Jean Demarquoy
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders 20
- Physiology top 10%
- Diet and metabolism studies 8
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism 2
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- Mitochondrial Function and Pathology 11
- Peroxisome Proliferator-Activated Receptors 6
- Metabolomics and Mass Spectrometry Studies 3
- Gut microbiota and health 3
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- Virus-based gene therapy research 2
- Co-authors
- Françoise Le BorgneCaroline RigaultBéatrice GeorgesLuigi IulianoOlivier RouaudStéphane GallandGérard LizardMustapha Cherkaoui‐Malki
- Journals
- Biochemical Pharmacology (3 papers)Molecular and Cellular Biochemistry (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Jean Demarquoy
29 papers receiving 646 citations
Peers
Comparison fields: 5 of 85
- Clinical Biochemistry 247
- Physiology 214
- Biochemistry 53
- Molecular Biology 350
- Nutrition and Dietetics 70
Countries citing papers authored by Jean Demarquoy
This map shows the geographic impact of Jean Demarquoy'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 Jean Demarquoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Demarquoy more than expected).
Fields of papers citing papers by Jean Demarquoy
This network shows the impact of papers produced by Jean Demarquoy. 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 Jean Demarquoy. The network helps show where Jean Demarquoy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean Demarquoy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2018 | 15 | |
| 7 | 2017 | 20 | |
| 8 | 2012 | 40 | |
| 9 | 2012 | 26 | |
| 10 | 2011 | 41 | |
| 11 | 2008 | 1 | |
| 12 | 2007 | 16 | |
| 13 | 2007 | 31 | |
| 14 | 2006 | 35 | |
| 15 | 2000 | 32 | |
| 16 | 1998 | 27 | |
| 17 | 1996 | 18 | |
| 18 | 1995 | 8 | |
| 19 | 1995 | 41 | |
| 20 | 1993 | 5 |
About Jean Demarquoy
Jean Demarquoy is a scholar working on Clinical Biochemistry, Biochemistry, Physiology, Molecular Biology and Biotechnology, having authored 30 papers that have together received 662 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (20 papers), Mitochondrial Function and Pathology (11 papers), Diet and metabolism studies (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Gut microbiota and health (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Clinical Biochemistry (247 citations), Physiology (214 citations), Biochemistry (53 citations), Molecular Biology (350 citations) and Nutrition and Dietetics (70 citations). Jean Demarquoy has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Françoise Le Borgne, Caroline Rigault, Béatrice Georges, Luigi Iuliano, Olivier Rouaud, Stéphane Galland, Gérard Lizard, Mustapha Cherkaoui‐Malki, Maud Soty and Pierre Clouet. Their work appears in journals such as Biochemical Pharmacology, Molecular and Cellular Biochemistry, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Biochemical and Biophysical Research Communications and Human Gene Therapy.
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.