Chris Chan

1.0k citations
11 papers · 834 indexed · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
  • Immunology top 10%
    • Immune Response and Inflammation
    • interferon and immune responses

Papers in

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

Chris Chan

11 papers receiving 814 citations

Peers

Chris Chan
Comparison fields: 5 of 72
  • Infectious Diseases 402
  • Immunology 301
  • Epidemiology 450
  • Animal Science and Zoology 120
  • Agronomy and Crop Science 47
Replace Jennifer DeBeauchamp with:
Jennifer DeBeauchamp United States
Ulrik Fahnøe Denmark
Natalie M. Kirk United States
Bi-Hung Peng United States
Kazuhiko Kanou Japan
Makoto Ujike Japan
Anurodh Shankar Agrawal United States
François Kien Hong Kong
Chi-Jene Chen Taiwan
Julien Sourimant United States
Chris Chan relative to Jennifer DeBeauchamp United States Jennifer DeBeauchamp's profile →
Citations per field
00.5×2.7×
Jennifer DeBeauchamp · 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 2008265
2 2008109
3 2009100
4 201078
5 200869
6 201068
7 201164
8 201038
9 201137
10 20253
11 20243

About Chris Chan

Chris Chan is a scholar working on Infectious Diseases, Epidemiology, Animal Science and Zoology, Immunology and Agronomy and Crop Science, having authored 11 papers that have together received 834 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Respiratory viral infections research (5 papers), Animal Virus Infections Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Immune Response and Inflammation (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Infectious Diseases (402 citations), Immunology (301 citations), Epidemiology (450 citations), Animal Science and Zoology (120 citations) and Agronomy and Crop Science (47 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 Honglin Chen. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Acta Biomaterialia, Virology Journal and Vaccine.

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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