Thy‐Hou Lin
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
-
- Computational Drug Discovery Methods
Papers in
-
- RNA and protein synthesis mechanisms 11
- Protein Structure and Dynamics 4
- Machine Learning in Bioinformatics 4
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- Computational Drug Discovery Methods 14
- Co-authors
- Keng‐Chang Tsai (7 shared papers)Tsung‐Lin Tsai (5 shared papers)Yi‐Yu Ke (3 shared papers)Shih‐Yuan Chen (3 shared papers)Duane P. Grandgenett (2 shared papers)Yu-Kuo Tsai (3 shared papers)Chien‐Chi Chen (2 shared papers)Yi‐Chieh Chen (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Microbiology (2 papers)Applied Microbiology and Biotechnology (2 papers)Journal of Medicinal Chemistry (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Thy‐Hou Lin
46 papers receiving 533 citations
Peers
Comparison fields: 5 of 109
- Microbiology 44
- Computational Theory and Mathematics 110
- Food Science 102
- Virology 21
- Molecular Biology 263
Countries citing papers authored by Thy‐Hou Lin
This map shows the geographic impact of Thy‐Hou Lin'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 Thy‐Hou Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thy‐Hou Lin more than expected).
Fields of papers citing papers by Thy‐Hou Lin
This network shows the impact of papers produced by Thy‐Hou Lin. 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 Thy‐Hou Lin. The network helps show where Thy‐Hou Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Thy‐Hou Lin, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 50 | |
| 2 | 2003 | 40 | |
| 3 | 2015 | 38 | |
| 4 | 2012 | 32 | |
| 5 | 1997 | 28 | |
| 6 | 2005 | 25 | |
| 7 | 2006 | 20 | |
| 8 | 2008 | 18 | |
| 9 | 2015 | 18 | |
| 10 | 1991 | 17 | |
| 11 | 2009 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 1989 | 15 | |
| 14 | 2005 | 15 | |
| 15 | 2006 | 13 | |
| 16 | 2006 | 13 | |
| 17 | 2006 | 13 | |
| 18 | 2007 | 12 | |
| 19 | 2004 | 12 | |
| 20 | 2009 | 11 |
About Thy‐Hou Lin
Thy‐Hou Lin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Organic Chemistry and Food Science, having authored 48 papers that have together received 550 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), RNA and protein synthesis mechanisms (11 papers), Probiotics and Fermented Foods (7 papers), HIV Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), HIV/AIDS drug development and treatment (5 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Microbiology (44 citations), Computational Theory and Mathematics (110 citations), Food Science (102 citations), Virology (21 citations) and Molecular Biology (263 citations). Thy‐Hou Lin has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Keng‐Chang Tsai, Tsung‐Lin Tsai, Yi‐Yu Ke, Shih‐Yuan Chen, Duane P. Grandgenett, Yu-Kuo Tsai, Chien‐Chi Chen, Yi‐Chieh Chen, Y. C. Liao and Yu‐Chee Tseng. Their work appears in journals such as Journal of Chemical Information and Modeling, Microbiology, Applied Microbiology and Biotechnology, Journal of Medicinal Chemistry and BMC Bioinformatics.
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.