Suzanne Tay
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Biochemistry top 10%
- Antioxidant Activity and Oxidative Stress
Papers in
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- Pharmacogenetics and Drug Metabolism 8
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- Retinoids in leukemia and cellular processes 2
- Co-authors
- Jane R. Kenny (6 shared papers)Nina Isoherranen (3 shared papers)Leslie J. Dickmann (2 shared papers)Sophie Mukadam (2 shared papers)S. Cyrus Khojasteh (4 shared papers)Chenghong Zhang (2 shared papers)Wendel L. Nelson (1 shared paper)Ariel R. Topletz (1 shared paper)
- Journals
- Pharmaceutical Research (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Biochemical Pharmacology (2 papers)ACS Medicinal Chemistry Letters (1 paper)Drug Metabolism and Pharmacokinetics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Suzanne Tay
15 papers receiving 382 citations
Peers
Comparison fields: 5 of 75
- Pharmacology 144
- Biochemistry 46
- Oncology 112
- Transplantation 7
- Computational Theory and Mathematics 40
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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 86 | |
| 2 | 2012 | 79 | |
| 3 | 2011 | 77 | |
| 4 | 2009 | 41 | |
| 5 | 2008 | 26 | |
| 6 | 2016 | 22 | |
| 7 | 2017 | 19 | |
| 8 | 2012 | 13 | |
| 9 | 2016 | 12 | |
| 10 | 2015 | 9 | |
| 11 | 2015 | 8 | |
| 12 | 1969 | 7 | |
| 13 | 2014 | 5 | |
| 14 | 2018 | 3 | |
| 15 | 2014 | 1 |
About Suzanne Tay
Suzanne Tay is a scholar working on Pharmacology, Molecular Biology, Oncology, Computational Theory and Mathematics and Statistics and Probability, having authored 15 papers that have together received 408 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Drug Transport and Resistance Mechanisms (4 papers), Computational Drug Discovery Methods (3 papers), Statistical Methods in Clinical Trials (3 papers), Estrogen and related hormone effects (2 papers), Retinoids in leukemia and cellular processes (2 papers), Hormonal Regulation and Hypertension (2 papers) and Postharvest Quality and Shelf Life Management (1 paper). The work is most often cited by research in Pharmacology (144 citations), Biochemistry (46 citations), Oncology (112 citations), Transplantation (7 citations) and Computational Theory and Mathematics (40 citations). Suzanne Tay has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Jane R. Kenny, Nina Isoherranen, Leslie J. Dickmann, Sophie Mukadam, S. Cyrus Khojasteh, Chenghong Zhang, Wendel L. Nelson, Ariel R. Topletz, Aleksandra Galetin and Carol Collins. Their work appears in journals such as Pharmaceutical Research, Bioorganic & Medicinal Chemistry Letters, Biochemical Pharmacology, ACS Medicinal Chemistry Letters and Drug Metabolism and Pharmacokinetics.
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.