Jinn‐Moon Yang
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
Papers in
-
- Protein Structure and Dynamics 25
- Bioinformatics and Genomic Networks 22
- Machine Learning in Bioinformatics 8
-
- Computational Drug Discovery Methods 33
- Co-authors
- Chun‐Chen Chen (1 shared paper)Kai‐Cheng Hsu (32 shared papers)Yen‐Fu Chen (12 shared papers)Tsai-Wei Shen (2 shared papers)Chih-Chieh Chen (2 shared papers)Cheng‐Yan Kao (15 shared papers)Huai‐Kuang Tsai (8 shared papers)C.-Y. Kao (4 shared papers)
- Journals
- Nucleic Acids Research (11 papers)BMC Bioinformatics (10 papers)Scientific Reports (8 papers)BMC Genomics (6 papers)PLoS ONE (5 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Jinn‐Moon Yang
152 papers receiving 4.2k citations
Jinn‐Moon Yang's Hit Papers
Peers
Comparison fields: 5 of 166
- Computational Theory and Mathematics 847
- Molecular Biology 2.1k
- Infectious Diseases 344
- Organic Chemistry 551
- Toxicology 60
Countries citing papers authored by Jinn‐Moon Yang
This map shows the geographic impact of Jinn‐Moon Yang'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 Jinn‐Moon Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinn‐Moon Yang more than expected).
Fields of papers citing papers by Jinn‐Moon Yang
This network shows the impact of papers produced by Jinn‐Moon Yang. 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 Jinn‐Moon Yang. The network helps show where Jinn‐Moon Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinn‐Moon Yang, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GEMDOCK: A generic evolutionary method for molecular docking Hit paper breakdown → | 2004 | 530 |
| 2 | iGEMDOCK: a graphical environment of enhancing GEMDOCK using pharmacological interactions and post-screening analysis Hit paper breakdown → | 2011 | 408 |
| 3 | 2005 | 173 | |
| 4 | 2009 | 156 | |
| 5 | 2006 | 125 | |
| 6 | 2009 | 102 | |
| 7 | 2007 | 92 | |
| 8 | 2008 | 91 | |
| 9 | 2019 | 88 | |
| 10 | 2005 | 86 | |
| 11 | 2007 | 84 | |
| 12 | 2004 | 82 | |
| 13 | 2006 | 82 | |
| 14 | 2008 | 80 | |
| 15 | 2014 | 78 | |
| 16 | 2007 | 66 | |
| 17 | 2004 | 58 | |
| 18 | 2003 | 51 | |
| 19 | 2014 | 50 | |
| 20 | 2021 | 48 |
About Jinn‐Moon Yang
Jinn‐Moon Yang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Epidemiology and Materials Chemistry, having authored 155 papers that have together received 4.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (33 papers), Protein Structure and Dynamics (25 papers), Bioinformatics and Genomic Networks (22 papers), Metaheuristic Optimization Algorithms Research (16 papers), Evolutionary Algorithms and Applications (14 papers), Enzyme Structure and Function (10 papers), Influenza Virus Research Studies (9 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Computational Theory and Mathematics (847 citations), Molecular Biology (2.1k citations), Infectious Diseases (344 citations), Organic Chemistry (551 citations) and Toxicology (60 citations). Jinn‐Moon Yang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chun‐Chen Chen, Kai‐Cheng Hsu, Yen‐Fu Chen, Tsai-Wei Shen, Chih-Chieh Chen, Cheng‐Yan Kao, Huai‐Kuang Tsai, C.-Y. Kao, J.-K. Hwang and Jenn-Kang Hwang. Their work appears in journals such as Nucleic Acids Research, BMC Bioinformatics, Scientific Reports, BMC Genomics and PLoS ONE.
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.