Pei‐Chen Hsu
Impact in
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- Protease and Inhibitor Mechanisms
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Curcumin's Biomedical Applications
Papers in
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- DNA Repair Mechanisms 4
- RNA modifications and cancer 4
- Polyamine Metabolism and Applications 4
- Epigenetics and DNA Methylation 2
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- Acute Lymphoblastic Leukemia research 10
- Co-authors
- Ya-Fan Liao (6 shared papers)Hui‐Chih Hung (6 shared papers)Guang‐Yaw Liu (5 shared papers)Gregory J. Tsay (5 shared papers)Da‐Tian Bau (10 shared papers)Chia-Wen Tsai (8 shared papers)Wen-Shin Chang (9 shared papers)Hsao‐Hsun Hsu (2 shared papers)
- Journals
- Anticancer Research (7 papers)Cancer Genomics & Proteomics (4 papers)Molecules and Cells (2 papers)Leukemia Research (2 papers)Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)
- Partner nations
- TaiwanSouth KoreaCanada
In The Last Decade
Pei‐Chen Hsu
29 papers receiving 456 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 129
- Molecular Medicine 30
- Molecular Biology 242
- Genetics 30
- Biochemistry 19
Countries citing papers authored by Pei‐Chen Hsu
This map shows the geographic impact of Pei‐Chen Hsu'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 Pei‐Chen Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Chen Hsu more than expected).
Fields of papers citing papers by Pei‐Chen Hsu
This network shows the impact of papers produced by Pei‐Chen Hsu. 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 Pei‐Chen Hsu. The network helps show where Pei‐Chen Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Chen Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 76 | |
| 2 | 2008 | 41 | |
| 3 | 2014 | 35 | |
| 4 | 2007 | 25 | |
| 5 | 2008 | 24 | |
| 6 | 2017 | 23 | |
| 7 | 2016 | 21 | |
| 8 | 2020 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2017 | 17 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2024 | 12 | |
| 16 | 2024 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2010 | 9 | |
| 20 | 2008 | 9 |
About Pei‐Chen Hsu
Pei‐Chen Hsu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Cancer Research, Oncology and Rheumatology, having authored 31 papers that have together received 462 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (10 papers), DNA Repair Mechanisms (4 papers), RNA modifications and cancer (4 papers), Polyamine Metabolism and Applications (4 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (129 citations), Molecular Medicine (30 citations), Molecular Biology (242 citations), Genetics (30 citations) and Biochemistry (19 citations). Pei‐Chen Hsu has collaborated with scholars based in Taiwan, South Korea and Canada. Frequent co-authors include Ya-Fan Liao, Hui‐Chih Hung, Guang‐Yaw Liu, Gregory J. Tsay, Da‐Tian Bau, Chia-Wen Tsai, Wen-Shin Chang, Hsao‐Hsun Hsu, DA-TIAN BAU and Ming‐Ching Kao. Their work appears in journals such as Anticancer Research, Cancer Genomics & Proteomics, Molecules and Cells, Leukemia Research and Journal of Enzyme Inhibition and Medicinal Chemistry.
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.