Graeme Kay
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
- Biochemistry 10
- Amino Acid Enzymes and Metabolism 8
- Phytochemicals and Antioxidant Activities 1
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- Biomedical Research and Pathophysiology 9
- Co-authors
- Paul Kong Thoo Lin (5 shared papers)Donald Cairns (10 shared papers)Laura Blaikie (3 shared papers)Rachel M. Knott (6 shared papers)Kerr H. Matthews (4 shared papers)Barbara McKenzie (3 shared papers)Ian L. Megson (2 shared papers)Maureen Byres (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)International Journal of Pharmaceutics (3 papers)MedChemComm (2 papers)European Journal of Medicinal Chemistry (1 paper)Expert Review of Ophthalmology (1 paper)
- Partner nations
- United KingdomPortugalSwitzerland
In The Last Decade
Graeme Kay
18 papers receiving 445 citations
Peers
Comparison fields: 5 of 85
- Pharmaceutical Science 66
- Biochemistry 58
- Pharmacology 105
- Pathology and Forensic Medicine 80
- Biological Psychiatry 11
Countries citing papers authored by Graeme Kay
This map shows the geographic impact of Graeme Kay'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 Graeme Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graeme Kay more than expected).
Fields of papers citing papers by Graeme Kay
This network shows the impact of papers produced by Graeme Kay. 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 Graeme Kay. The network helps show where Graeme Kay may publish in the future.
Co-authors
The 13 scholars most cited alongside Graeme Kay, 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 | 2019 | 90 | |
| 2 | 2015 | 87 | |
| 3 | 2008 | 39 | |
| 4 | 2019 | 38 | |
| 5 | 2017 | 38 | |
| 6 | 2010 | 38 | |
| 7 | 2020 | 22 | |
| 8 | 2016 | 21 | |
| 9 | 2008 | 19 | |
| 10 | 2011 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2011 | 9 | |
| 13 | 2010 | 9 | |
| 14 | 2003 | 8 | |
| 15 | 2015 | 6 | |
| 16 | 2012 | 3 | |
| 17 | 2009 | 1 | |
| 18 | 2013 | 1 |
About Graeme Kay
Graeme Kay is a scholar working on Biochemistry, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health, Pharmacology and Computational Theory and Mathematics, having authored 18 papers that have together received 451 indexed citations. Recurring topics across this work include Biomedical Research and Pathophysiology (9 papers), Amino Acid Enzymes and Metabolism (8 papers), Neonatal Health and Biochemistry (7 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Computational Drug Discovery Methods (3 papers), Alzheimer's disease research and treatments (2 papers), Molecular Sensors and Ion Detection (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Pharmaceutical Science (66 citations), Biochemistry (58 citations), Pharmacology (105 citations), Pathology and Forensic Medicine (80 citations) and Biological Psychiatry (11 citations). Graeme Kay has collaborated with scholars based in United Kingdom, Portugal and Switzerland. Frequent co-authors include Paul Kong Thoo Lin, Donald Cairns, Laura Blaikie, Rachel M. Knott, Kerr H. Matthews, Barbara McKenzie, Ian L. Megson, Maureen Byres, Philip Cox and Ziad Omran. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, International Journal of Pharmaceutics, MedChemComm, European Journal of Medicinal Chemistry and Expert Review of Ophthalmology.
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.