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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- Polyamine Metabolism and Applications 4
- DNA Repair Mechanisms 3
- Histone Deacetylase Inhibitors Research 2
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- Acute Lymphoblastic Leukemia research 4
- Co-authors
- Guang‐Yaw Liu (6 shared papers)Ya-Fan Liao (6 shared papers)Hui‐Chih Hung (6 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)Leukemia Research (2 papers)Molecules and Cells (2 papers)Poultry Science (1 paper)
- Partner nations
- TaiwanSouth KoreaSwitzerland
In The Last Decade
Pei‐Chen Hsu
29 papers receiving 476 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 113
- Molecular Medicine 30
- Molecular Biology 208
- Biochemistry 18
- Immunology and Allergy 11
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 | 78 | |
| 2 | 2008 | 44 | |
| 3 | 2014 | 36 | |
| 4 | 2007 | 25 | |
| 5 | 2008 | 25 | |
| 6 | 2017 | 23 | |
| 7 | 2020 | 21 | |
| 8 | 2016 | 21 | |
| 9 | 2020 | 20 | |
| 10 | 2017 | 20 | |
| 11 | 2017 | 17 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 15 | |
| 14 | 2024 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2018 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2024 | 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, Cell Biology and Surgery, having authored 31 papers that have together received 481 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Polyamine Metabolism and Applications (4 papers), DNA Repair Mechanisms (3 papers), Aldose Reductase and Taurine (2 papers), Toxoplasma gondii Research Studies (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cancer Research (113 citations), Molecular Medicine (30 citations), Molecular Biology (208 citations), Biochemistry (18 citations) and Immunology and Allergy (11 citations). Pei‐Chen Hsu has collaborated with scholars based in Taiwan, South Korea and Switzerland. Frequent co-authors include Guang‐Yaw Liu, Ya-Fan Liao, Hui‐Chih Hung, 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, Leukemia Research, Molecules and Cells and Poultry Science.
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.