Philippe Chan

880 citations
28 papers · 742 · h-index 14

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

    • Complement system in diseases 6
    • Toxin Mechanisms and Immunotoxins 2
    • Neuroinflammation and Neurodegeneration Mechanisms 4

Philippe Chan

28 papers receiving 732 citations

Peers

Philippe Chan
Comparison fields: 5 of 88
  • Immunology 350
  • Neurology 115
  • Physiology 55
  • Transplantation 16
  • Hematology 57
Replace Hongmei Fu with:
Hongmei Fu China
Michaela Schäfer Germany
Hanoch Slor Israel
Conghui Guo Canada
Régine Roubin France
Gábor Koncz Hungary
Jiexia Quan United States
Carole Doré Canada
Laura Ciudad Spain
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Citations per field
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Hongmei Fu · 1×
Citations per year

Countries citing papers authored by Philippe Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Philippe Chan Line = papers co-authored together Philippe Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003215
2 1995153
3 200346
4 201740
5 201831
6 199728
7 202022
8 201720
9 200719
10 202218
11 201517
12 201617
13 201216
14 201516
15 200612
16 201811
17 202210
18 20169
19 20229
20 20148

About Philippe Chan

Philippe Chan is a scholar working on Immunology, Neurology, Health, Toxicology and Mutagenesis, Ocean Engineering and Ecology, having authored 28 papers that have together received 742 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), Physiological and biochemical adaptations (3 papers), Marine Biology and Environmental Chemistry (3 papers), Marine Bivalve and Aquaculture Studies (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 (350 citations), Neurology (115 citations), Physiology (55 citations), Transplantation (16 citations) and Hematology (57 citations). Philippe Chan has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Marc Fontaine, Alexander M. Ischenko, Philippe Gasque, Tiphaine Monsinjon, Jennifer J. Brady, B. Paul Morgan, MAREK LAMACZ, Otto Götze, David Vaudry and Pietro Ghezzi. Their work appears in journals such as Molecular Immunology, The Journal of Immunology, Antioxidants and Redox Signaling, Marine Pollution Bulletin and Clinical 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.

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