Chris Chan

1.0k citations
11 papers · 864 · h-index 10

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Influenza Virus Research Studies 6
    • Respiratory viral infections research 3
    • SARS-CoV-2 and COVID-19 Research 5
    • Viral gastroenteritis research and epidemiology 2
    • COVID-19 Clinical Research Studies 2

Chris Chan

11 papers receiving 843 citations

Peers

Chris Chan
Comparison fields: 5 of 75
  • Infectious Diseases 380
  • Epidemiology 427
  • Immunology 269
  • Animal Science and Zoology 118
  • Agronomy and Crop Science 40
Replace Summer E. Galloway with:
Summer E. Galloway United States
Jessica A. Flynn United States
Anurodh Shankar Agrawal United States
Yo Han Jang South Korea
François Kien Hong Kong
Natalie M. Kirk United States
Edin Mifsud Australia
Kazuhiko Kanou Japan
Makoto Ujike Japan
Roberto Zenteno‐Cuevas Mexico
Chris Chan relative to Summer E. Galloway United States Summer E. Galloway's profile →
Citations per field
00.5×3.3×
Summer E. Galloway · 1×
Citations per year

Countries citing papers authored by Chris Chan

Since Specialization
Citations

This map shows the geographic impact of Chris 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 Chris Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Chan more than expected).

Fields of papers citing papers by Chris Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris 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 Chris Chan. The network helps show where Chris Chan may publish in the future.

Co-authors

The 25 scholars most cited alongside Chris 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 Chris Chan Line = papers co-authored together Chris Chan links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2008270
2 2008114
3 2009101
4 201081
5 200871
6 201070
7 201164
8 201041
9 201138
10 202510
11 20244

About Chris Chan

Chris Chan is a scholar working on Epidemiology, Infectious Diseases, Immunology, Animal Science and Zoology and Surgery, having authored 11 papers that have together received 864 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Respiratory viral infections research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 Clinical Research Studies (2 papers), Immune Response and Inflammation (2 papers), Animal Virus Infections Studies (2 papers) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (380 citations), Epidemiology (427 citations), Immunology (269 citations), Animal Science and Zoology (118 citations) and Agronomy and Crop Science (40 citations). Chris Chan has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Guangyu Zhao, Bo‐Jian Zheng, Yongping Lin, Lanying Du, Shibo Jiang, Kwok‐Yung Yuen, Yusen Zhou, Dong‐Yan Jin, Yuxian He and Patrick C. Y. Woo. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Virology Journal, Acta Biomaterialia and Proceedings of the National Academy of Sciences.

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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