Steven J. Clapcote

4.8k total citations
49 papers, 2.5k citations indexed

About

Steven J. Clapcote is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Steven J. Clapcote has authored 49 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 12 papers in Genetics. Recurrent topics in Steven J. Clapcote's work include Genetics and Neurodevelopmental Disorders (11 papers), Phosphodiesterase function and regulation (11 papers) and Ion Transport and Channel Regulation (9 papers). Steven J. Clapcote is often cited by papers focused on Genetics and Neurodevelopmental Disorders (11 papers), Phosphodiesterase function and regulation (11 papers) and Ion Transport and Channel Regulation (9 papers). Steven J. Clapcote collaborates with scholars based in United Kingdom, Canada and United States. Steven J. Clapcote's co-authors include John Roder, Tatiana V. Lipina, Allison R. Bechard, J. Kirsty Millar, David J. Porteous, Greer S. Kirshenbaum, John G. Sled, James Dachtler, Shaun Mackie and Miles D. Houslay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Steven J. Clapcote

47 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven J. Clapcote United Kingdom 25 1.5k 806 574 331 216 49 2.5k
Koko Ishizuka United States 21 1.4k 0.9× 714 0.9× 431 0.8× 247 0.7× 218 1.0× 59 2.5k
Hanna Jaaro-Peled United States 22 1.2k 0.8× 867 1.1× 339 0.6× 327 1.0× 226 1.0× 36 2.1k
Tomoko Toyota Japan 31 1.5k 0.9× 818 1.0× 850 1.5× 398 1.2× 344 1.6× 87 2.8k
Wei‐Dong Yao United States 26 1.6k 1.0× 1.7k 2.1× 362 0.6× 371 1.1× 236 1.1× 47 2.9k
William A. Alaynick United States 22 1.3k 0.9× 628 0.8× 476 0.8× 344 1.0× 296 1.4× 33 2.9k
Ben Pickard United Kingdom 29 2.0k 1.3× 439 0.5× 1.1k 1.9× 216 0.7× 259 1.2× 58 2.9k
Minae Niwa Japan 27 862 0.6× 893 1.1× 213 0.4× 231 0.7× 137 0.6× 56 2.0k
Pawel Licznerski United States 19 1.4k 0.9× 979 1.2× 288 0.5× 325 1.0× 82 0.4× 24 3.0k
Wen‐Sung Lai Taiwan 21 1.0k 0.7× 573 0.7× 454 0.8× 304 0.9× 119 0.6× 49 1.8k
Barry B. Kaplan United States 40 2.1k 1.3× 1.4k 1.7× 459 0.8× 181 0.5× 240 1.1× 107 3.8k

Countries citing papers authored by Steven J. Clapcote

Since Specialization
Citations

This map shows the geographic impact of Steven J. Clapcote'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 Steven J. Clapcote with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven J. Clapcote more than expected).

Fields of papers citing papers by Steven J. Clapcote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Clapcote. 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 Steven J. Clapcote. The network helps show where Steven J. Clapcote may publish in the future.

Co-authorship network of co-authors of Steven J. Clapcote

This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Clapcote. A scholar is included among the top collaborators of Steven J. Clapcote 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 Steven J. Clapcote. Steven J. Clapcote is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ligneul, Clémence, C Chatelain, Christophe Barrea, et al.. (2025). Autistic behavior is a common outcome of biallelic disruption of PDZD8 in humans and mice. Molecular Autism. 16(1). 14–14.
2.
Güngör, Hüseyin, Edward T. Parkin, Jamie Johnston, et al.. (2024). Protective effect of PDE4B subtype-specific inhibition in an App knock-in mouse model for Alzheimer’s disease. Neuropsychopharmacology. 49(10). 1559–1568. 13 indexed citations
3.
4.
Lipina, Tatiana V., Shupeng Li, Tamara G. Amstislavskaya, et al.. (2024). PDE4B Missense Variant Increases Susceptibility to Post-traumatic Stress Disorder-Relevant Phenotypes in Mice. Journal of Neuroscience. 44(43). e0137242024–e0137242024. 4 indexed citations
5.
6.
Clapcote, Steven J., et al.. (2021). Targeting KNa1.1 channels in KCNT1-associated epilepsy. Trends in Pharmacological Sciences. 42(8). 700–713. 25 indexed citations
7.
Alsaady, Isra, Greg C. Bristow, Matthew B. Reeves, et al.. (2018). Downregulation of the Central Noradrenergic System by Toxoplasma gondii Infection. Infection and Immunity. 87(2). 23 indexed citations
8.
Al‐Mamari, Watfa, et al.. (2018). LHFPL5 mutation: A rare cause of non-syndromic autosomal recessive hearing loss. European Journal of Medical Genetics. 62(12). 103592–103592. 5 indexed citations
9.
Dachtler, James, et al.. (2015). Heterozygous deletion of α-neurexin I or α-neurexin II results in behaviors relevant to autism and schizophrenia.. Behavioral Neuroscience. 129(6). 765–776. 61 indexed citations
10.
Kirshenbaum, Greer S., James Dachtler, John Roder, & Steven J. Clapcote. (2015). Characterization of cognitive deficits in mice with an alternating hemiplegia-linked mutation.. Behavioral Neuroscience. 129(6). 822–831. 18 indexed citations
11.
Dachtler, James, Rotem Cohen, José Luis Ivorra, et al.. (2014). Deletion of α-neurexin II results in autism-related behaviors in mice. Translational Psychiatry. 4(11). e484–e484. 63 indexed citations
12.
Heinzen, Erin L., Alexis Arzimanoglou, Allison Brashear, et al.. (2014). Distinct neurological disorders with ATP1A3 mutations. The Lancet Neurology. 13(5). 503–514. 178 indexed citations
13.
Zhang, Li, Da‐Wei Fu, Pavel V. Belichenko, et al.. (2012). Genetic analysis of Down syndrome facilitated by mouse chromosome engineering. Bioengineered. 3(1). 8–12. 10 indexed citations
14.
Lee, Frankie H. F., Marc P. Fadel, Sabine P. Cordes, et al.. (2011). Disc1Point Mutations in Mice Affect Development of the Cerebral Cortex. Journal of Neuroscience. 31(9). 3197–3206. 101 indexed citations
15.
Xie, Gang, John Harrison, Steven J. Clapcote, et al.. (2010). A New Kv1.2 Channelopathy Underlying Cerebellar Ataxia. Journal of Biological Chemistry. 285(42). 32160–32173. 73 indexed citations
16.
Lipina, Tatiana V., Oksana Kaidanovich‐Beilin, Satish Patel, et al.. (2010). Genetic and pharmacological evidence for schizophrenia‐related Disc1 interaction with GSK‐3. Synapse. 65(3). 234–248. 69 indexed citations
17.
Ng, David, Graham M. Pitcher, Rachel K. Szilard, et al.. (2009). Neto1 Is a Novel CUB-Domain NMDA Receptor–Interacting Protein Required for Synaptic Plasticity and Learning. PLoS Biology. 7(2). e1000041–e1000041. 141 indexed citations
18.
Young, Edwin J., Tatiana V. Lipina, Ariane Mandel, et al.. (2007). Reduced fear and aggression and altered serotonin metabolism in Gtf2ird1‐targeted mice. Genes Brain & Behavior. 7(2). 224–234. 83 indexed citations
19.
Clapcote, Steven J. & John Roder. (2006). Deletion Polymorphism of Disc1 Is Common to All 129 Mouse Substrains: Implications for Gene-Targeting Studies of Brain Function. Genetics. 173(4). 2407–2410. 61 indexed citations
20.
Clapcote, Steven J. & John Roder. (2005). Simplex PCR Assay for Sex Determination in Mice. BioTechniques. 38(5). 702–706. 116 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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