Kyle S. Smith

5.3k total citations
40 papers, 3.4k citations indexed

About

Kyle S. Smith is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Kyle S. Smith has authored 40 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 19 papers in Cognitive Neuroscience and 11 papers in Social Psychology. Recurrent topics in Kyle S. Smith's work include Neurotransmitter Receptor Influence on Behavior (20 papers), Neural dynamics and brain function (13 papers) and Neuroendocrine regulation and behavior (10 papers). Kyle S. Smith is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (20 papers), Neural dynamics and brain function (13 papers) and Neuroendocrine regulation and behavior (10 papers). Kyle S. Smith collaborates with scholars based in United States, Canada and Germany. Kyle S. Smith's co-authors include Kent Berridge, J. Wayne Aldridge, Ann M. Graybiel, Amy J. Tindell, Susana Peciña, Stephen V. Mahler, David J. Bucci, Bryan W. Luikart, Stephen E. Chang and Karl Deisseroth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Kyle S. Smith

36 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle S. Smith United States	22	1.7k	1.6k	549	507	498	40	3.4k
J. Wayne Aldridge United States	28	2.2k 1.2×	2.1k 1.3×	657 1.2×	478 0.9×	742 1.5×	46	4.9k
Stephen V. Mahler United States	30	1.5k 0.9×	1.3k 0.8×	612 1.1×	697 1.4×	457 0.9×	52	3.0k
Susana Peciña United States	17	1.4k 0.8×	915 0.6×	456 0.8×	656 1.3×	409 0.8×	22	2.6k
Laura H. Corbit Australia	29	2.7k 1.6×	2.4k 1.5×	855 1.6×	336 0.7×	630 1.3×	62	4.1k
Peter Shizgal Canada	31	2.0k 1.2×	2.3k 1.4×	418 0.8×	721 1.4×	490 1.0×	101	4.1k
Jocelyn M. Richard United States	21	1.3k 0.8×	918 0.6×	652 1.2×	376 0.7×	244 0.5×	31	2.4k
Sean B. Ostlund United States	30	2.7k 1.6×	2.4k 1.5×	1.0k 1.9×	265 0.5×	664 1.3×	55	4.1k
Shelly B. Flagel United States	30	2.7k 1.6×	1.9k 1.2×	1.2k 2.1×	298 0.6×	979 2.0×	65	4.2k
Roelof Eikelboom Canada	24	1.8k 1.0×	948 0.6×	625 1.1×	323 0.6×	355 0.7×	45	3.4k
Peter D. Balsam United States	37	1.9k 1.1×	2.8k 1.7×	715 1.3×	296 0.6×	680 1.4×	131	4.8k

Countries citing papers authored by Kyle S. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Kyle S. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle S. Smith

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

All Works

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20 of 20 papers shown

Smith, Kyle S., et al.. (2025). Behavioral microanalyses refine sign-tracking characterization and uncover different response dynamics during omission and extinction learning. Learning & Memory. 32(3). a054065–a054065.

Smith, Kyle S., et al.. (2024). A role for the dorsolateral striatum in prospective action control. iScience. 27(6). 110044–110044.

Balsam, Steven, Curtis M. Hall, Erica Harris, & Kyle S. Smith. (2023). Taxing the Way to Lower Pay: The Impact of Section 4960 Excise Tax on Nonprofit Compensation. SSRN Electronic Journal.

Smith, Kyle S., et al.. (2021). Spatially restricted inhibition of cholinergic interneurons in the dorsolateral striatum encourages behavioral exploration. European Journal of Neuroscience. 53(8). 2567–2579. 9 indexed citations

Carmichael, James E., et al.. (2020). Complementary Control over Habits and Behavioral Vigor by Phasic Activity in the Dorsolateral Striatum. Journal of Neuroscience. 40(10). 2139–2153. 17 indexed citations

Smith, Kyle S., et al.. (2020). Sign-tracking behavior is sensitive to outcome devaluation in a devaluation context-dependent manner: implications for analyzing habitual behavior. Learning & Memory. 27(4). 136–149. 23 indexed citations

Smith, Kyle S., et al.. (2019). Circuit directionality for motivation: Lateral accumbens-pallidum, but not pallidum-accumbens, connections regulate motivational attraction to reward cues. Neurobiology of Learning and Memory. 162. 23–35. 11 indexed citations

Chang, Stephen E., et al.. (2017). Optogenetic Inhibition of Ventral Pallidum Neurons Impairs Context-Driven Salt Seeking. Journal of Neuroscience. 37(23). 5670–5680. 21 indexed citations

Chang, Stephen E. & Kyle S. Smith. (2016). An omission procedure reorganizes the microstructure of sign-tracking while preserving incentive salience. Learning & Memory. 23(4). 151–155. 26 indexed citations

10.

Smith, Kyle S., David J. Bucci, Bryan W. Luikart, & Stephen V. Mahler. (2016). DREADDS: Use and application in behavioral neuroscience.. Behavioral Neuroscience. 130(2). 137–155. 172 indexed citations

11.

Graybiel, Ann M. & Kyle S. Smith. (2014). Good Habits, Bad Habits. Scientific American. 310(6). 38–43. 25 indexed citations

12.

Smith, Kyle S. & Ann M. Graybiel. (2013). Using optogenetics to study habits. Brain Research. 1511. 102–114. 13 indexed citations

13.

Smith, Kyle S. & Ann M. Graybiel. (2013). A Dual Operator View of Habitual Behavior Reflecting Cortical and Striatal Dynamics. Neuron. 79(2). 361–374. 211 indexed citations

14.

Smith, Kyle S. & Ann M. Graybiel. (2013). A Dual Operator View of Habitual Behavior Reflecting Cortical and Striatal Dynamics. Neuron. 79(3). 608–608. 16 indexed citations

15.

Smith, Kyle S., et al.. (2012). Reversible online control of habitual behavior by optogenetic perturbation of medial prefrontal cortex. Proceedings of the National Academy of Sciences. 109(46). 18932–18937. 128 indexed citations

16.

Tindell, Amy J., Kyle S. Smith, Kent Berridge, & J. Wayne Aldridge. (2009). Dynamic Computation of Incentive Salience: “Wanting” What Was Never “Liked”. Journal of Neuroscience. 29(39). 12220–12228. 87 indexed citations

17.

Zhang, Jun, Kent Berridge, Amy J. Tindell, Kyle S. Smith, & J. Wayne Aldridge. (2009). A Neural Computational Model of Incentive Salience. PLoS Computational Biology. 5(7). e1000437–e1000437. 155 indexed citations

18.

Smith, Kyle S. & Kent Berridge. (2007). Opioid Limbic Circuit for Reward: Interaction between Hedonic Hotspots of Nucleus Accumbens and Ventral Pallidum. Journal of Neuroscience. 27(7). 1594–1605. 304 indexed citations

19.

Tindell, Amy J., Kyle S. Smith, Susana Peciña, Kent Berridge, & J. Wayne Aldridge. (2006). Ventral Pallidum Firing Codes Hedonic Reward: When a Bad Taste Turns Good. Journal of Neurophysiology. 96(5). 2399–2409. 169 indexed citations

20.

Smith, Kyle S. & Kent Berridge. (2005). The Ventral Pallidum and Hedonic Reward: Neurochemical Maps of Sucrose “Liking” and Food Intake. Journal of Neuroscience. 25(38). 8637–8649. 257 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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