Ka‐Wai Cheung

1.5k total citations · 1 hit paper
18 papers, 939 citations indexed

About

Ka‐Wai Cheung is a scholar working on Virology, Immunology and Infectious Diseases. According to data from OpenAlex, Ka‐Wai Cheung has authored 18 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 8 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Ka‐Wai Cheung's work include HIV Research and Treatment (8 papers), CAR-T cell therapy research (4 papers) and Immune Cell Function and Interaction (4 papers). Ka‐Wai Cheung is often cited by papers focused on HIV Research and Treatment (8 papers), CAR-T cell therapy research (4 papers) and Immune Cell Function and Interaction (4 papers). Ka‐Wai Cheung collaborates with scholars based in Hong Kong, China and United States. Ka‐Wai Cheung's co-authors include Daniel Sze, Gcf Chan, Li Liu, Zhiwei Chen, Zhiwu Tan, Kwok‐Yung Yuen, Tongjin Wu, Kenji Nishiura, Haibo Wang and Kwok‐Hung Chan and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Ka‐Wai Cheung

16 papers receiving 916 citations

Hit Papers

Anti–spike IgG causes severe acute lung injury by skewing... 2019 2026 2021 2023 2019 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Anti–spike IgG causes severe acute lung injury by skewing macrophage responses during acute SARS-CoV infection
    2019 539 citations Li Liu, Qiang Wei et al. JCI Insight profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ka‐Wai Cheung Hong Kong 11 535 184 161 142 140 18 939
Madhu Khanna India 18 354 0.7× 21 0.1× 161 1.0× 22 0.2× 277 2.0× 64 1.1k
G Sridharan India 16 147 0.3× 9 0.0× 59 0.4× 26 0.2× 120 0.9× 39 605
Diego Allonso Brazil 14 256 0.5× 34 0.2× 95 0.6× 10 0.1× 101 0.7× 30 559
Joon‐Yong Bae South Korea 18 395 0.7× 9 0.0× 135 0.8× 17 0.1× 209 1.5× 61 907
Charléric Bornet France 15 210 0.4× 5 0.0× 58 0.4× 78 0.5× 174 1.2× 20 849
Camila Figueiredo Pinzan Brazil 11 189 0.4× 7 0.0× 98 0.6× 37 0.3× 199 1.4× 24 563
Janeusa Trindade de Souto Brazil 18 241 0.5× 12 0.1× 283 1.8× 22 0.2× 167 1.2× 27 1.1k
Salvador Fonseca-Coronado Mexico 12 108 0.2× 32 0.2× 65 0.4× 8 0.1× 52 0.4× 34 387
Zhongpeng Zhao China 16 458 0.9× 7 0.0× 231 1.4× 107 0.8× 183 1.3× 50 1.0k
Jürgen Held Germany 18 570 1.1× 15 0.1× 120 0.7× 9 0.1× 163 1.2× 54 1.1k

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
1.
Zeming, Kerwin Kwek, Ka‐Wai Cheung, Elizabeth Lee, et al.. (2025). Cell trajectory modulation: rapid microfluidic biophysical profiling of CAR T cell functional phenotypes. Nature Communications. 16(1). 4775–4775.
2.
Zeming, Kerwin Kwek, Elizabeth Lee, Ka‐Wai Cheung, et al.. (2025). Ex vivo single‐cell profiling of acute myocardial infarction patients reveals disproportionate CD66b + cell secretion response. Bioengineering & Translational Medicine. 10(6). e70043–e70043.
3.
Cheung, Ka‐Wai, Elizabeth Lee, Shir Lynn Lim, et al.. (2024). iSECRETE: Integrating Microfluidics and DNA Proximity Amplification for Synchronous Single‐Cell Activation and IFN‐γ Secretion Profiling. Advanced Science. 11(40). e2309920–e2309920. 2 indexed citations
4.
Mo, Yufei, Xiaofan Lu, Jinlin Wang, et al.. (2023). Transforming Growth Factor β Signaling Promotes HIV-1 Infection in Activated and Resting Memory CD4 + T Cells. Journal of Virology. 97(5). e0027023–e0027023. 9 indexed citations
5.
Wong, Yik Chun, Liu Wan, Xin Li, et al.. (2021). Sustained viremia suppression by SHIVSF162P3CN-recalled effector-memory CD8+ T cells after PD1-based vaccination. PLoS Pathogens. 17(6). e1009647–e1009647. 5 indexed citations
6.
Ling, Lijun, Tongjin Wu, Kelvin Kai‐Wang To, et al.. (2019). Vedolizumab-mediated integrin α4β7 blockade does not control HIV-1SF162 rebound after combination antiretroviral therapy interruption in humanized mice. AIDS. 33(4). F1–F12. 8 indexed citations
7.
Liu, Li, Qiang Wei, Qingqing Lin, et al.. (2019). Anti–spike IgG causes severe acute lung injury by skewing macrophage responses during acute SARS-CoV infection. JCI Insight. 4(4). 539 indexed citations breakdown →
8.
Chen, Zhiwei, Zhiwei Chen, Li Liu, et al.. (2018). Surging HIV‐1 CRF07_BC epidemic among recently infected men who have sex with men in Fujian, China. Journal of Medical Virology. 90(7). 1210–1221. 15 indexed citations
9.
Tan, Zhiwu, Li Liu, Ka‐Wai Cheung, et al.. (2018). Virotherapy-recruited PMN-MDSC infiltration of mesothelioma blocks antitumor CTL by IL-10-mediated dendritic cell suppression. OncoImmunology. 8(1). e1518672–e1518672. 23 indexed citations
10.
11.
12.
Wu, Xilin, Li Liu, Ka‐Wai Cheung, et al.. (2016). Brain Invasion by CD4+ T Cells Infected with a Transmitted/Founder HIV-1BJZS7 During Acute Stage in Humanized Mice. Journal of Neuroimmune Pharmacology. 11(3). 572–583. 23 indexed citations
13.
Liu, Li, Haibo Wang, Jerry C. C. Chan, et al.. (2015). Community-Based HIV-1 Early Diagnosis and Risk Behavior Analysis of Men Having Sex with Men in Hong Kong. PLoS ONE. 10(4). e0125715–e0125715. 8 indexed citations
14.
15.
Tan, Zhiwu, Jingying Zhou, Allen Ka Loon Cheung, et al.. (2014). Vaccine-Elicited CD8+ T Cells Cure Mesothelioma by Overcoming Tumor-Induced Immunosuppressive Environment. Cancer Research. 74(21). 6010–6021. 29 indexed citations
16.
Chan, Gcf, Ka‐Wai Cheung, & Daniel Sze. (2012). The Immunomodulatory and Anticancer Properties of Propolis. Clinical Reviews in Allergy & Immunology. 44(3). 262–273. 178 indexed citations
17.
Cheung, Ka‐Wai, Daniel Sze, Wing Keung Chan, et al.. (2011). Brazilian green propolis and its constituent, Artepillin C inhibits allogeneic activated human CD4 T cells expansion and activation. Journal of Ethnopharmacology. 138(2). 463–471. 45 indexed citations
18.
Lu, Liwei, et al.. (2008). Intracellular levels of hepatitis B virus DNA and pregenomic RNA in peripheral blood mononuclear cells of chronically infected patients. Journal of Viral Hepatitis. 16(2). 104–112. 24 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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