Kyle Nash

3.3k total citations
47 papers, 1.5k citations indexed

About

Kyle Nash is a scholar working on Cognitive Neuroscience, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Kyle Nash has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 18 papers in Sociology and Political Science and 16 papers in Social Psychology. Recurrent topics in Kyle Nash's work include Neural and Behavioral Psychology Studies (15 papers), Psychology of Moral and Emotional Judgment (11 papers) and Social and Intergroup Psychology (9 papers). Kyle Nash is often cited by papers focused on Neural and Behavioral Psychology Studies (15 papers), Psychology of Moral and Emotional Judgment (11 papers) and Social and Intergroup Psychology (9 papers). Kyle Nash collaborates with scholars based in Canada, Switzerland and Germany. Kyle Nash's co-authors include Ian McGregor, Michael Inzlicht, Mike Prentice, Aaron C. Kay, Danielle Gaucher, Jacob B. Hirsh, Lorena R. R. Gianotti, Daria Knoch, Curtis E. Phills and Tobias Kleinert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and PLoS ONE.

In The Last Decade

Kyle Nash

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Nash Canada 19 660 636 531 253 249 47 1.5k
Jinkyung Na South Korea 19 336 0.5× 821 1.3× 555 1.0× 92 0.4× 265 1.1× 41 1.4k
Andrew E. Reed United States 12 512 0.8× 471 0.7× 208 0.4× 219 0.9× 336 1.3× 14 1.6k
Evan C. Carter United States 16 326 0.5× 460 0.7× 358 0.7× 148 0.6× 467 1.9× 24 1.6k
Miguel Farias United Kingdom 22 627 0.9× 687 1.1× 595 1.1× 354 1.4× 232 0.9× 62 1.9k
Matthew A. Killingsworth United States 8 1.2k 1.8× 500 0.8× 235 0.4× 92 0.4× 844 3.4× 9 2.1k
Hal Ersner-Hershfield United States 11 367 0.6× 771 1.2× 241 0.5× 229 0.9× 618 2.5× 12 1.9k
Antonio Andrés Pueyo Spain 22 267 0.4× 197 0.3× 352 0.7× 224 0.9× 215 0.9× 94 1.3k
Wesley G. Moons United States 18 248 0.4× 472 0.7× 352 0.7× 49 0.2× 320 1.3× 23 1.3k
Sarah L. Master United States 10 665 1.0× 598 0.9× 326 0.6× 41 0.2× 409 1.6× 14 1.5k
Lauren Brewer United States 7 348 0.5× 465 0.7× 308 0.6× 51 0.2× 299 1.2× 8 1.3k

Countries citing papers authored by Kyle Nash

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Nash

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Nash. A scholar is included among the top collaborators of Kyle Nash 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 Nash. Kyle Nash 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.
Nash, Kyle, et al.. (2025). Influenced by others: Trusting behaviour and social influence. Journal of Behavioral and Experimental Economics. 116. 102370–102370. 1 indexed citations
2.
Leota, Josh, et al.. (2024). Neural rhythms of narcissism: Facets of narcissism are associated with different neural sources in resting‐state EEG. European Journal of Neuroscience. 60(5). 4907–4921. 2 indexed citations
3.
Nash, Kyle, et al.. (2024). Applying process dissociation to self-sacrificial moral dilemmas: Extending the dual-process model. Cognition. 250. 105873–105873. 1 indexed citations
4.
Schiller, Bastian, Matthias F. J. Sperl, Tobias Kleinert, Kyle Nash, & Lorena R. R. Gianotti. (2023). EEG Microstates in Social and Affective Neuroscience. Brain Topography. 37(4). 479–495. 26 indexed citations
5.
Kleinert, Tobias, Thomas Koenig, Kyle Nash, & Edmund Wascher. (2023). On the Reliability of the EEG Microstate Approach. Brain Topography. 37(2). 271–286. 39 indexed citations
6.
Kleinert, Tobias, Kyle Nash, Josh Leota, et al.. (2022). A Self-Controlled Mind Is Reflected by Stable Mental Processing. Psychological Science. 33(12). 2123–2137. 14 indexed citations
7.
Leota, Josh, Mark É. Czeisler, Kyle Nash, et al.. (2022). Home is where the hustle is: the influence of crowds on effort and home advantage in the National Basketball Association. Journal of Sports Sciences. 40(20). 2343–2352. 17 indexed citations
8.
Kleinert, Tobias & Kyle Nash. (2022). Trait Aggression is Reflected by a Lower Temporal Stability of EEG Resting Networks. Brain Topography. 37(4). 514–523. 6 indexed citations
9.
Leota, Josh, Tobias Kleinert, Alex Tran, & Kyle Nash. (2021). Neural signatures of heterogeneity in risk‐taking and strategic consistency. European Journal of Neuroscience. 54(9). 7214–7230. 11 indexed citations
10.
Nash, Kyle, Josh Leota, & Alex Tran. (2021). Neural processes in antecedent anxiety modulate risk-taking behavior. Scientific Reports. 11(1). 2637–2637. 17 indexed citations
11.
Nash, Kyle & Josh Leota. (2021). Political Orientation as Psychological Defense or Basic Disposition? A Social Neuroscience Examination. Cognitive Affective & Behavioral Neuroscience. 22(3). 586–599. 6 indexed citations
12.
Sainudiin, Raazesh, et al.. (2019). Characterizing the Twitter network of prominent politicians and SPLC-defined hate groups in the 2016 US presidential election. Social Network Analysis and Mining. 9(1). 12 indexed citations
13.
Gianotti, Lorena R. R., et al.. (2018). Neural signatures of different behavioral types in fairness norm compliance. Scientific Reports. 8(1). 10513–10513. 22 indexed citations
14.
Nash, Kyle, Bastian Schiller, Lorena R. R. Gianotti, Thomas Baumgärtner, & Daria Knoch. (2013). Electrophysiological Indices of Response Inhibition in a Go/NoGo Task Predict Self-Control in a Social Context. PLoS ONE. 8(11). e79462–e79462. 25 indexed citations
15.
Schiller, Bastian, Lorena R. R. Gianotti, Kyle Nash, & Daria Knoch. (2013). Individual Differences in Inhibitory Control—Relationship Between Baseline Activation in Lateral PFC and an Electrophysiological Index of Response Inhibition. Cerebral Cortex. 24(9). 2430–2435. 40 indexed citations
16.
McGregor, Ian, Mike Prentice, & Kyle Nash. (2012). Approaching Relief: Compensatory Ideals Relieve Threat-Induced Anxiety by Promoting Approach-Motivated States. Social Cognition. 30(6). 689–714. 26 indexed citations
17.
Nash, Kyle, Ian McGregor, & Mike Prentice. (2011). Threat and defense as goal regulation: From implicit goal conflict to anxious uncertainty, reactive approach motivation, and ideological extremism.. Journal of Personality and Social Psychology. 101(6). 1291–1301. 68 indexed citations
18.
McGregor, Ian, Kyle Nash, & Mike Prentice. (2010). Reactive approach motivation (RAM) for religion.. Journal of Personality and Social Psychology. 99(1). 148–161. 66 indexed citations
19.
McGregor, Ian, et al.. (2010). Anxious uncertainty and reactive approach motivation (RAM).. Journal of Personality and Social Psychology. 99(1). 133–147. 155 indexed citations
20.
McGregor, Ian, Reeshma Haji, Kyle Nash, & Rimma Teper. (2008). Religious Zeal and the Uncertain Self. Basic and Applied Social Psychology. 30(2). 183–188. 66 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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