Philippe Chan
Impact in
- Biological Psychiatry top 10%
- Gastroenterology top 5%
- Gastrointestinal motility and disorders
Papers in
-
- Receptor Mechanisms and Signaling 4
- Gut microbiota and health 3
- Glycosylation and Glycoproteins Research 3
-
- Regulation of Appetite and Obesity 5
- 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)Jonathan Breton (3 shared papers)Sergueı̈ O. Fetissov (4 shared papers)
- Journals
- PROTEOMICS (3 papers)American Journal of Clinical Nutrition (2 papers)Biochemical Journal (2 papers)Journal of Neurochemistry (2 papers)Plant and Cell Physiology (1 paper)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Philippe Chan
44 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 111
- Biological Psychiatry 68
- Gastroenterology 95
- Neurology 141
- Endocrine and Autonomic Systems 105
- Molecular Biology 940
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 | 314 | |
| 2 | 2015 | 259 | |
| 3 | 2014 | 177 | |
| 4 | 2006 | 105 | |
| 5 | 2018 | 89 | |
| 6 | 2004 | 85 | |
| 7 | 2000 | 74 | |
| 8 | 2003 | 73 | |
| 9 | 2015 | 71 | |
| 10 | 1998 | 65 | |
| 11 | 2006 | 54 | |
| 12 | 1994 | 54 | |
| 13 | 1999 | 53 | |
| 14 | 1995 | 49 | |
| 15 | 2015 | 49 | |
| 16 | 2016 | 42 | |
| 17 | 1993 | 38 | |
| 18 | 2014 | 38 | |
| 19 | 2012 | 29 | |
| 20 | 2012 | 23 |
About Philippe Chan
Philippe Chan is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Cell Biology, Biotechnology and Oncology, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (5 papers), Neuropeptides and Animal Physiology (5 papers), Eating Disorders and Behaviors (4 papers), Receptor Mechanisms and Signaling (4 papers), Complement system in diseases (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Gut microbiota and health (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Biological Psychiatry (68 citations), Gastroenterology (95 citations), Neurology (141 citations), Endocrine and Autonomic Systems (105 citations) and Molecular Biology (940 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, Jonathan Breton, Sergueı̈ O. Fetissov, Naouel Tennoune and Alexis Goichon. Their work appears in journals such as PROTEOMICS, American Journal of Clinical Nutrition, Biochemical Journal, Journal of Neurochemistry and Plant and Cell Physiology.
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.