Philippe Chan
Impact in
- Immunology top 10%
- Complement system in diseases
- Immune Response and Inflammation
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Peripheral Neuropathies and Disorders
Papers in
- Immunology 10
- Complement system in diseases 6
- Toxin Mechanisms and Immunotoxins 2
- Co-authors
- Marc Fontaine (7 shared papers)A. Ischenko (4 shared papers)Philippe Gasque (7 shared papers)Tiphaine Monsinjon (2 shared papers)Jennifer J. Brady (1 shared paper)B. Paul Morgan (2 shared papers)M. Lamacz (1 shared paper)Otto Götze (1 shared paper)
- Journals
- Molecular Immunology (2 papers)The Journal of Immunology (2 papers)Journal of Molecular Cell Biology (1 paper)The FASEB Journal (1 paper)Marine Pollution Bulletin (1 paper)
- Partner nations
- FranceUnited KingdomRussia
In The Last Decade
Philippe Chan
28 papers receiving 703 citations
Peers
Comparison fields: 5 of 88
- Immunology 342
- Neurology 111
- Physiology 49
- Transplantation 16
- Hematology 58
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 212 | |
| 2 | 1995 | 149 | |
| 3 | 2003 | 44 | |
| 4 | 2017 | 36 | |
| 5 | 2018 | 31 | |
| 6 | 1997 | 27 | |
| 7 | 2020 | 22 | |
| 8 | 2007 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2015 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2015 | 14 | |
| 14 | 2012 | 14 | |
| 15 | 2006 | 13 | |
| 16 | 2018 | 10 | |
| 17 | 2016 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 7 |
About Philippe Chan
Philippe Chan is a scholar working on Immunology, Molecular Biology, Ecology, Health, Toxicology and Mutagenesis and Neurology, having authored 28 papers that have together received 710 indexed citations. Recurring topics across this work include Complement system in diseases (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Environmental Toxicology and Ecotoxicology (4 papers), Marine Biology and Environmental Chemistry (3 papers), Marine Bivalve and Aquaculture Studies (3 papers), Physiological and biochemical adaptations (3 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Immunology (342 citations), Neurology (111 citations), Physiology (49 citations), Transplantation (16 citations) and Hematology (58 citations). Philippe Chan has collaborated with scholars based in France, United Kingdom and Russia. Frequent co-authors include Marc Fontaine, A. Ischenko, Philippe Gasque, Tiphaine Monsinjon, Jennifer J. Brady, B. Paul Morgan, M. Lamacz, Otto Götze, David Vaudry and Pietro Ghezzi. Their work appears in journals such as Molecular Immunology, The Journal of Immunology, Journal of Molecular Cell Biology, The FASEB Journal and Marine Pollution Bulletin.
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.