Jacques Pairault
- Biochemistry top 1%
- Lipid metabolism and biosynthesis 8
- Physiology top 2%
- Adipose Tissue and Metabolism 28
- Behavioral Neuroscience top 10%
- Animal Science and Zoology top 5%
- Pharmacological Effects and Assays 6
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- Adipokines, Inflammation, and Metabolic Diseases 11
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- Receptor Mechanisms and Signaling 10
- Retinoids in leukemia and cellular processes 4
- Peroxisome Proliferator-Activated Receptors 4
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- Estrogen and related hormone effects 4
- Co-authors
- Bruno FèveFrançoise LasnierHoward GreenMarthe MoldesF. LasnierMarguerite LucasSylvain BaulandeLaurent J. Emorine
- Journals
- Journal of Biological Chemistry (9 papers)European Journal of Biochemistry (5 papers)FEBS Letters (3 papers)
- Partner nations
- FranceUnited StatesMorocco
In The Last Decade
Jacques Pairault
46 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 91
- Biochemistry 300
- Physiology 922
- Endocrine and Autonomic Systems 132
- Behavioral Neuroscience 64
- Animal Science and Zoology 176
Countries citing papers authored by Jacques Pairault
This map shows the geographic impact of Jacques Pairault'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 Jacques Pairault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Pairault more than expected).
Fields of papers citing papers by Jacques Pairault
This network shows the impact of papers produced by Jacques Pairault. 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 Jacques Pairault. The network helps show where Jacques Pairault may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacques Pairault, 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 | 2001 | 90 | |
| 2 | 1999 | 78 | |
| 3 | 1997 | 65 | |
| 4 | 1997 | 28 | |
| 5 | 1996 | 8 | |
| 6 | 1996 | 17 | |
| 7 | 1994 | 7 | |
| 8 | 1994 | 24 | |
| 9 | 1992 | 25 | |
| 10 | 1992 | 69 | |
| 11 | 1991 | 28 | |
| 12 | 1991 | 105 | |
| 13 | 1991 | 57 | |
| 14 | 1990 | 30 | |
| 15 | 1989 | 11 | |
| 16 | 1988 | 26 | |
| 17 | 1988 | 16 | |
| 18 | 1987 | 12 | |
| 19 | 1987 | 52 | |
| 20 | 1978 | 9 |
About Jacques Pairault
Jacques Pairault is a scholar working on Biochemistry, Physiology, Animal Science and Zoology, Aging and Behavioral Neuroscience, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (28 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Receptor Mechanisms and Signaling (10 papers), Lipid metabolism and biosynthesis (8 papers), Pharmacological Effects and Assays (6 papers), Estrogen and related hormone effects (4 papers), Retinoids in leukemia and cellular processes (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Biochemistry (300 citations), Physiology (922 citations), Endocrine and Autonomic Systems (132 citations), Behavioral Neuroscience (64 citations) and Animal Science and Zoology (176 citations). Jacques Pairault has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Bruno Fève, Françoise Lasnier, Howard Green, Marthe Moldes, F. Lasnier, Marguerite Lucas, Sylvain Baulande, Laurent J. Emorine, M H Laudat and Khadija El Hadri. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, FEBS Letters, Biochemical Journal and Biology of the Cell.
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.