Chris Chan

1.0k total citations
11 papers, 834 citations indexed

About

Chris Chan is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Chris Chan has authored 11 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Chris Chan's work include SARS-CoV-2 and COVID-19 Research (6 papers), Influenza Virus Research Studies (6 papers) and Respiratory viral infections research (5 papers). Chris Chan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Influenza Virus Research Studies (6 papers) and Respiratory viral infections research (5 papers). Chris Chan collaborates with scholars based in Hong Kong, United States and China. Chris Chan's co-authors include Guangyu Zhao, Bo‐Jian Zheng, Yongping Lin, Shibo Jiang, Lanying Du, Kwok‐Yung Yuen, Yusen Zhou, Dong‐Yan Jin, Yuxian He and Honglin Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Chris Chan

11 papers receiving 814 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Chan Hong Kong 9 450 402 301 174 120 11 834
Anurodh Shankar Agrawal United States 19 397 0.9× 1.1k 2.7× 251 0.8× 308 1.8× 268 2.2× 23 1.6k
Bi-Hung Peng United States 15 207 0.5× 743 1.8× 164 0.5× 171 1.0× 227 1.9× 20 1.1k
Lisa A. Lopez United States 9 240 0.5× 331 0.8× 140 0.5× 150 0.9× 76 0.6× 11 671
Jennifer DeBeauchamp United States 19 564 1.3× 293 0.7× 284 0.9× 282 1.6× 45 0.4× 33 938
Makoto Ujike Japan 16 295 0.7× 724 1.8× 106 0.4× 184 1.1× 291 2.4× 32 1.1k
Thomas Julien France 14 323 0.7× 333 0.8× 105 0.3× 183 1.1× 32 0.3× 23 695
François Kien Hong Kong 10 201 0.4× 917 2.3× 189 0.6× 274 1.6× 242 2.0× 13 1.2k
Ulrik Fahnøe Denmark 17 303 0.7× 494 1.2× 71 0.2× 184 1.1× 154 1.3× 71 1.0k
Natalie M. Kirk United States 9 187 0.4× 299 0.7× 132 0.4× 189 1.1× 36 0.3× 15 572
Chi-Jene Chen Taiwan 15 661 1.5× 256 0.6× 357 1.2× 373 2.1× 48 0.4× 18 1.2k

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-authorship network of co-authors of Chris Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Chan. A scholar is included among the top collaborators of Chris Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Chan. Chris Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Zhu, Linyi, Weifeng Lin, Monika Kluzek, et al.. (2025). Liposomic lubricants suppress acute inflammatory gene regulation in the joint in vivo. Acta Biomaterialia. 198. 366–376. 3 indexed citations
2.
Tiruthani, Karthik, Jasper Fuk‐Woo Chan, Alice Ma, et al.. (2024). Engineering a “muco‐trapping” ACE2 ‐immunoglobulin hybrid with picomolar affinity as an inhaled, pan‐variant immunotherapy for COVID ‐19. Bioengineering & Translational Medicine. 9(4). e10650–e10650. 3 indexed citations
3.
Liu, Shuwen, Runming Li, Ruitao Zhang, et al.. (2011). CL-385319 inhibits H5N1 avian influenza A virus infection by blocking viral entry. European Journal of Pharmacology. 660(2-3). 460–467. 64 indexed citations
4.
Du, Lanying, Xiujuan Zhang, Jie Zhou, et al.. (2011). A Recombinant Vaccine of H5N1 HA1 Fused with Foldon and Human IgG Fc Induced Complete Cross-Clade Protection against Divergent H5N1 Viruses. PLoS ONE. 6(1). e16555–e16555. 37 indexed citations
5.
Du, Lanying, Guangyu Zhao, Chris Chan, et al.. (2010). A 219-mer CHO-Expressing Receptor-Binding Domain of SARS-CoV S Protein Induces Potent Immune Responses and Protective Immunity. Viral Immunology. 23(2). 211–219. 38 indexed citations
6.
Chan, Kwok‐Hung, Jinxia Zhang, Kelvin Kai‐Wang To, et al.. (2010). Wild Type and Mutant 2009 Pandemic Influenza A (H1N1) Viruses Cause More Severe Disease and Higher Mortality in Pregnant BALB/c Mice. PLoS ONE. 5(10). e13757–e13757. 68 indexed citations
7.
Zhao, Guangyu, Yongping Lin, Lanying Du, et al.. (2010). An M2e-based multiple antigenic peptide vaccine protects mice from lethal challenge with divergent H5N1 influenza viruses. Virology Journal. 7(1). 9–9. 78 indexed citations
9.
Zheng, Bo‐Jian, Kwok‐Wah Chan, Yongping Lin, et al.. (2008). Delayed antiviral plus immunomodulator treatment still reduces mortality in mice infected by high inoculum of influenza A/H5N1 virus. Proceedings of the National Academy of Sciences. 105(23). 8091–8096. 265 indexed citations

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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