Ka‐Wai Cheung

1.5k citations
18 papers · 939 indexed · 1 hit paper · h-index 11
Topics
HIV Research and Treatment (8 papers)CAR-T cell therapy research (4 papers)Immune Cell Function and Interaction (4 papers)

In The Last Decade

Ka‐Wai Cheung

16 papers receiving 916 citations

Hit Papers

Anti–spike IgG causes severe acute lung injury by skewing...20192026202120232019100200300400500

Peers

Ka‐Wai Cheung
Comparison fields: 5 of 81
  • Infectious Diseases 535
  • Insect Science 184
  • Immunology 161
  • Neurology 142
  • Molecular Biology 140
Replace Joon‐Yong Bae with:
Joon‐Yong Bae South Korea
Madhu Khanna India
Zhongpeng Zhao China
Xiaodan Li China
Diego Allonso Brazil
Adriana M. Rauseo United States
Jennifer Hill United Kingdom
Kien Chai Ong Malaysia
Jürgen Held Germany
Teng Xu China
Ka‐Wai Cheung relative to Joon‐Yong Bae South Korea Joon‐Yong Bae's profile →
Citations per field
00.5×10×15×20.4×
Joon‐Yong Bae · 1×
Citations per year

Countries citing papers authored by Ka‐Wai Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Ka‐Wai Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka‐Wai Cheung. 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 Ka‐Wai Cheung. The network helps show where Ka‐Wai Cheung may publish in the future.

Co-authorship network of co-authors of Ka‐Wai Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Ka‐Wai Cheung. A scholar is included among the top collaborators of Ka‐Wai Cheung 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 Ka‐Wai Cheung. Ka‐Wai Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 9
5 5
6 8
7
Anti–spike IgG causes severe acute lung injury by skewing macrophage responses during acute SARS-CoV infectionbreakdown →
539
8 15
9 23
10 11
11 10
12 23
13 8
14 10
15 29
16 178
17 45
18 24

About Ka‐Wai Cheung

Ka‐Wai Cheung is a scholar working on Virology, Immunology and Infectious Diseases, having authored 18 papers that have together received 939 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), CAR-T cell therapy research (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Infectious Diseases (535 citations), Insect Science (184 citations) and Virology (66 citations). Ka‐Wai Cheung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Gcf Chan, Daniel Sze, Li Liu, Zhiwei Chen, Zhiwu Tan, Tongjin Wu, Kwok‐Yung Yuen, Kenji Nishiura, Haibo Wang and Qingqing Lin. Their work appears in journals such as Nature Communications, PLoS ONE and Cancer Research.

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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