Kai‐Yu Ng

726 citations
11 papers · 542 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Hepatology top 10%

Papers in

    • Cancer-related gene regulation 4
    • Epigenetics and DNA Methylation 2
    • Protein Degradation and Inhibitors 1
    • FOXO transcription factor regulation 1
    • Cancer, Hypoxia, and Metabolism 2
    • MicroRNA in disease regulation 1

Kai‐Yu Ng

9 papers receiving 537 citations

Peers

Kai‐Yu Ng
Comparison fields: 5 of 62
  • Cancer Research 235
  • Hepatology 59
  • Molecular Biology 402
  • Oncology 130
  • Cell Biology 42
Replace Alan Ka‐Lun Kai with:
Alan Ka‐Lun Kai Hong Kong
Floriane Pez France
Martina Mang Leng Lei Hong Kong
Yibin Ren China
Yuli Jia China
Zhenhai Lin China
Jiongqiang Huang China
Linquan Wu China
Michaela Bissinger Germany
Kai‐Yu Ng relative to Alan Ka‐Lun Kai Hong Kong Alan Ka‐Lun Kai's profile →
Citations per field
00.5×4.5×
Alan Ka‐Lun Kai · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kai‐Yu Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai‐Yu Ng Line = papers co-authored together Kai‐Yu Ng links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2016162
2 201991
3 202176
4 201575
5 202345
6 202141
7 202023
8 201921
9 20098
10 20250
11 20240

About Kai‐Yu Ng

Kai‐Yu Ng is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Cellular and Molecular Neuroscience and Neurology, having authored 11 papers that have together received 542 indexed citations. Recurring topics across this work include Cancer-related gene regulation (4 papers), Cancer, Hypoxia, and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), MicroRNA in disease regulation (1 paper), Protein Degradation and Inhibitors (1 paper), FOXO transcription factor regulation (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Cancer Research (235 citations), Hepatology (59 citations), Molecular Biology (402 citations), Oncology (130 citations) and Cell Biology (42 citations). Kai‐Yu Ng has collaborated with scholars based in Hong Kong, China and Canada. Frequent 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. Their work appears in journals such as Hepatology, Science Translational Medicine, Cancer Letters, Stem Cell Reports and Journal of Clinical Investigation.

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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