Duncan Laverty
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Photoreceptor and optogenetics research
- Structural Biology top 5%
Papers in
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- Nicotinic Acetylcholine Receptors Study 6
- Ion channel regulation and function 3
- Receptor Mechanisms and Signaling 2
- Lipid Membrane Structure and Behavior 1
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- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Keith W. Miller (2 shared papers)Tomas Malinauskas (2 shared papers)Jasenko Zivanov (2 shared papers)Els Pardon (2 shared papers)Rooma Desai (2 shared papers)Simonas Masiulis (2 shared papers)Jan Steyaert (2 shared papers)A.R. Aricescu (2 shared papers)
- Journals
- Nature (2 papers)Structure (1 paper)Pharmacology Biochemistry and Behavior (1 paper)Biochemical Pharmacology (1 paper)Advances in pharmacology (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Duncan Laverty
8 papers receiving 1.0k citations
Duncan Laverty's Hit Papers
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 585
- Structural Biology 33
- Biological Psychiatry 34
- Molecular Biology 816
- Behavioral Neuroscience 20
Countries citing papers authored by Duncan Laverty
This map shows the geographic impact of Duncan Laverty'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 Duncan Laverty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan Laverty more than expected).
Fields of papers citing papers by Duncan Laverty
This network shows the impact of papers produced by Duncan Laverty. 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 Duncan Laverty. The network helps show where Duncan Laverty may publish in the future.
Co-authors
The 25 scholars most cited alongside Duncan Laverty, 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 | GABAA receptor signalling mechanisms revealed by structural pharmacology Hit paper breakdown → | 2018 | 399 |
| 2 | 2018 | 223 | |
| 3 | 2007 | 206 | |
| 4 | 2017 | 147 | |
| 5 | 2014 | 29 | |
| 6 | 2012 | 24 | |
| 7 | 2016 | 15 | |
| 8 | 2024 | 3 |
About Duncan Laverty
Duncan Laverty is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Social Psychology and Biological Psychiatry, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Nicotinic Acetylcholine Receptors Study (6 papers), Ion channel regulation and function (3 papers), Receptor Mechanisms and Signaling (2 papers), Enzyme Structure and Function (1 paper), Cancer-related Molecular Pathways (1 paper), Stress Responses and Cortisol (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (585 citations), Structural Biology (33 citations), Biological Psychiatry (34 citations), Molecular Biology (816 citations) and Behavioral Neuroscience (20 citations). Duncan Laverty has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Keith W. Miller, Tomas Malinauskas, Jasenko Zivanov, Els Pardon, Rooma Desai, Simonas Masiulis, Jan Steyaert, A.R. Aricescu, Tomasz Uchański and Michael J. Marks. Their work appears in journals such as Nature, Structure, Pharmacology Biochemistry and Behavior, Biochemical Pharmacology and Advances in 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.