Chris Mok

838 citations
9 papers · 501 · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • interferon and immune responses
    • Immune Response and Inflammation

Papers in

    • Influenza Virus Research Studies 4
    • interferon and immune responses 3
    • Immune Response and Inflammation 2

Chris Mok

9 papers receiving 486 citations

Peers

Chris Mok
Comparison fields: 5 of 65
  • Infectious Diseases 223
  • Immunology 173
  • Epidemiology 180
  • Animal Science and Zoology 47
  • Neurology 60
Replace Ivette A. Nuñez with:
Ivette A. Nuñez United States
Soner Yildiz Switzerland
Lasata Shrestha United States
Wanju Zhang China
Michaela Praus Germany
Keiya Uriu Japan
Raveen Rathnasinghe United States
Vikas Peddu United States
Seyed Mohammad Miri Iran
Yoriyuki Konno Japan
Chris Mok relative to Ivette A. Nuñez United States Ivette A. Nuñez's profile →
Citations per field
00.5×2.7×
Ivette A. Nuñez · 1×
Citations per year

Countries citing papers authored by Chris Mok

Since Specialization
Citations

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

Fields of papers citing papers by Chris Mok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2020148
2 2005121
3 202354
4 202051
5 201441
6 201734
7 201419
8 202217
9 202316

About Chris Mok

Chris Mok is a scholar working on Epidemiology, Immunology, Infectious Diseases, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 9 papers that have together received 501 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), interferon and immune responses (3 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Immune Response and Inflammation (2 papers), SARS-CoV-2 detection and testing (2 papers), Obesity and Health Practices (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Infectious Diseases (223 citations), Immunology (173 citations), Epidemiology (180 citations), Animal Science and Zoology (47 citations) and Neurology (60 citations). Chris Mok has collaborated with scholars based in Hong Kong, China and France. Frequent co-authors include Malik Peiris, Leo L. M. Poon, Sophie A. Valkenburg, Anna H.Y. Law, Chung Yan Cheung, Alex W. H. Chin, Owen TY Tsang, Asmaa Hachim, Niloufar Kavian and Ranawaka A. P. M. Perera. Their work appears in journals such as Nature Communications, Cell Reports, Journal of Biological Chemistry, Nature Immunology and Virology.

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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