Hsu-Ping Kuo
Impact in
- Molecular Biology top 10%
- Genomics, phytochemicals, and oxidative stress
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
- RNA Interference and Gene Delivery
- Glutathione Transferases and Polymorphisms
- Cancer Research top 10%
Papers in
-
- Signaling Pathways in Disease 3
- Cell death mechanisms and regulation 3
- RNA Interference and Gene Delivery 2
- Ubiquitin and proteasome pathways 2
- Oncology 4
- Peptidase Inhibition and Analysis 2
- Co-authors
- Mien‐Chie Hung (11 shared papers)Dung‐Fang Lee (7 shared papers)Long‐Yuan Li (5 shared papers)Chien‐Chen Lai (4 shared papers)Chun‐Te Chen (5 shared papers)Weiya Xia (6 shared papers)Chao‐Kai Chou (4 shared papers)Qingqing Ding (4 shared papers)
- Journals
- Molecular Cell (2 papers)Biochemical and Biophysical Research Communications (2 papers)Cancer Research (2 papers)Cancer Cell (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Hsu-Ping Kuo
12 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 892
- Cancer Research 187
- Oncology 274
- Immunology 167
- Biotechnology 50
Countries citing papers authored by Hsu-Ping Kuo
This map shows the geographic impact of Hsu-Ping Kuo'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 Hsu-Ping Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsu-Ping Kuo more than expected).
Fields of papers citing papers by Hsu-Ping Kuo
This network shows the impact of papers produced by Hsu-Ping Kuo. 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 Hsu-Ping Kuo. The network helps show where Hsu-Ping Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsu-Ping Kuo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 333 | |
| 2 | 2011 | 195 | |
| 3 | 2008 | 163 | |
| 4 | 2004 | 97 | |
| 5 | 2011 | 76 | |
| 6 | 2013 | 63 | |
| 7 | 2007 | 61 | |
| 8 | 2008 | 49 | |
| 9 | Enhancement of Bik antitumor effect by Bik mutants. | 2003 | 45 |
| 10 | 2009 | 25 | |
| 11 | 2012 | 21 | |
| 12 | 2009 | 15 |
About Hsu-Ping Kuo
Hsu-Ping Kuo is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Surgery, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (3 papers), Cell death mechanisms and regulation (3 papers), NF-κB Signaling Pathways (3 papers), interferon and immune responses (2 papers), RNA Interference and Gene Delivery (2 papers), Cancer-related molecular mechanisms research (2 papers), Ubiquitin and proteasome pathways (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Molecular Biology (892 citations), Cancer Research (187 citations), Oncology (274 citations), Immunology (167 citations) and Biotechnology (50 citations). Hsu-Ping Kuo has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Mien‐Chie Hung, Dung‐Fang Lee, Long‐Yuan Li, Chien‐Chen Lai, Chun‐Te Chen, Weiya Xia, Chao‐Kai Chou, Qingqing Ding, Mo Liu and Jung-Mao Hsu. Their work appears in journals such as Molecular Cell, Biochemical and Biophysical Research Communications, Cancer Research, Cancer 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.