Guy Charron

1.1k citations
21 papers · 664 · h-index 15

Impact in

Papers in

    • RNA Research and Splicing 3
    • Peroxisome Proliferator-Activated Receptors 3
    • Mitochondrial Function and Pathology 3
    • Metabolism, Diabetes, and Cancer 2
    • RNA Interference and Gene Delivery 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Animal Genetics and Reproduction 3

Guy Charron

21 papers receiving 652 citations

Peers

Guy Charron
Comparison fields: 5 of 88
  • Clinical Biochemistry 39
  • Biochemistry 37
  • Immunology 100
  • Molecular Biology 338
  • Physiology 104
Replace Valeria G. Antico Arciuch with:
Valeria G. Antico Arciuch Argentina
Timothy K. Gallaher United States
Alexandra Fischer Germany
Chris McDermott‐Roe United States
Christopher D. Kane United States
Ilaria Cicalini Italy
Rémi Palmantier Canada
Clemens Röhrl Austria
Cristina Mascaró Spain
Joo Hyun Lim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Guy Charron

Since Specialization
Citations

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

Fields of papers citing papers by Guy Charron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guy Charron, 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 Guy Charron Line = papers co-authored together Guy Charron 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 2003111
2 201884
3 201152
4 200450
5 201147
6 199245
7 201741
8 201436
9 199533
10 201426
11 200825
12 201125
13 199517
14 200116
15 201015
16 199312
17 199211
18 20228
19 20228
20 20181

About Guy Charron

Guy Charron is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Clinical Biochemistry, having authored 21 papers that have together received 664 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (3 papers), Metabolism and Genetic Disorders (3 papers), RNA Research and Splicing (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Mitochondrial Function and Pathology (3 papers), Metabolism, Diabetes, and Cancer (2 papers), RNA Interference and Gene Delivery (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Clinical Biochemistry (39 citations), Biochemistry (37 citations), Immunology (100 citations), Molecular Biology (338 citations) and Physiology (104 citations). Guy Charron has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Christine Des Rosiers, Denis deBlois, Mohamed Benderdour, Blandine Comte, Jean‐Pierre Julien, John D. Rioux, Sylvain Foisy, F. Labarthe, Bertrand Bouchard and Lucille Beaudet. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Journal of Biological Chemistry, Journal of Molecular and Cellular Cardiology, Obesity and Human Molecular Genetics.

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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