Ka Yan Chung

733 total citations
12 papers, 413 citations indexed

About

Ka Yan Chung is a scholar working on Virology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Ka Yan Chung has authored 12 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Virology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Molecular Biology. Recurrent topics in Ka Yan Chung's work include HIV Research and Treatment (5 papers), Mosquito-borne diseases and control (5 papers) and Insect symbiosis and bacterial influences (4 papers). Ka Yan Chung is often cited by papers focused on HIV Research and Treatment (5 papers), Mosquito-borne diseases and control (5 papers) and Insect symbiosis and bacterial influences (4 papers). Ka Yan Chung collaborates with scholars based in Singapore, United States and Switzerland. Ka Yan Chung's co-authors include Pei‐Yong Shi, Siew Pheng Lim, Julien Lescar, Hongping Dong, Dahai Luo, Julien Lescar, David Chang, Gang Zou, Xuping Xie and Ying Xiu Toh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

Ka Yan Chung

11 papers receiving 405 citations

Peers

Ka Yan Chung
Lieke van der Aa United States
Chao Su China
Federico A. De Maio Argentina
Sandra Bühler Germany
Stephanie Thurmond United States
Vinita Puri United States
Nicole N. Haese United States
Turgut E. Aktepe Australia
Isabella Muylaert Sweden
Ying Xiu Toh Singapore
Lieke van der Aa United States
Ka Yan Chung
Citations per year, relative to Ka Yan Chung Ka Yan Chung (= 1×) peers Lieke van der Aa

Countries citing papers authored by Ka Yan Chung

Since Specialization
Citations

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

Fields of papers citing papers by Ka Yan Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka Yan Chung. 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 Yan Chung. The network helps show where Ka Yan Chung may publish in the future.

Co-authorship network of co-authors of Ka Yan Chung

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

All Works

12 of 12 papers shown
1.
Murano, Tatsuro, Ka Yan Chung, Yew Chung Tang, et al.. (2025). Novel and Effective Blood‐Based miRNA Diagnostic Panel for Gastric Cancer: A Pilot Study in a Japanese Population. Cancer Medicine. 14(8). e70790–e70790.
2.
Cheong, Jit Kong, Dimple Rajgor, Yang Lv, et al.. (2022). Noncoding RNome as Enabling Biomarkers for Precision Health. International Journal of Molecular Sciences. 23(18). 10390–10390. 8 indexed citations
3.
Chung, Ka Yan, et al.. (2020). Polymer-Based Precipitation of Extracellular Vesicular miRNAs from Serum Improve Gastric Cancer miRNA Biomarker Performance. Journal of Molecular Diagnostics. 22(5). 610–618. 19 indexed citations
4.
Chung, Ka Yan, et al.. (2017). Trehalose significantly enhances the recovery of serum and serum exosomal miRNA from a paper-based matrix. Scientific Reports. 7(1). 16686–16686. 4 indexed citations
5.
Khurana, Surender, Ka Yan Chung, Elizabeth M. Coyle, Adam Meijer, & Hana Golding. (2016). Antigenic Fingerprinting of Antibody Response in Humans following Exposure to Highly Pathogenic H7N7 Avian Influenza Virus: Evidence for Anti-PA-X Antibodies. Journal of Virology. 90(20). 9383–9393. 11 indexed citations
6.
Niyomrattanakit, Pornwaratt, Kah Fei Wan, Ka Yan Chung, et al.. (2015). Stabilization of dengue virus polymerase in de novo initiation assay provides advantages for compound screening. Antiviral Research. 119. 36–46. 16 indexed citations
7.
Halliley, Jessica L., Surender Khurana, Florian Krammer, et al.. (2015). High-Affinity H7 Head and Stalk Domain–Specific Antibody Responses to an Inactivated Influenza H7N7 Vaccine After Priming With Live Attenuated Influenza Vaccine. The Journal of Infectious Diseases. 212(8). 1270–1278. 36 indexed citations
8.
9.
Zhao, Yongqian, Siew Pheng Lim, Ka Yan Chung, et al.. (2015). Molecular basis for specific viral RNA recognition and 2′-O-ribose methylation by the dengue virus nonstructural protein 5 (NS5). Proceedings of the National Academy of Sciences. 112(48). 14834–14839. 74 indexed citations
10.
Chung, Ka Yan, Hongping Dong, Alexander T. Chao, et al.. (2010). Higher catalytic efficiency of N-7-methylation is responsible for processive N-7 and 2′-O methyltransferase activity in dengue virus. Virology. 402(1). 52–60. 53 indexed citations
11.
Dong, Hongping, David Chang, Xuping Xie, et al.. (2010). Biochemical and genetic characterization of dengue virus methyltransferase. Virology. 405(2). 568–578. 87 indexed citations
12.
Luo, Dahai, Ka Yan Chung, Siew Pheng Lim, et al.. (2010). Crystal Structure of the Dengue Virus Methyltransferase Bound to a 5′-Capped Octameric RNA. PLoS ONE. 5(9). e12836–e12836. 59 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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2026