Michael Chiu
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 7
- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Michael K. Gilson (8 shared papers)David L. Mobley (3 shared papers)S.K. Burley (5 shared papers)Rommie E. Amaro (5 shared papers)Michael R. Shirts (2 shared papers)Huanwang Yang (4 shared papers)W. Patrick Walters (4 shared papers)Chenghua Shao (4 shared papers)
- Journals
- Journal of Computer-Aided Molecular Design (7 papers)Structure (1 paper)The AAPS Journal (1 paper)Molecular Pharmaceutics (1 paper)PubMed (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Michael Chiu
11 papers receiving 896 citations
Peers
Comparison fields: 5 of 92
- Computational Theory and Mathematics 523
- Molecular Biology 679
- Physical and Theoretical Chemistry 80
- Materials Chemistry 313
- Spectroscopy 96
Countries citing papers authored by Michael Chiu
This map shows the geographic impact of Michael Chiu'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 Michael Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Chiu more than expected).
Fields of papers citing papers by Michael Chiu
This network shows the impact of papers produced by Michael Chiu. 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 Michael Chiu. The network helps show where Michael Chiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Chiu, 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 | 2016 | 159 | |
| 2 | 2017 | 144 | |
| 3 | 2016 | 141 | |
| 4 | 2018 | 107 | |
| 5 | 2019 | 97 | |
| 6 | 2016 | 90 | |
| 7 | 2020 | 85 | |
| 8 | 2019 | 36 | |
| 9 | 2012 | 25 | |
| 10 | 2010 | 17 | |
| 11 | Validating free-text order entry for a note-centric EHR. | 2015 | 7 |
About Michael Chiu
Michael Chiu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Physical and Theoretical Chemistry and Cancer Research, having authored 11 papers that have together received 908 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (5 papers), MicroRNA in disease regulation (2 papers), Machine Learning in Materials Science (2 papers), RNA Interference and Gene Delivery (2 papers), Crystallography and molecular interactions (2 papers), Enzyme Structure and Function (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (523 citations), Molecular Biology (679 citations), Physical and Theoretical Chemistry (80 citations), Materials Chemistry (313 citations) and Spectroscopy (96 citations). Michael Chiu has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Michael K. Gilson, David L. Mobley, S.K. Burley, Rommie E. Amaro, Michael R. Shirts, Huanwang Yang, W. Patrick Walters, Chenghua Shao, Victoria A. Feher and Shuai Liu. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Structure, The AAPS Journal, Molecular Pharmaceutics and PubMed.
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.