RNA and protein synthesis mechanisms (3 papers), Muscle Physiology and Disorders (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Aging (49 citations), Cellular and Molecular Neuroscience (227 citations), Molecular Biology (817 citations), Cell Biology (101 citations) and Genetics (54 citations). Aymeric Chartier has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Martine Simonelig, Michel Sémériva, Martine Astier, Béatrice Benoit, Stéphane Zaffran, Patricia Rojas‐Ríos, Elmar Wahle, Isabelle Busseau, Stéphanie Pierson and Andrea Sinz. Their work appears in journals such as Development, Nature Communications, Developmental Cell, The EMBO Journal and Cell Research.

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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