Duncan Laverty
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Photoreceptor and optogenetics research
- Structural Biology top 5%
Papers in
-
- Nicotinic Acetylcholine Receptors Study 6
- Ion channel regulation and function 3
- Receptor Mechanisms and Signaling 2
-
- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Rooma Desai (2 shared papers)Jasenko Zivanov (2 shared papers)Tomasz Uchański (2 shared papers)Keith W. Miller (2 shared papers)Els Pardon (2 shared papers)Tomas Malinauskas (2 shared papers)Simonas Masiulis (2 shared papers)A.R. Aricescu (2 shared papers)
- Journals
- Nature (2 papers)Advances in pharmacology (1 paper)Journal of Biological Chemistry (1 paper)Structure (1 paper)Pharmacology Biochemistry and Behavior (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Duncan Laverty
8 papers receiving 1.1k citations
Duncan Laverty's Hit Papers
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 583
- Structural Biology 35
- Biological Psychiatry 32
- Molecular Biology 820
- 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 | 422 |
| 2 | 2018 | 229 | |
| 3 | 2007 | 221 | |
| 4 | 2017 | 147 | |
| 5 | 2014 | 29 | |
| 6 | 2012 | 25 | |
| 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 1.1k 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), Chronic Lymphocytic Leukemia Research (1 paper), Tryptophan and brain disorders (1 paper), Enzyme Structure and Function (1 paper) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (583 citations), Structural Biology (35 citations), Biological Psychiatry (32 citations), Molecular Biology (820 citations) and Behavioral Neuroscience (20 citations). Duncan Laverty has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Rooma Desai, Jasenko Zivanov, Tomasz Uchański, Keith W. Miller, Els Pardon, Tomas Malinauskas, Simonas Masiulis, A.R. Aricescu, Jan Steyaert and J. Michael McIntosh. Their work appears in journals such as Nature, Advances in pharmacology, Journal of Biological Chemistry, Structure and Pharmacology Biochemistry and Behavior.
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.