Michael Siu
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
-
- Genomics, phytochemicals, and oxidative stress 2
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- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Pam Cheung (1 shared paper)Yan Leng (1 shared paper)Spencer A. Freeman (1 shared paper)Enrico Arpaia (1 shared paper)Karen Badour (1 shared paper)Katherine A. Siminovitch (1 shared paper)Jinyi Zhang (1 shared paper)Emmanuel A. Theodorakis (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (4 papers)Drug Metabolism and Disposition (3 papers)Tetrahedron Letters (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Michael Siu
26 papers receiving 937 citations
Peers
Comparison fields: 5 of 101
- Immunology and Allergy 54
- Cell Biology 131
- Biomaterials 91
- Biomedical Engineering 241
- Molecular Biology 372
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 306 | |
| 2 | 2005 | 184 | |
| 3 | 2017 | 51 | |
| 4 | 2017 | 48 | |
| 5 | 2015 | 45 | |
| 6 | 2018 | 41 | |
| 7 | 2000 | 38 | |
| 8 | 2009 | 35 | |
| 9 | 2016 | 35 | |
| 10 | 2002 | 35 | |
| 11 | 2019 | 27 | |
| 12 | 2006 | 23 | |
| 13 | 2013 | 17 | |
| 14 | 2002 | 13 | |
| 15 | 2016 | 13 | |
| 16 | 2017 | 11 | |
| 17 | 2014 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2017 | 7 | |
| 20 | 2013 | 3 |
About Michael Siu
Michael Siu is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Oncology and Computational Theory and Mathematics, having authored 27 papers that have together received 959 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), Alzheimer's disease research and treatments (2 papers), Plant Molecular Biology Research (2 papers), Synthetic Organic Chemistry Methods (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Ion Channels and Receptors (2 papers). The work is most often cited by research in Immunology and Allergy (54 citations), Cell Biology (131 citations), Biomaterials (91 citations), Biomedical Engineering (241 citations) and Molecular Biology (372 citations). Michael Siu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Pam Cheung, Yan Leng, Spencer A. Freeman, Enrico Arpaia, Karen Badour, Katherine A. Siminovitch, Jinyi Zhang, Emmanuel A. Theodorakis, Heemin Kang and Yongsung Hwang. Their work appears in journals such as Journal of Medicinal Chemistry, Drug Metabolism and Disposition, Tetrahedron Letters, Bioorganic & Medicinal Chemistry 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.