Kun‐Yi Hsin
Impact in
- Pharmacology top 2%
- Pharmacological Effects of Natural Compounds
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- Traditional Chinese Medicine Analysis
Papers in
-
- Bioinformatics and Genomic Networks 5
- RNA and protein synthesis mechanisms 2
- Microbial Metabolic Engineering and Bioproduction 2
- Protein Structure and Dynamics 2
- Gene Regulatory Network Analysis 2
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- Computational Drug Discovery Methods 5
- Co-authors
- Hiroaki Kitano (5 shared papers)Samik Ghosh (4 shared papers)Yoshiyuki Asai (3 shared papers)Yukiko Matsuoka (2 shared papers)Malcolm D. Walkinshaw (3 shared papers)Paul Taylor (2 shared papers)Tokiko Watanabe (1 shared paper)Yoshihiro Kawaoka (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Animals (2 papers)Biopharmaceutics & Drug Disposition (1 paper)Nature Reviews Genetics (1 paper)Bioorganic Chemistry (1 paper)
- Partner nations
- JapanTaiwanUnited Kingdom
In The Last Decade
Kun‐Yi Hsin
14 papers receiving 872 citations
Kun‐Yi Hsin's Hit Papers
Peers
Comparison fields: 5 of 122
- Pharmacology 168
- Complementary and alternative medicine 89
- Computational Theory and Mathematics 156
- Molecular Biology 538
- Pharmacology 109
Countries citing papers authored by Kun‐Yi Hsin
This map shows the geographic impact of Kun‐Yi Hsin'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 Kun‐Yi Hsin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Yi Hsin more than expected).
Fields of papers citing papers by Kun‐Yi Hsin
This network shows the impact of papers produced by Kun‐Yi Hsin. 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 Kun‐Yi Hsin. The network helps show where Kun‐Yi Hsin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun‐Yi Hsin, 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 | Combining Machine Learning Systems and Multiple Docking Simulation Packages to Improve Docking Prediction Reliability for Network Pharmacology Hit paper breakdown → | 2013 | 398 |
| 2 | 2011 | 180 | |
| 3 | 2016 | 132 | |
| 4 | 2008 | 86 | |
| 5 | 2013 | 21 | |
| 6 | 2010 | 16 | |
| 7 | 2010 | 13 | |
| 8 | 2013 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2019 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2015 | 2 |
About Kun‐Yi Hsin
Kun‐Yi Hsin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Pharmacology and Nutrition and Dietetics, having authored 14 papers that have together received 884 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (5 papers), Enzyme Structure and Function (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), RNA and protein synthesis mechanisms (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Protein Structure and Dynamics (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Pharmacology (168 citations), Complementary and alternative medicine (89 citations), Computational Theory and Mathematics (156 citations), Molecular Biology (538 citations) and Pharmacology (109 citations). Kun‐Yi Hsin has collaborated with scholars based in Japan, Taiwan and United Kingdom. Frequent co-authors include Hiroaki Kitano, Samik Ghosh, Yoshiyuki Asai, Yukiko Matsuoka, Malcolm D. Walkinshaw, Paul Taylor, Tokiko Watanabe, Yukiko Matsuoka, Yoshihiro Kawaoka and Yujie Sheng. Their work appears in journals such as Nucleic Acids Research, Animals, Biopharmaceutics & Drug Disposition, Nature Reviews Genetics and Bioorganic 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.