Andy Vinter
Impact in
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- Computational Drug Discovery Methods
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- Synthesis and biological activity
- Click Chemistry and Applications
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 1
- Machine Learning in Bioinformatics 1
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- Computational Drug Discovery Methods 4
- Co-authors
- Mark Mackey (4 shared papers)Sally Rose (3 shared papers)Brian R. Walker (2 shared papers)Jonathan R. Seckl (2 shared papers)Peter Ward (2 shared papers)Margaret Binnie (2 shared papers)Scott P. Webster (2 shared papers)Karen Sooy (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Expert Opinion on Drug Discovery (1 paper)Chemical Communications (1 paper)Journal of Chemical Information and Modeling (1 paper)Chemistry Central Journal (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Andy Vinter
7 papers receiving 424 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 155
- Organic Chemistry 105
- Pharmacology 60
- Pharmacology 30
- Molecular Biology 233
Countries citing papers authored by Andy Vinter
This map shows the geographic impact of Andy Vinter'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 Andy Vinter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Vinter more than expected).
Fields of papers citing papers by Andy Vinter
This network shows the impact of papers produced by Andy Vinter. 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 Andy Vinter. The network helps show where Andy Vinter may publish in the future.
Co-authors
The 16 scholars most cited alongside Andy Vinter, 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 | 2006 | 311 | |
| 2 | 2007 | 59 | |
| 3 | 2007 | 44 | |
| 4 | 2010 | 22 | |
| 5 | 2004 | 5 | |
| 6 | 2010 | 2 | |
| 7 | 2008 | 1 |
About Andy Vinter
Andy Vinter is a scholar working on Molecular Biology, Computational Theory and Mathematics, Endocrinology, Diabetes and Metabolism, Pharmacology and Surgery, having authored 7 papers that have together received 444 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Hormonal Regulation and Hypertension (3 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Machine Learning in Bioinformatics (1 paper), Apelin-related biomedical research (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Analytical Chemistry and Chromatography (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Computational Theory and Mathematics (155 citations), Organic Chemistry (105 citations), Pharmacology (60 citations), Pharmacology (30 citations) and Molecular Biology (233 citations). Andy Vinter has collaborated with scholars based in United Kingdom. Frequent co-authors include Mark Mackey, Sally Rose, Brian R. Walker, Jonathan R. Seckl, Peter Ward, Margaret Binnie, Scott P. Webster, Karen Sooy, Eilidh Craigie and Hazel J. Dyke. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Expert Opinion on Drug Discovery, Chemical Communications, Journal of Chemical Information and Modeling and Chemistry Central Journal.
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.