Wai Yi Siu

1.4k citations
20 papers · 1.2k indexed · h-index 20
  • Oncology top 5%
    • Cancer-related Molecular Pathways 17
    • Microtubule and mitosis dynamics 8
    • Cancer Research and Treatments 4
    • DNA Repair Mechanisms 9
    • Ubiquitin and proteasome pathways 6
    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 3
    • Genomics and Chromatin Dynamics 2

Wai Yi Siu

20 papers receiving 1.2k citations

Peers

Wai Yi Siu
Comparison fields: 5 of 84
  • Oncology 723
  • Cell Biology 342
  • Biotechnology 142
  • Molecular Biology 1.0k
  • Cancer Research 136
Replace Anita Lau with:
Anita Lau Hong Kong
Chit Fang Cheok Singapore
Harsh W. Sharma United States
Carol Prives United States
Kathryn M. Brumbaugh United States
Dongping Wei China
Alessandra Blasina United States
Hai Dang Nguyen United States
Joshua C. Saldivar United States
Dale S. Haines United States
Wai Yi Siu relative to Anita Lau Hong Kong Anita Lau's profile →
Citations per field
00.5×1.7×
Anita Lau · 1×
Citations per year

Countries citing papers authored by Wai Yi Siu

Since Specialization
Citations

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

Fields of papers citing papers by Wai Yi Siu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai Yi Siu. 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 Wai Yi Siu. The network helps show where Wai Yi Siu may publish in the future.

Co-authorship network

The 21 scholars most cited alongside Wai Yi Siu, 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 Wai Yi Siu Line = papers co-authored together Wai Yi Siu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200630
2 200626
3 200654
4 200447
5 2004132
6 200452
7 200372
8 200342
9 200328
10 200263
11
The candidate tumor suppressor ING1b can stabilize p53 by disrupting the regulation of p53 by MDM2.
200258
12 200170
13 200126
14 200062
15 200086
16 1999114
17 199949
18
MDM2 and MDMX inhibit the transcriptional activity of ectopically expressed SMAD proteins.
199941
19 199972
20 199972

About Wai Yi Siu

Wai Yi Siu is a scholar working on Oncology, Cell Biology and Biotechnology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (17 papers), DNA Repair Mechanisms (9 papers), Microtubule and mitosis dynamics (8 papers), Ubiquitin and proteasome pathways (6 papers), Epigenetics and DNA Methylation (6 papers), Cancer Research and Treatments (4 papers), RNA modifications and cancer (3 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Oncology (723 citations), Cell Biology (342 citations) and Biotechnology (142 citations). Wai Yi Siu has collaborated with scholars based in Hong Kong, Japan and United States. Frequent co-authors include Randy Y.C. Poon, Anita Lau, Talha Arooz, Cain H. Yam, Katsumi Yamashita, Tsz Kan Fung, Jeremy P.H. Chow, Xiao Qi Wang, Raymond W. M. Ng and Weg M. Ongkeko. Their work appears in journals such as FEBS Letters, Journal of Biological Chemistry, Molecular and Cellular Biology, Molecular Biology of the Cell and Molecular Cancer Therapeutics.

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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