Duncan Laverty

1.7k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Duncan Laverty is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Duncan Laverty has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 1 paper in Genetics. Recurrent topics in Duncan Laverty's work include Nicotinic Acetylcholine Receptors Study (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Ion channel regulation and function (3 papers). Duncan Laverty is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Ion channel regulation and function (3 papers). Duncan Laverty collaborates with scholars based in United Kingdom, United States and Belgium. Duncan Laverty's co-authors include A.R. Aricescu, Els Pardon, Jasenko Zivanov, Tomas Malinauskas, Jan Steyaert, Rooma Desai, Keith W. Miller, Simonas Masiulis, Tomasz Uchański and Michael J. Marks and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Structural & Molecular Biology.

In The Last Decade

Duncan Laverty

8 papers receiving 1.0k citations

Hit Papers

GABAA receptor signalling mechanisms revealed by structur... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Duncan Laverty United Kingdom 7 816 585 75 55 47 8 1.0k
Simonas Masiulis United Kingdom 9 799 1.0× 560 1.0× 49 0.7× 49 0.9× 33 0.7× 14 1.1k
Emily Days United States 20 944 1.2× 822 1.4× 60 0.8× 62 1.1× 81 1.7× 34 1.3k
Rooma Desai United States 17 1.1k 1.4× 815 1.4× 46 0.6× 69 1.3× 70 1.5× 25 1.5k
Shaotong Zhu United States 9 526 0.6× 408 0.7× 53 0.7× 59 1.1× 39 0.8× 17 875
Joachim Ramerstorfer Austria 14 556 0.7× 502 0.9× 43 0.6× 47 0.9× 42 0.9× 18 771
Sonja Sučić Austria 23 649 0.8× 582 1.0× 104 1.4× 19 0.3× 56 1.2× 52 1.3k
Anant Gharpure United States 7 699 0.9× 270 0.5× 78 1.0× 54 1.0× 70 1.5× 10 897
Mario Mezler Germany 16 345 0.4× 602 1.0× 99 1.3× 35 0.6× 97 2.1× 38 902
Maria V. Yelshanskaya United States 16 923 1.1× 802 1.4× 33 0.4× 26 0.5× 69 1.5× 33 1.4k
Stephan A. Pless Denmark 24 1.2k 1.5× 563 1.0× 37 0.5× 78 1.4× 69 1.5× 61 1.5k

Countries citing papers authored by Duncan Laverty

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Duncan Laverty

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan Laverty. A scholar is included among the top collaborators of Duncan Laverty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Duncan Laverty. Duncan Laverty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Day, Philip J., Duncan Laverty, Juan A. Bueren‐Calabuig, et al.. (2024). Protein engineering enables a soakable crystal form of human CDK7 primed for high-throughput crystallography and structure-based drug design. Structure. 32(8). 1040–1048.e3. 3 indexed citations
2.
Masiulis, Simonas, Rooma Desai, Tomasz Uchański, et al.. (2018). GABAA receptor signalling mechanisms revealed by structural pharmacology. Nature. 565(7740). 454–459. 399 indexed citations breakdown →
3.
Laverty, Duncan, Rooma Desai, Tomasz Uchański, et al.. (2018). Cryo-EM structure of the human α1β3γ2 GABAA receptor in a lipid bilayer. Nature. 565(7740). 516–520. 223 indexed citations
4.
Laverty, Duncan, Philip Thomas, Martin J. Field, et al.. (2017). Crystal structures of a GABAA-receptor chimera reveal new endogenous neurosteroid-binding sites. Nature Structural & Molecular Biology. 24(11). 977–985. 147 indexed citations
5.
Fourati, Zaineb, Reinis R. Ruza, Duncan Laverty, et al.. (2016). Barbiturates Bind in the GLIC Ion Channel Pore and Cause Inhibition by Stabilizing a Closed State. Journal of Biological Chemistry. 292(5). 1550–1558. 15 indexed citations
6.
Laverty, Duncan, et al.. (2014). Inhibitory Neurosteroids and the GABAA Receptor. Advances in pharmacology. 72. 165–187. 29 indexed citations
7.
O’Neill, Heidi C., Duncan Laverty, Natalie E. Patzlaff, et al.. (2012). Mice expressing the ADNFLE valine 287 leucine mutation of the Β2 nicotinic acetylcholine receptor subunit display increased sensitivity to acute nicotine administration and altered presynaptic nicotinic receptor function. Pharmacology Biochemistry and Behavior. 103(3). 603–621. 24 indexed citations
8.
Grady, Sharon R., Outi Salminen, Duncan Laverty, et al.. (2007). The subtypes of nicotinic acetylcholine receptors on dopaminergic terminals of mouse striatum. Biochemical Pharmacology. 74(8). 1235–1246. 206 indexed citations

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.

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