Michael Siu
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
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- Genomics, phytochemicals, and oxidative stress 2
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- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Heemin Kang (1 shared paper)Pam Cheung (1 shared paper)Yan Leng (1 shared paper)Ameya Phadke (1 shared paper)Yongsung Hwang (1 shared paper)Shu Chien (1 shared paper)Yu‐Ru V. Shih (1 shared paper)Emmanuel A. Theodorakis (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (4 papers)Drug Metabolism and Disposition (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Tetrahedron Letters (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Michael Siu
27 papers receiving 988 citations
Peers
Comparison fields: 5 of 99
- Immunology and Allergy 48
- Cell Biology 133
- Biomaterials 92
- Biomedical Engineering 247
- Molecular Biology 355
Countries citing papers authored by Michael Siu
This map shows the geographic impact of Michael Siu'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 Siu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Siu more than expected).
Fields of papers citing papers by Michael Siu
This network shows the impact of papers produced by Michael Siu. 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 Siu. The network helps show where Michael Siu may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Siu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 322 | |
| 2 | 2005 | 187 | |
| 3 | 2017 | 53 | |
| 4 | 2015 | 49 | |
| 5 | 2017 | 48 | |
| 6 | 2018 | 42 | |
| 7 | 2000 | 41 | |
| 8 | 2002 | 37 | |
| 9 | 2016 | 37 | |
| 10 | 2009 | 36 | |
| 11 | 2019 | 27 | |
| 12 | 2006 | 23 | |
| 13 | 2013 | 17 | |
| 14 | 2002 | 15 | |
| 15 | 2016 | 15 | |
| 16 | 2014 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2017 | 7 | |
| 20 | 2013 | 4 |
About Michael Siu
Michael Siu is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Oncology and Computational Theory and Mathematics, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Plant Molecular Biology Research (2 papers), Ion Channels and Receptors (2 papers), Alzheimer's disease research and treatments (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Synthetic Organic Chemistry Methods (2 papers). The work is most often cited by research in Immunology and Allergy (48 citations), Cell Biology (133 citations), Biomaterials (92 citations), Biomedical Engineering (247 citations) and Molecular Biology (355 citations). Michael Siu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Heemin Kang, Pam Cheung, Yan Leng, Ameya Phadke, Yongsung Hwang, Shu Chien, Yu‐Ru V. Shih, Emmanuel A. Theodorakis, Eduardo J. E. Caro‐Diaz and Nathaniel S. Hwang. Their work appears in journals such as Journal of Medicinal Chemistry, Drug Metabolism and Disposition, Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters and Proceedings of the National Academy of Sciences.
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.