Joshua S. Kaplan

1.1k total citations
19 papers, 571 citations indexed

About

Joshua S. Kaplan is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Endocrine and Autonomic Systems. According to data from OpenAlex, Joshua S. Kaplan has authored 19 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 7 papers in Pharmacology and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Joshua S. Kaplan's work include Neuroscience and Neuropharmacology Research (8 papers), Cannabis and Cannabinoid Research (6 papers) and Neuroscience of respiration and sleep (5 papers). Joshua S. Kaplan is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Cannabis and Cannabinoid Research (6 papers) and Neuroscience of respiration and sleep (5 papers). Joshua S. Kaplan collaborates with scholars based in United States, Australia and United Kingdom. Joshua S. Kaplan's co-authors include Nephi Stella, William A. Catterall, Ruth E. Westenbroek, David J. Rossi, Claudia Mohr, David L. Goldman, Barry G. England, Deborah A. Finn, Alistair J. Gunn and A. Roger Hohimer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Joshua S. Kaplan

17 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua S. Kaplan United States 11 297 284 141 108 99 19 571
Michal Tzadok Israel 15 163 0.5× 203 0.7× 228 1.6× 126 1.2× 146 1.5× 34 746
Duncan Ryan United Kingdom 7 333 1.1× 253 0.9× 38 0.3× 153 1.4× 113 1.1× 7 565
Stephanie A. Matthews United States 12 124 0.4× 266 0.9× 152 1.1× 114 1.1× 161 1.6× 22 707
Hakim Houchi France 11 179 0.6× 297 1.0× 21 0.1× 53 0.5× 103 1.0× 24 564
Laura Latini Italy 15 259 0.9× 252 0.9× 15 0.1× 85 0.8× 191 1.9× 19 737
Misha M. Riley United States 8 121 0.4× 146 0.5× 133 0.9× 56 0.5× 199 2.0× 13 625
Anna Chiarlone Spain 9 260 0.9× 241 0.8× 17 0.1× 60 0.6× 115 1.2× 10 522
Shi-Jie Liu United States 11 58 0.2× 166 0.6× 68 0.5× 26 0.2× 217 2.2× 11 587
Feifei Liao China 14 68 0.2× 304 1.1× 44 0.3× 64 0.6× 217 2.2× 25 721
Camila M. Santos Brazil 13 100 0.3× 117 0.4× 135 1.0× 45 0.4× 65 0.7× 16 376

Countries citing papers authored by Joshua S. Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Joshua S. Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua S. Kaplan. 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 Joshua S. Kaplan. The network helps show where Joshua S. Kaplan may publish in the future.

Co-authorship network of co-authors of Joshua S. Kaplan

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

All Works

19 of 19 papers shown
1.
Smolenski, Derek J., et al.. (2025). Self-compassion attenuates the association between PTSD severity and suicidal ideation severity among veterans. Journal of Affective Disorders. 390. 119838–119838.
2.
Cameron, David, et al.. (2024). Predictors of evidence-based psychotherapy initiation among veterans with co-occurring PTSD and substance use disorder. Frontiers in Psychiatry. 15. 1432361–1432361.
3.
Wagner, Janice D., et al.. (2024). Sex Differences in the Anxiolytic Properties of Common Cannabis Terpenes, Linalool and β-Myrcene, in Mice. SHILAP Revista de lepidopterología. 5(4). 635–649. 2 indexed citations
4.
Goldman, David L., et al.. (2023). Cannabidiol's neuroprotective properties and potential treatment of traumatic brain injuries. Frontiers in Neurology. 14. 1087011–1087011. 17 indexed citations
5.
Oswald, Iain W. H., et al.. (2023). Cannabidiol and cannabis-inspired terpene blends have acute prosocial effects in the BTBR mouse model of autism spectrum disorder. Frontiers in Neuroscience. 17. 1185737–1185737. 14 indexed citations
6.
Westenbroek, Ruth E., et al.. (2023). The serine hydrolase ABHD6 controls survival and thermally induced seizures in a mouse model of Dravet syndrome. Neurobiology of Disease. 180. 106099–106099. 2 indexed citations
7.
Kaplan, Joshua S., et al.. (2021). Cannabidiol Exposure During the Mouse Adolescent Period Is Without Harmful Behavioral Effects on Locomotor Activity, Anxiety, and Spatial Memory. Frontiers in Behavioral Neuroscience. 15. 14 indexed citations
8.
9.
Kaplan, Joshua S., et al.. (2019). ABHD6: Its Place in Endocannabinoid Signaling and Beyond. Trends in Pharmacological Sciences. 40(4). 267–277. 44 indexed citations
10.
Kaplan, Joshua S., et al.. (2019). Hippocampal deletion of Na V 1.1 channels in mice causes thermal seizures and cognitive deficit characteristic of Dravet Syndrome. Proceedings of the National Academy of Sciences. 116(33). 16571–16576. 44 indexed citations
11.
Kaplan, Joshua S., Nephi Stella, William A. Catterall, & Ruth E. Westenbroek. (2017). Cannabidiol attenuates seizures and social deficits in a mouse model of Dravet syndrome. Proceedings of the National Academy of Sciences. 114(42). 11229–11234. 286 indexed citations
12.
Kaplan, Joshua S., B. D. Richardson, Jeffrey T. Jensen, et al.. (2016). Pharmacologically Counteracting a Phenotypic Difference in Cerebellar GABAA Receptor Response to Alcohol Prevents Excessive Alcohol Consumption in a High Alcohol-Consuming Rodent Genotype. Journal of Neuroscience. 36(35). 9019–9025. 11 indexed citations
13.
Kaplan, Joshua S., Claudia Mohr, Caroline M. Hostetler, et al.. (2016). Alcohol Suppresses Tonic GABAAReceptor Currents in Cerebellar Granule Cells in the Prairie Vole: A Neural Signature of High‐Alcohol‐Consuming Genotypes. Alcoholism Clinical and Experimental Research. 40(8). 1617–1626. 6 indexed citations
14.
McClendon, Evelyn, Kevin Chen, Xi Gong, et al.. (2014). Prenatal cerebral ischemia triggers dysmaturation of caudate projection neurons. Annals of Neurology. 75(4). 508–524. 54 indexed citations
15.
Mohr, Claudia, Joshua S. Kaplan, John P. Welsh, et al.. (2013). Primate cerebellar granule cells exhibit a tonic GABAAR conductance that is not affected by alcohol: a possible cellular substrate of the low level of response phenotype. Frontiers in Neural Circuits. 7. 189–189. 12 indexed citations
16.
Kaplan, Joshua S., Claudia Mohr, & David J. Rossi. (2013). Opposite actions of alcohol on tonic GABAA receptor currents mediated by nNOS and PKC activity. Nature Neuroscience. 16(12). 1783–1793. 39 indexed citations
17.
18.
Kaplan, Joshua S., et al.. (1999). Is pregnancy in diabetic women associated with folate deficiency?. Diabetes Care. 22(7). 1017–1021. 18 indexed citations
19.
Alexopoulos, George S., et al.. (1995). Prolactin release and clinical response to electroconvulsive therapy in depressed geriatric inpatients: a preliminary report.. PubMed. 11(1). 24–31. 4 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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