Chun‐Kit Yuen

1.1k citations
13 papers · 610 · h-index 11

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • interferon and immune responses

Papers in

    • interferon and immune responses 3
    • Immunotherapy and Immune Responses 1
    • Viral gastroenteritis research and epidemiology 3
    • SARS-CoV-2 and COVID-19 Research 3

Chun‐Kit Yuen

13 papers receiving 603 citations

Peers

Chun‐Kit Yuen
Comparison fields: 5 of 70
  • Infectious Diseases 395
  • Immunology 192
  • Animal Science and Zoology 67
  • Ceramics and Composites 25
  • Neurology 56
Replace Wan‐Man Wong with:
Wan‐Man Wong Hong Kong
Francisco J. Gutierrez-Alvarez Spain
Umut Karakus Switzerland
Enya Qing United States
Khadija Shahed Khan Hong Kong
Yawei Hu China
Wanju Zhang China
Rhys Pryce United Kingdom
Keiya Uriu Japan
Avneesh Gautam United States
Chun‐Kit Yuen relative to Wan‐Man Wong Hong Kong Wan‐Man Wong's profile →
Citations per field
00.5×1.5×
Wan‐Man Wong · 1×
Citations per year

Countries citing papers authored by Chun‐Kit Yuen

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Kit Yuen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Kit Yuen. 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 Chun‐Kit Yuen. The network helps show where Chun‐Kit Yuen may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2020382
2 202041
3 202041
4 201631
5 199722
6 199821
7 201920
8 201814
9 199812
10 199512
11 202310
12 20172
13 20232

About Chun‐Kit Yuen

Chun‐Kit Yuen is a scholar working on Immunology, Infectious Diseases, Mechanical Engineering, Materials Chemistry and Epidemiology, having authored 13 papers that have together received 610 indexed citations. Recurring topics across this work include Metallic Glasses and Amorphous Alloys (4 papers), Solidification and crystal growth phenomena (3 papers), interferon and immune responses (3 papers), Viral gastroenteritis research and epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Influenza Virus Research Studies (2 papers), Animal Virus Infections Studies (2 papers) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Infectious Diseases (395 citations), Immunology (192 citations), Animal Science and Zoology (67 citations), Ceramics and Composites (25 citations) and Neurology (56 citations). Chun‐Kit Yuen has collaborated with scholars based in Hong Kong, China and Italy. Frequent co-authors include Kin‐Hang Kok, Wan‐Man Wong, Kelvin Kai‐Wang To, Hin Chu, Xiaohui Wang, Dong‐Yan Jin, Jasper Fuk‐Woo Chan, Jian‐Piao Cai, Kwok-Yung Yuen and H. W. Kui. Their work appears in journals such as Emerging Microbes & Infections, Journal of materials research/Pratt's guide to venture capital sources, Nature Communications, The FASEB Journal and Vaccines.

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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