Kévin Ragot

874 citations
18 papers · 780 · h-index 15

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 6
    • Adipose Tissue and Metabolism 3
    • Diet and metabolism studies 2

Kévin Ragot

18 papers receiving 760 citations

Peers

Kévin Ragot
Comparison fields: 5 of 85
  • Geriatrics and Gerontology 51
  • Biochemistry 81
  • Clinical Biochemistry 54
  • Biochemistry 47
  • Molecular Biology 417
Replace Alíz Szabó with:
Alíz Szabó Hungary
Mi‐Hua Liu China
Beáta Lizák Hungary
Edina Bakondi Hungary
Brian M. Wiczer United States
Chhanda Bose United States
Michael J. Thomas United States
Hee‐Bum Kang South Korea
Ji Yong Jang South Korea
Md. Kaimul Ahsan United States
Kévin Ragot relative to Alíz Szabó Hungary Alíz Szabó's profile →
Citations per field
00.5×3.9×
Alíz Szabó · 1×
Citations per year

Countries citing papers authored by Kévin Ragot

Since Specialization
Citations

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

Fields of papers citing papers by Kévin Ragot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010100
2 201295
3 201668
4 201468
5 201366
6 201148
7 201144
8 201142
9 200939
10 201239
11 201339
12 201237
13 201134
14 201324
15 201122
16 20129
17 20145
18 20131

About Kévin Ragot

Kévin Ragot is a scholar working on Molecular Biology, Physiology, Surgery, Immunology and Pathology and Forensic Medicine, having authored 18 papers that have together received 780 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (6 papers), Cholesterol and Lipid Metabolism (4 papers), Adipose Tissue and Metabolism (3 papers), Metabolism and Genetic Disorders (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Alcohol Consumption and Health Effects (2 papers), Immune Response and Inflammation (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (51 citations), Biochemistry (81 citations), Clinical Biochemistry (54 citations), Biochemistry (47 citations) and Molecular Biology (417 citations). Kévin Ragot has collaborated with scholars based in France, Tunisia and Morocco. Frequent co-authors include Gérard Lizard, Dominique Delmas, Thomas Nury, Mauhamad Baarine, Jean‐Marc Riedinger, Anne Athias, Amira Zarrouk, Anne Véjux, Norbert Latruffe and Pierre Andreoletti. Their work appears in journals such as Molecular Nutrition & Food Research, Journal of Experimental Biology, Endocrinology, Biochemical Pharmacology and Environmental Toxicology.

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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