Hung-Jin Huang
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- Computational Drug Discovery Methods 7
- Pharmacology top 10%
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- Phosphodiesterase function and regulation 2
- Cancer therapeutics and mechanisms 1
- Metabolomics and Mass Spectrometry Studies 1
- Protein Structure and Dynamics 1
- DNA Repair Mechanisms 1
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- Influenza Virus Research Studies 2
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- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Fuu‐Jen TsaiCalvin Yu‐Chian ChenHsin‐Yi ChenChien‐Yu ChenDa‐Tian BauChang‐Hai TsaiMao‐Feng SunYu‐Hsuan Lee
- Journals
- Journal of Biomolecular Structure and Dynamics (6 papers)Journal of the Taiwan Institute of Chemical Engineers (2 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Hung-Jin Huang
11 papers receiving 547 citations
Peers
Comparison fields: 5 of 95
- Computational Theory and Mathematics 222
- Pharmacology 63
- Molecular Biology 350
- Virology 21
- Pharmacology 71
Countries citing papers authored by Hung-Jin Huang
This map shows the geographic impact of Hung-Jin Huang'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 Hung-Jin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Jin Huang more than expected).
Fields of papers citing papers by Hung-Jin Huang
This network shows the impact of papers produced by Hung-Jin Huang. 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 Hung-Jin Huang. The network helps show where Hung-Jin Huang may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Hung-Jin Huang, 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 | 2021 | 60 | |
| 2 | 2015 | 5 | |
| 3 | 2011 | 14 | |
| 4 | 2011 | 58 | |
| 5 | 2010 | 34 | |
| 6 | 2010 | 104 | |
| 7 | 2010 | 55 | |
| 8 | 2010 | 80 | |
| 9 | 2009 | 27 | |
| 10 | 2009 | 43 | |
| 11 | 2009 | 77 |
About Hung-Jin Huang
Hung-Jin Huang is a scholar working on Computational Theory and Mathematics, Clinical Biochemistry, Small Animals, Pharmacology and Molecular Biology, having authored 11 papers that have together received 557 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Influenza Virus Research Studies (2 papers), Phosphodiesterase function and regulation (2 papers), Cancer therapeutics and mechanisms (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Protein Structure and Dynamics (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (222 citations), Pharmacology (63 citations), Molecular Biology (350 citations), Virology (21 citations) and Pharmacology (71 citations). Hung-Jin Huang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Fuu‐Jen Tsai, Calvin Yu‐Chian Chen, Hsin‐Yi Chen, Chien‐Yu Chen, Da‐Tian Bau, Chang‐Hai Tsai, Chien‐Yu Chen, Calvin Yu‐Chian Chen, Mao‐Feng Sun and Yu‐Hsuan Lee. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Journal of the Taiwan Institute of Chemical Engineers, International Journal of Molecular Sciences, Acta Pharmacologica Sinica and BMC Complementary and Alternative Medicine.
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.