Simon Low
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
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- Computational Drug Discovery Methods
Papers in
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- Microtubule and mitosis dynamics 2
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- Protein Kinase Regulation and GTPase Signaling 2
- Protein Tyrosine Phosphatases 2
- Protein Structure and Dynamics 1
- Ion channel regulation and function 1
- Phosphodiesterase function and regulation 1
- Co-authors
- Yuanhua Ding (4 shared papers)Michael Kothe (3 shared papers)Darcy Kohls (3 shared papers)Rocco Coli (3 shared papers)Cyrille F. Kuhn (3 shared papers)Glen R. Rennie (2 shared papers)Frédéric Féru (2 shared papers)Alan C. Cheng (2 shared papers)
- Journals
- Biochemistry (2 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Journal of Molecular Biology (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United States
In The Last Decade
Simon Low
8 papers receiving 417 citations
Peers
Comparison fields: 5 of 49
- Cell Biology 101
- Computational Theory and Mathematics 79
- Molecular Biology 139
- Surgery 80
- Organic Chemistry 47
Countries citing papers authored by Simon Low
This map shows the geographic impact of Simon Low'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 Simon Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Low more than expected).
Fields of papers citing papers by Simon Low
This network shows the impact of papers produced by Simon Low. 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 Simon Low. The network helps show where Simon Low may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Low, 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 | 2014 | 118 | |
| 2 | 2007 | 112 | |
| 3 | 2007 | 110 | |
| 4 | 2005 | 52 | |
| 5 | 2015 | 22 | |
| 6 | 2009 | 11 | |
| 7 | 2017 | 11 | |
| 8 | 2010 | 10 |
About Simon Low
Simon Low is a scholar working on Cell Biology, Molecular Biology, Organic Chemistry, Oncology and Materials Chemistry, having authored 8 papers that have together received 446 indexed citations. Recurring topics across this work include Synthesis and biological activity (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Microtubule and mitosis dynamics (2 papers), Protein Tyrosine Phosphatases (2 papers), Protein Structure and Dynamics (1 paper), Ion channel regulation and function (1 paper), Phosphodiesterase function and regulation (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). The work is most often cited by research in Cell Biology (101 citations), Computational Theory and Mathematics (79 citations), Molecular Biology (139 citations), Surgery (80 citations) and Organic Chemistry (47 citations). Simon Low has collaborated with scholars based in United States. Frequent co-authors include Yuanhua Ding, Michael Kothe, Darcy Kohls, Rocco Coli, Cyrille F. Kuhn, Glen R. Rennie, Frédéric Féru, Alan C. Cheng, Theresa L. Johnson and Suzanne L. Jacques. Their work appears in journals such as Biochemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, Journal of Molecular Biology and Molecular Pharmacology.
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.