Min‐Feng Hsu
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
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- Computational Drug Discovery Methods
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Lipid Membrane Structure and Behavior 3
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- Synthesis and biological activity 2
- Co-authors
- Andrew H.‐J. Wang (8 shared papers)Po‐Huang Liang (3 shared papers)Chih‐Jung Kuo (2 shared papers)Tzu‐Ping Ko (3 shared papers)Chia‐Cheng Chou (2 shared papers)Hui-Lin Shr (1 shared paper)Gu‐Gang Chang (1 shared paper)Kai‐Ti Chang (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Biophysical Journal (2 papers)FEBS Journal (1 paper)Nature Communications (1 paper)FEBS Letters (1 paper)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Min‐Feng Hsu
14 papers receiving 382 citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 206
- Computational Theory and Mathematics 151
- Animal Science and Zoology 31
- Molecular Biology 158
- Structural Biology 2
Countries citing papers authored by Min‐Feng Hsu
This map shows the geographic impact of Min‐Feng 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 Min‐Feng Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Feng Hsu more than expected).
Fields of papers citing papers by Min‐Feng Hsu
This network shows the impact of papers produced by Min‐Feng 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 Min‐Feng Hsu. The network helps show where Min‐Feng Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min‐Feng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 220 | |
| 2 | 2007 | 56 | |
| 3 | 2024 | 31 | |
| 4 | 2007 | 29 | |
| 5 | 2015 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2019 | 12 | |
| 8 | 2010 | 6 | |
| 9 | 2015 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2019 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | A 2.0 ? Structure of the Fungal Immunomodulatory Protein GMI from Ganoderma microsporum | 2007 | 1 |
About Min‐Feng Hsu
Min‐Feng Hsu is a scholar working on Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Infectious Diseases, having authored 14 papers that have together received 392 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Photoreceptor and optogenetics research (3 papers), Lipid Membrane Structure and Behavior (3 papers), Computational Drug Discovery Methods (3 papers), Bacteriophages and microbial interactions (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Synthesis and biological activity (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Infectious Diseases (206 citations), Computational Theory and Mathematics (151 citations), Animal Science and Zoology (31 citations), Molecular Biology (158 citations) and Structural Biology (2 citations). Min‐Feng Hsu has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Andrew H.‐J. Wang, Po‐Huang Liang, Chih‐Jung Kuo, Tzu‐Ping Ko, Chia‐Cheng Chou, Hui-Lin Shr, Gu‐Gang Chang, Kai‐Ti Chang, Hui-Chuan Chang and Jim‐Min Fang. Their work appears in journals such as Journal of Biological Chemistry, Biophysical Journal, FEBS Journal, Nature Communications and FEBS Letters.
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.