Aymeric Chartier

1.4k citations
23 papers · 1.0k · h-index 16

Impact in

Papers in

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

Aymeric Chartier

23 papers receiving 1.0k citations

Peers

Aymeric Chartier
Comparison fields: 5 of 67
  • Aging 55
  • Cellular and Molecular Neuroscience 250
  • Molecular Biology 851
  • Cell Biology 103
  • Genetics 55
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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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010134
2 200299
3 200298
4 200581
5 200680
6 199875
7 201366
8 201756
9 201552
10 200944
11 201743
12 202043
13 201138
14 201137
15 201527
16 200721
17
Heart tube patterning in Drosophila requires integration of axial and segmental information provided by the Bithorax Complex genes and hedgehog signaling
200211
18 20248
19 20128
20
Pericardin, a Drosophila type IV collagen-like protein is involved in the morphogenesis and maintenance of the heart epithelium during dorsal ectoderm closure
20027

About Aymeric Chartier

Aymeric Chartier is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Plant Science, Cell Biology and Immunology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Genetic Neurodegenerative Diseases (5 papers), CRISPR and Genetic Engineering (4 papers), Neurobiology and Insect Physiology Research (4 papers), Chromosomal and Genetic Variations (4 papers), Muscle Physiology and Disorders (3 papers), Genomics and Chromatin Dynamics (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Aging (55 citations), Cellular and Molecular Neuroscience (250 citations), Molecular Biology (851 citations), Cell Biology (103 citations) and Genetics (55 citations). Aymeric Chartier has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Martine Simonelig, Martine Astier, Michel Sémériva, Béatrice Benoit, Stéphane Zaffran, Patricia Rojas‐Ríos, Isabelle Busseau, Elmar Wahle, Stéphanie Pierson and Armel Gallet. Their work appears in journals such as Development, The EMBO Journal, Nature Communications, Developmental Cell and Stem 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.

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