Philippe Chan
Impact in
- Biological Psychiatry top 5%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in ⓘ
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- Regulation of Appetite and Obesity 5
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- Muscle metabolism and nutrition 3
- Co-authors
- David Vaudry (25 shared papers)Jean‐Philippe Salier (4 shared papers)Marc Fontaine (5 shared papers)Pierre Déchelotte (13 shared papers)Hubert Vaudry (5 shared papers)Romain Legrand (5 shared papers)A. Goichon (10 shared papers)J. Breton (3 shared papers)
- Journals
- PROTEOMICS (3 papers)American Journal of Clinical Nutrition (2 papers)Journal of Neurochemistry (2 papers)Biochemical Journal (2 papers)Comparative Biochemistry and Physiology Part D Genomics and Proteomics (1 paper)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Philippe Chan
43 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Biological Psychiatry 70
- Neurology 157
- Gastroenterology 95
- Endocrine and Autonomic Systems 107
- Physiology 364
Countries citing papers authored by Philippe Chan
This map shows the geographic impact of Philippe Chan'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 Philippe Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Chan more than expected).
Fields of papers citing papers by Philippe Chan
This network shows the impact of papers produced by Philippe Chan. 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 Philippe Chan. The network helps show where Philippe Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 288 | |
| 2 | 2015 | 242 | |
| 3 | 2014 | 153 | |
| 4 | 2006 | 103 | |
| 5 | 2004 | 81 | |
| 6 | 2018 | 76 | |
| 7 | 2000 | 69 | |
| 8 | 2015 | 69 | |
| 9 | 2003 | 65 | |
| 10 | 1998 | 65 | |
| 11 | 2006 | 52 | |
| 12 | 1994 | 51 | |
| 13 | 1995 | 48 | |
| 14 | 1999 | 44 | |
| 15 | 2016 | 41 | |
| 16 | 2015 | 40 | |
| 17 | 1993 | 37 | |
| 18 | 2014 | 36 | |
| 19 | 2012 | 27 | |
| 20 | 1993 | 23 |
About Philippe Chan
Philippe Chan is a scholar working on Endocrine and Autonomic Systems, Cell Biology, Biotechnology, Physiology and Molecular Biology, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diet and metabolism studies (6 papers), Eating Disorders and Behaviors (5 papers), Neuropeptides and Animal Physiology (5 papers), Regulation of Appetite and Obesity (5 papers), Receptor Mechanisms and Signaling (4 papers), Hypothalamic control of reproductive hormones (3 papers), Redox biology and oxidative stress (3 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Biological Psychiatry (70 citations), Neurology (157 citations), Gastroenterology (95 citations), Endocrine and Autonomic Systems (107 citations) and Physiology (364 citations). Philippe Chan has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include David Vaudry, Jean‐Philippe Salier, Marc Fontaine, Pierre Déchelotte, Hubert Vaudry, Romain Legrand, A. Goichon, J. Breton, Sergueı̈ O. Fetissov and Naouel Tennoune. Their work appears in journals such as PROTEOMICS, American Journal of Clinical Nutrition, Journal of Neurochemistry, Biochemical Journal and Comparative Biochemistry and Physiology Part D Genomics and Proteomics.
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.