Ying-Kit Cheung

1.1k total citations · 1 hit paper
7 papers, 923 citations indexed

About

Ying-Kit Cheung is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ying-Kit Cheung has authored 7 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Ying-Kit Cheung's work include Immunotherapy and Immune Responses (6 papers), vaccines and immunoinformatics approaches (2 papers) and Cervical Cancer and HPV Research (2 papers). Ying-Kit Cheung is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), vaccines and immunoinformatics approaches (2 papers) and Cervical Cancer and HPV Research (2 papers). Ying-Kit Cheung collaborates with scholars based in Hong Kong and China. Ying-Kit Cheung's co-authors include Chi‐Ming Chan, Jingshen Wu, Jianxiong Li, Yong Xie, Yong Xie, Ke Yan, Yi Xie, Ray Chun‐Fai Chan, Meng Shi and Xianhua Wang and has published in prestigious journals such as Polymer, Cancer Letters and Vaccine.

In The Last Decade

Ying-Kit Cheung

7 papers receiving 894 citations

Hit Papers

align trajectories

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.

Polypropylene/calcium carbonate nanocomposites

2002 803 citations Chi‐Ming Chan, Jingshen Wu et al. Polymer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying-Kit Cheung Hong Kong	7	659	305	145	110	83	7	923
Juanjuan Su China	15	283 0.4×	248 0.8×	140 1.0×	32 0.3×	113 1.4×	52	642
Mengqing Yang China	16	210 0.3×	77 0.3×	249 1.7×	152 1.4×	89 1.1×	55	806
Xujuan Li China	15	209 0.3×	330 1.1×	140 1.0×	22 0.2×	172 2.1×	41	711
Mengyun Zhang China	12	189 0.3×	40 0.1×	103 0.7×	28 0.3×	98 1.2×	39	689
Changshun Hou Hong Kong	14	150 0.2×	82 0.3×	190 1.3×	32 0.3×	286 3.4×	24	643
Shuxin Qu China	17	57 0.1×	132 0.4×	136 0.9×	75 0.7×	354 4.3×	59	764
Shaodi Zhang China	16	254 0.4×	146 0.5×	63 0.4×	12 0.1×	210 2.5×	62	790
Sayan Basak India	13	151 0.2×	75 0.2×	54 0.4×	16 0.1×	128 1.5×	45	419
Kang Yang China	17	263 0.4×	318 1.0×	158 1.1×	180 1.6×	153 1.8×	35	804

Countries citing papers authored by Ying-Kit Cheung

Since Specialization

Citations

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

Fields of papers citing papers by Ying-Kit Cheung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Kit 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 Ying-Kit Cheung. The network helps show where Ying-Kit Cheung may publish in the future.

Co-authorship network of co-authors of Ying-Kit Cheung

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

All Works

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7 of 7 papers shown

1.

Cheung, Ying-Kit, et al.. (2009). Two novel HLA-A*0201 T-cell epitopes in avian H5N1 viral nucleoprotein induced specific immune responses in HHD mice. Veterinary Research. 41(2). 24–24. 10 indexed citations

2.

Cheung, Ying-Kit, et al.. (2007). Induction of T-cell response by a DNA vaccine encoding a novel HLA-A*0201 severe acute respiratory syndrome coronavirus epitope. Vaccine. 25(32). 6070–6077. 39 indexed citations

3.

Cheung, Ying-Kit, et al.. (2007). Activation of cytotoxic T lymphocytes against CML28-bearing tumors by dendritic cells transduced with a recombinant adeno-associated virus encoding the CML28 gene. Cancer Immunology Immunotherapy. 57(7). 1029–1038. 13 indexed citations

4.

Chan, Ray Chun‐Fai, et al.. (2007). Induction of cytotoxic T cell response against HCA661 positive cancer cells through activation with novel HLA-A∗0201 restricted epitopes. Cancer Letters. 256(2). 178–185. 6 indexed citations

5.

Yan, Qin, et al.. (2006). A DNA vaccine constructed with human papillomavirus type 16 (HPV16) E7 and E6 genes induced specific immune responses. Gynecologic Oncology. 104(1). 199–206. 10 indexed citations

6.

Cheung, Ying-Kit, et al.. (2004). Plasmid encoding papillomavirus Type 16 (HPV16) DNA constructed with codon optimization improved the immunogenicity against HPV infection. Vaccine. 23(5). 629–638. 42 indexed citations

7.

Chan, Chi‐Ming, Jingshen Wu, Jianxiong Li, & Ying-Kit Cheung. (2002). Polypropylene/calcium carbonate nanocomposites. Polymer. 43(10). 2981–2992. 803 indexed citations breakdown →

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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