W K Yang

1.3k citations
48 papers · 1.2k · h-index 20

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Genetics top 10%
    • Virus-based gene therapy research

Papers in

W K Yang

48 papers receiving 1.1k citations

Peers

W K Yang
Comparison fields: 5 of 85
  • Virology 201
  • Genetics 209
  • Oncology 175
  • Molecular Biology 475
  • Immunology 117
Replace Xiaoping Cui with:
Xiaoping Cui China
G. Barbanti‐Brodano Italy
Shumei Wang China
Yoshitsugu Inoue Japan
Paula A. Schneider United States
Alim Ladha United States
Yoshiyuki Kanazawa Japan
Navin Varadarajan United States
Jiong Shi China
Kevin Tsai United States
W K Yang relative to Xiaoping Cui China Xiaoping Cui's profile →
Citations per field
00.5×3.1×
Xiaoping Cui · 1×
Citations per year

Countries citing papers authored by W K Yang

Since Specialization
Citations

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

Fields of papers citing papers by W K Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W K Yang. 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 W K Yang. The network helps show where W K Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside W K Yang, 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 W K Yang Line = papers co-authored together W K Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Overexpression of cyclin A but not Skp 2 correlates with the tumor relapse of human hepatocellular carcinoma.
1998101
2 198088
3 200980
4 199758
5 201754
6 198353
7 197550
8 196847
9 201744
10 199940
11 198537
12 198336
13
Activation of CDC 25 phosphatase and CDC 2 kinase involved in GL331-induced apoptosis.
199734
14 201733
15
Distinct p53-mediated G1/S checkpoint responses in two NIH3T3 subclone cells following treatment with DNA-damaging agents.
199633
16 198025
17 201821
18 201721
19 198120
20 201819

About W K Yang

W K Yang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Oncology, Virology and Genetics, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (10 papers), HIV Research and Treatment (10 papers), Virus-based gene therapy research (9 papers), Cancer-related Molecular Pathways (7 papers), RNA Interference and Gene Delivery (5 papers), HIV/AIDS drug development and treatment (5 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Virology (201 citations), Genetics (209 citations), Oncology (175 citations), Molecular Biology (475 citations) and Immunology (117 citations). W K Yang has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Tze‐Sing Huang, Raymond W. Tennant, Ke‐Horng Chen, Ying-Hsi Lin, Lawrence R. Boone, Jim Kiggans, Huei‐Ru Tseng, G. David Novelli, Yu‐Lueng Shih and Tsung-Yen Tsai. Their work appears in journals such as Journal of Virology, IEEE Transactions on Power Electronics, Proceedings of the National Academy of Sciences, APOPTOSIS and Journal of General Virology.

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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