Kai‐Yu Ng

726 total citations
11 papers, 542 citations indexed

About

Kai‐Yu Ng is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Kai‐Yu Ng has authored 11 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Cell Biology. Recurrent topics in Kai‐Yu Ng's work include Cancer-related gene regulation (4 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). Kai‐Yu Ng is often cited by papers focused on Cancer-related gene regulation (4 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). Kai‐Yu Ng collaborates with scholars based in Hong Kong, China and Canada. Kai‐Yu Ng's co-authors include Terence K. Lee, Stephanie Ma, Kwan Man, Man Tong, Xin‐Yuan Guan, Tin Lok Wong, Chung Mau Lo, Kwok Wah Chan, Yunfei Yuan and Lei Zhou and has published in prestigious journals such as Journal of Clinical Investigation, ACS Nano and Hepatology.

In The Last Decade

Kai‐Yu Ng

9 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai‐Yu Ng Hong Kong 9 402 235 130 59 55 11 542
Alan Ka‐Lun Kai Hong Kong 6 361 0.9× 310 1.3× 125 1.0× 46 0.8× 52 0.9× 6 513
Yuli Jia China 13 408 1.0× 279 1.2× 123 0.9× 44 0.7× 34 0.6× 14 567
Martina Mang Leng Lei Hong Kong 8 239 0.6× 133 0.6× 123 0.9× 50 0.8× 49 0.9× 10 394
Floriane Pez France 5 288 0.7× 120 0.5× 92 0.7× 56 0.9× 48 0.9× 6 431
Michaela Bissinger Germany 11 387 1.0× 172 0.7× 101 0.8× 45 0.8× 40 0.7× 16 549
Hui Rao China 10 299 0.7× 125 0.5× 103 0.8× 34 0.6× 36 0.7× 19 439
Hee Doo Yang South Korea 13 479 1.2× 279 1.2× 80 0.6× 22 0.4× 61 1.1× 18 607
Guangyan Zhangyuan China 13 349 0.9× 219 0.9× 113 0.9× 54 0.9× 70 1.3× 16 549
Shi-Xun Lu China 12 381 0.9× 286 1.2× 142 1.1× 30 0.5× 74 1.3× 12 572

Countries citing papers authored by Kai‐Yu Ng

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Yu Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Yu Ng. 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 Kai‐Yu Ng. The network helps show where Kai‐Yu Ng may publish in the future.

Co-authorship network of co-authors of Kai‐Yu Ng

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

All Works

11 of 11 papers shown
1.
Ng, Kai‐Yu, Terence K. Lee, Tin Lok Wong, et al.. (2025). AGPAT4 targeted covalent inhibitor potentiates targeted therapy to overcome cancer cell plasticity in hepatocellular carcinoma mouse models. Science Translational Medicine. 17(809). eadn9472–eadn9472.
2.
3.
Gao, Yuan, Man Tong, Tin Lok Wong, et al.. (2023). Long Noncoding RNA URB1-Antisense RNA 1 (AS1) Suppresses Sorafenib-Induced Ferroptosis in Hepatocellular Carcinoma by Driving Ferritin Phase Separation. ACS Nano. 17(22). 22240–22258. 45 indexed citations
4.
Loong, Jane Ho Chun, Tin Lok Wong, Man Tong, et al.. (2021). Glucose deprivation–induced aberrant FUT1-mediated fucosylation drives cancer stemness in hepatocellular carcinoma. Journal of Clinical Investigation. 131(11). 76 indexed citations
5.
Ng, Kai‐Yu, Tin Lok Wong, Man Tong, et al.. (2021). Chemotherapy‐Enriched THBS2‐Deficient Cancer Stem Cells Drive Hepatocarcinogenesis through Matrix Softness Induced Histone H3 Modifications. Advanced Science. 8(5). 2002483–2002483. 41 indexed citations
6.
Che, Noélia, Kai‐Yu Ng, Tin Lok Wong, et al.. (2020). PRMT6 deficiency induces autophagy in hostile microenvironments of hepatocellular carcinoma tumors by regulating BAG5-associated HSC70 stability. Cancer Letters. 501. 247–262. 23 indexed citations
7.
Wong, Tin Lok, Kai‐Yu Ng, Kel Vin Tan, et al.. (2019). CRAF Methylation by PRMT6 Regulates Aerobic Glycolysis–Driven Hepatocarcinogenesis via ERK‐Dependent PKM2 Nuclear Relocalization and Activation. Hepatology. 71(4). 1279–1296. 91 indexed citations
9.
Chai, Stella, Kai‐Yu Ng, Man Tong, et al.. (2016). Octamer 4/microRNA‐1246 signaling axis drives Wnt/β‐catenin activation in liver cancer stem cells. Hepatology. 64(6). 2062–2076. 162 indexed citations
10.
Tong, Man, Kai‐Yu Ng, Terence K. Lee, et al.. (2015). ANXA3/JNK Signaling Promotes Self-Renewal and Tumor Growth, and Its Blockade Provides a Therapeutic Target for Hepatocellular Carcinoma. Stem Cell Reports. 5(1). 45–59. 75 indexed citations
11.
Ng, Kai‐Yu, Yung Hou Wong, & Helen Wise. (2009). The role of glial cells in influencing neurite extension by dorsal root ganglion cells. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6(1). 19–29. 8 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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