Suzanne Tay
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Biochemistry top 10%
Papers in
-
- Pharmacogenetics and Drug Metabolism 7
- Co-authors
- Jane R. Kenny (6 shared papers)Nina Isoherranen (3 shared papers)Siamak Cyrus Khojasteh (5 shared papers)Sophie Mukadam (2 shared papers)Leslie J. Dickmann (2 shared papers)Chenghong Zhang (2 shared papers)Justin D. Lutz (1 shared paper)Aleksandra Galetin (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (4 papers)ACS Medicinal Chemistry Letters (3 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Pharmaceutical Research (2 papers)Biochemical Pharmacology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Suzanne Tay
21 papers receiving 697 citations
Peers
Comparison fields: 5 of 84
- Pharmacology 163
- Biochemistry 55
- Geriatrics and Gerontology 19
- Cellular and Molecular Neuroscience 103
- Molecular Biology 341
Countries citing papers authored by Suzanne Tay
This map shows the geographic impact of Suzanne Tay'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 Suzanne Tay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Tay more than expected).
Fields of papers citing papers by Suzanne Tay
This network shows the impact of papers produced by Suzanne Tay. 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 Suzanne Tay. The network helps show where Suzanne Tay may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne Tay, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 95 | |
| 2 | 2016 | 92 | |
| 3 | 2011 | 87 | |
| 4 | 2012 | 87 | |
| 5 | 2012 | 60 | |
| 6 | 2009 | 43 | |
| 7 | 2012 | 43 | |
| 8 | 2016 | 36 | |
| 9 | 2018 | 36 | |
| 10 | 2008 | 27 | |
| 11 | 2014 | 26 | |
| 12 | 2017 | 26 | |
| 13 | 2016 | 25 | |
| 14 | 2012 | 17 | |
| 15 | 2015 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2015 | 11 | |
| 18 | 1969 | 8 | |
| 19 | 2014 | 5 | |
| 20 | 2018 | 3 |
About Suzanne Tay
Suzanne Tay is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Molecular Biology, Sensory Systems and Oncology, having authored 21 papers that have together received 754 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Drug Transport and Resistance Mechanisms (3 papers), Biochemical and Molecular Research (2 papers), Hormonal Regulation and Hypertension (2 papers), Estrogen and related hormone effects (2 papers), Retinoids in leukemia and cellular processes (2 papers), Ion channel regulation and function (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Pharmacology (163 citations), Biochemistry (55 citations), Geriatrics and Gerontology (19 citations), Cellular and Molecular Neuroscience (103 citations) and Molecular Biology (341 citations). Suzanne Tay has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jane R. Kenny, Nina Isoherranen, Siamak Cyrus Khojasteh, Sophie Mukadam, Leslie J. Dickmann, Chenghong Zhang, Justin D. Lutz, Aleksandra Galetin, Wendel Lane Nelson and Carol J. Collins. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry Letters, Pharmaceutical Research and Biochemical 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.