Justin R. Yates

711 total citations
37 papers, 525 citations indexed

About

Justin R. Yates is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Justin R. Yates has authored 37 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 18 papers in Cognitive Neuroscience and 10 papers in Psychiatry and Mental health. Recurrent topics in Justin R. Yates's work include Neurotransmitter Receptor Influence on Behavior (31 papers), Memory and Neural Mechanisms (15 papers) and Attention Deficit Hyperactivity Disorder (10 papers). Justin R. Yates is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (31 papers), Memory and Neural Mechanisms (15 papers) and Attention Deficit Hyperactivity Disorder (10 papers). Justin R. Yates collaborates with scholars based in United States. Justin R. Yates's co-authors include Michael T. Bardo, Joshua S. Beckmann, Cassandra D. Gipson, Andrew C. Meyer, Julie A. Marusich, Mahesh Darna, Linda P. Dwoskin, Katherine K. Rogers, Thomas R. Zentall and Jennifer L. Perry and has published in prestigious journals such as Brain Research, Neuroscience and Psychopharmacology.

In The Last Decade

Justin R. Yates

36 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin R. Yates United States 14 347 202 121 94 76 37 525
Jonathan J. Chow United States 15 318 0.9× 156 0.8× 105 0.9× 72 0.8× 93 1.2× 25 485
Jay G. Hosking Canada 11 272 0.8× 294 1.5× 80 0.7× 70 0.7× 57 0.8× 11 540
Renee A. Rotolo United States 11 267 0.8× 142 0.7× 89 0.7× 115 1.2× 66 0.9× 21 413
Rose E. Presby Spain 11 262 0.8× 139 0.7× 89 0.7× 114 1.2× 64 0.8× 18 401
Jen-Hau Yang United States 10 238 0.7× 143 0.7× 76 0.6× 90 1.0× 60 0.8× 14 367
Claudine Le Bihan France 8 350 1.0× 172 0.9× 115 1.0× 74 0.8× 133 1.8× 10 520
Cara L. Buck United States 6 218 0.6× 205 1.0× 102 0.8× 104 1.1× 83 1.1× 7 580
T. H. C. Cheung United Kingdom 17 460 1.3× 400 2.0× 93 0.8× 50 0.5× 151 2.0× 33 780
Paul J. Cocker Canada 18 448 1.3× 327 1.6× 77 0.6× 81 0.9× 98 1.3× 24 778
Leontien Diergaarde Netherlands 10 589 1.7× 348 1.7× 121 1.0× 102 1.1× 189 2.5× 13 778

Countries citing papers authored by Justin R. Yates

Since Specialization
Citations

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

Fields of papers citing papers by Justin R. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin R. Yates. 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 Justin R. Yates. The network helps show where Justin R. Yates may publish in the future.

Co-authorship network of co-authors of Justin R. Yates

This figure shows the co-authorship network connecting the top 25 collaborators of Justin R. Yates. A scholar is included among the top collaborators of Justin R. Yates 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 Justin R. Yates. Justin R. Yates 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.
Yates, Justin R.. (2024). Aberrant glutamatergic systems underlying impulsive behaviors: Insights from clinical and preclinical research. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 135. 111107–111107. 4 indexed citations
2.
Yates, Justin R.. (2023). Quantifying conditioned place preference: a review of current analyses and a proposal for a novel approach. Frontiers in Behavioral Neuroscience. 17. 1256764–1256764. 8 indexed citations
4.
Yates, Justin R., et al.. (2023). Rats have low motivation to self-administer oral methamphetamine across increasing response requirements. Behavioural Brain Research. 455. 114673–114673. 1 indexed citations
5.
Yates, Justin R., et al.. (2021). Effects of the GluN2B-selective antagonist Ro 63-1908 on acquisition and expression of methamphetamine conditioned place preference in male and female rats. Drug and Alcohol Dependence. 225. 108785–108785. 10 indexed citations
6.
Yates, Justin R., et al.. (2020). Differential effects of glutamate N-methyl-d-aspartate receptor antagonists on risky choice as assessed in the risky decision task. Psychopharmacology. 238(1). 133–148. 7 indexed citations
8.
Yates, Justin R., et al.. (2019). Effects of d-amphetamine and MK-801 on impulsive choice: Modulation by schedule of reinforcement and delay length. Behavioural Brain Research. 376. 112228–112228. 9 indexed citations
9.
Yates, Justin R.. (2018). Dissecting drug effects in preclinical models of impulsive choice: emphasis on glutamatergic compounds. Psychopharmacology. 235(3). 607–626. 11 indexed citations
10.
Yates, Justin R., et al.. (2018). Effects of GluN2B-selective antagonists on delay and probability discounting in male rats: Modulation by delay/probability presentation order.. Experimental and Clinical Psychopharmacology. 26(6). 525–540. 13 indexed citations
11.
Yates, Justin R., et al.. (2018). Effects of N-methyl-d-aspartate receptor (NMDAr) uncompetitive antagonists in a delay discounting paradigm using a concurrent-chains procedure. Behavioural Brain Research. 349. 125–129. 6 indexed citations
12.
Yates, Justin R.. (2018). Examining the neurochemical underpinnings of animal models of risky choice: Methodological and analytic considerations.. Experimental and Clinical Psychopharmacology. 27(2). 178–201. 11 indexed citations
13.
Yates, Justin R., Michael T. Bardo, & Joshua S. Beckmann. (2017). Environmental enrichment and drug value: a behavioral economic analysis in male rats. Addiction Biology. 24(1). 65–75. 24 indexed citations
14.
15.
Yates, Justin R., Mahesh Darna, Cassandra D. Gipson, Linda P. Dwoskin, & Michael T. Bardo. (2015). Dissociable roles of dopamine and serotonin transporter function in a rat model of negative urgency. Behavioural Brain Research. 291. 201–208. 13 indexed citations
16.
Hofford, Rebecca S., et al.. (2015). Sex differences in monoamines following amphetamine and social reward in adolescent rats.. Experimental and Clinical Psychopharmacology. 23(4). 197–205. 16 indexed citations
17.
Yates, Justin R., Mahesh Darna, Joshua S. Beckmann, Linda P. Dwoskin, & Michael T. Bardo. (2015). Individual differences in impulsive action and dopamine transporter function in rat orbitofrontal cortex. Neuroscience. 313. 122–129. 20 indexed citations
18.
Yates, Justin R., Jennifer L. Perry, Andrew C. Meyer, et al.. (2014). Role of medial prefrontal and orbitofrontal monoamine transporters and receptors in performance in an adjusting delay discounting procedure. Brain Research. 1574. 26–36. 30 indexed citations
19.
Yates, Justin R., Joshua S. Beckmann, Andrew C. Meyer, & Michael T. Bardo. (2013). Concurrent choice for social interaction and amphetamine using conditioned place preference in rats: Effects of age and housing condition. Drug and Alcohol Dependence. 129(3). 240–246. 65 indexed citations
20.
Gipson, Cassandra D., Joshua S. Beckmann, Julie A. Marusich, et al.. (2011). A translational behavioral model of mood-based impulsivity: Implications for substance abuse. Drug and Alcohol Dependence. 122(1-2). 93–99. 26 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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