Grégory Chevillard

456 citations
14 papers · 384 · h-index 11

Impact in

    • Peroxisome Proliferator-Activated Receptors
    • Genomics, phytochemicals, and oxidative stress
    • Metabolism, Diabetes, and Cancer
    • RNA modifications and cancer

Papers in

    • Peroxisome Proliferator-Activated Receptors 8
    • Metabolism, Diabetes, and Cancer 4
    • Genomics, phytochemicals, and oxidative stress 3
    • Cholesterol and Lipid Metabolism 2

Grégory Chevillard

14 papers receiving 380 citations

Peers

Grégory Chevillard
Comparison fields: 5 of 69
  • Molecular Biology 272
  • Cancer Research 48
  • Immunology 58
  • Clinical Biochemistry 18
  • Physiology 52
Replace Jiali Gao with:
Jiali Gao China
M Kitamura Japan
Hameda B. Hussain United States
Ming Yan China
Erez Hasnis Israel
Oh Kwang Kwon South Korea
Xiangxiao Li China
Tetsuhiro Horie Japan
Fabiola Sesti Italy
Akimasa Ichinoe Japan
Grégory Chevillard relative to Jiali Gao China Jiali Gao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Grégory Chevillard

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Chevillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201184
2 200742
3 201041
4 200735
5 201030
6 200428
7 200125
8 200423
9 200421
10 200921
11 201120
12 201010
13 20033
14 20031

About Grégory Chevillard

Grégory Chevillard is a scholar working on Molecular Biology, Surgery, Oncology, Epidemiology and Physiology, having authored 14 papers that have together received 384 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Adipose Tissue and Metabolism (3 papers), Cholesterol and Lipid Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Molecular Biology (272 citations), Cancer Research (48 citations), Immunology (58 citations), Clinical Biochemistry (18 citations) and Physiology (52 citations). Grégory Chevillard has collaborated with scholars based in France, Canada and Netherlands. Frequent co-authors include Volker Blank, Anna Derjuga, Marilène Paquet, Norbert Latruffe, Valérie Nicolas-Francès, Hans H. Zingg, Dominic Devost, Thierry Pineau, Pascal G.P. Martin and Leyla C. Ramirez. Their work appears in journals such as Biochimie, Advances in experimental medicine and biology, FEBS Letters, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and PPAR 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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