Pui–Kei Wu

1.1k citations
28 papers · 909 · h-index 17

Impact in

    • Ginseng Biological Effects and Applications
    • Melanoma and MAPK Pathways
    • Natural product bioactivities and synthesis
    • Heat shock proteins research
    • Pharmacological Effects of Natural Compounds

Papers in

    • Melanoma and MAPK Pathways 10
    • Heat shock proteins research 5
    • Natural product bioactivities and synthesis 4
    • Ginseng Biological Effects and Applications 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Cancer-related Molecular Pathways 2

Pui–Kei Wu

27 papers receiving 893 citations

Peers

Pui–Kei Wu
Comparison fields: 5 of 90
  • Molecular Biology 672
  • Pharmacology 80
  • Aging 16
  • Cancer Research 137
  • Complementary and alternative medicine 50
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Pui–Kei Wu relative to Ji Wook Moon South Korea Ji Wook Moon's profile →
Citations per field
00.5×1.5×2.3×
Ji Wook Moon · 1×
Citations per year

Countries citing papers authored by Pui–Kei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Pui–Kei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pui–Kei Wu. 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 Pui–Kei Wu. The network helps show where Pui–Kei Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Pui–Kei Wu, 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 Pui–Kei Wu Line = papers co-authored together Pui–Kei Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006180
2 2015101
3 200997
4 201496
5 202068
6 201363
7 200935
8 202029
9 202028
10 201128
11 201724
12 201522
13 201722
14 201621
15 201517
16 202116
17 201716
18 200611
19 19997
20 20137

About Pui–Kei Wu

Pui–Kei Wu is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Epidemiology, having authored 28 papers that have together received 909 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (10 papers), Heat shock proteins research (5 papers), Natural product bioactivities and synthesis (4 papers), Ginseng Biological Effects and Applications (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Molecular Biology (672 citations), Pharmacology (80 citations), Aging (16 citations), Cancer Research (137 citations) and Complementary and alternative medicine (50 citations). Pui–Kei Wu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Jong‐In Park, Seung‐Keun Hong, Andrew Becker, Dmytro Starenki, Zhi‐Hong Jiang, Ricky Ngok‐Shun Wong, P. Y. Leung, Patrick Ying‐Kit Yue, Cheng‐Fong Chen and Alexsia Richards. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Biotechnology, Cancer Biology & Therapy, Molecular and Cellular Biology and Cellular Signalling.

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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