Justin Dainer‐Best

864 total citations
17 papers, 556 citations indexed

About

Justin Dainer‐Best is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Justin Dainer‐Best has authored 17 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Experimental and Cognitive Psychology, 10 papers in Cognitive Neuroscience and 5 papers in Clinical Psychology. Recurrent topics in Justin Dainer‐Best's work include Mental Health Research Topics (13 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers) and Neural and Behavioral Psychology Studies (5 papers). Justin Dainer‐Best is often cited by papers focused on Mental Health Research Topics (13 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers) and Neural and Behavioral Psychology Studies (5 papers). Justin Dainer‐Best collaborates with scholars based in United States, Australia and Netherlands. Justin Dainer‐Best's co-authors include Christopher G. Beevers, Jason Shumake, Amishi P. Jha, Alexandra B. Morrison, Suzanne C. Parker, Elizabeth A. Stanley, Gili Freedman, Rebecca J. Compton, John E. McGeary and John J. B. Allen and has published in prestigious journals such as PLoS ONE, Journal of Abnormal Psychology and Behaviour Research and Therapy.

In The Last Decade

Justin Dainer‐Best

17 papers receiving 551 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 Dainer‐Best United States 10 320 261 243 87 43 17 556
Brittany C. Speed United States 10 217 0.7× 171 0.7× 200 0.8× 57 0.7× 33 0.8× 15 442
Verena Ly Netherlands 10 162 0.5× 202 0.8× 153 0.6× 127 1.5× 47 1.1× 15 451
Betty Liao United States 10 320 1.0× 323 1.2× 210 0.9× 152 1.7× 89 2.1× 14 661
Ivan Grahek United States 9 269 0.8× 131 0.5× 233 1.0× 51 0.6× 32 0.7× 15 523
Najwa C. Culver United States 8 264 0.8× 159 0.6× 199 0.8× 73 0.8× 87 2.0× 14 430
Suzanne C. van Veen Netherlands 9 201 0.6× 263 1.0× 166 0.7× 62 0.7× 40 0.9× 16 487
Catherine Insel United States 13 284 0.9× 298 1.1× 351 1.4× 107 1.2× 54 1.3× 17 749
Jarosław M. Michałowski Poland 14 285 0.9× 126 0.5× 307 1.3× 98 1.1× 39 0.9× 38 589
Taban Salem United States 8 336 1.1× 190 0.7× 154 0.6× 75 0.9× 42 1.0× 12 464
Brianna S. Schuyler United States 9 257 0.8× 389 1.5× 203 0.8× 140 1.6× 38 0.9× 10 638

Countries citing papers authored by Justin Dainer‐Best

Since Specialization
Citations

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

Fields of papers citing papers by Justin Dainer‐Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Dainer‐Best. 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 Dainer‐Best. The network helps show where Justin Dainer‐Best may publish in the future.

Co-authorship network of co-authors of Justin Dainer‐Best

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

All Works

17 of 17 papers shown
1.
Dainer‐Best, Justin, et al.. (2024). Negative self-referent cognition predicts future depression symptom change: an intensive sampling approach. Cognition & Emotion. 39(4). 829–843. 3 indexed citations
2.
Dainer‐Best, Justin & Mikael Rubin. (2024). Guided feedback in an online text-based game impacts activity choices. Journal of Affective Disorders Reports. 16. 100738–100738. 3 indexed citations
3.
Dainer‐Best, Justin. (2023). Trends in Research on Self-Reference, Depression, and the Self-Referent Encoding Task: A Critical Review. PsyArXiv (OSF Preprints). 1 indexed citations
4.
Freedman, Gili & Justin Dainer‐Best. (2022). Who is more willing to engage in social rejection? The roles of self-esteem, rejection sensitivity, and negative affect in social rejection decisions. The Journal of Social Psychology. 164(4). 511–530. 2 indexed citations
5.
Rubin, Mikael, et al.. (2021). Exploratory and Confirmatory Bayesian Networks Identify the Central Role of Non-judging in Symptoms of Depression. Mindfulness. 12(10). 2544–2551. 7 indexed citations
6.
Rubin, Mikael, Michael J. Telch, & Justin Dainer‐Best. (2021). In Game as in Life? Linking Decision-making to Real-world Behavior. Collabra Psychology. 7(1). 1 indexed citations
7.
Beevers, Christopher G., Michael C Mullarkey, Justin Dainer‐Best, et al.. (2019). Association between negative cognitive bias and depression: A symptom-level approach.. Journal of Abnormal Psychology. 128(3). 212–227. 88 indexed citations
8.
Dainer‐Best, Justin, Seth G. Disner, John E. McGeary, Bethany Hamilton, & Christopher G. Beevers. (2018). Negative self-referential processing is associated with genetic variation in the serotonin transporter-linked polymorphic region (5-HTTLPR): Evidence from two independent studies. PLoS ONE. 13(6). e0198950–e0198950. 11 indexed citations
9.
Dainer‐Best, Justin, Hae Yeon Lee, Jason Shumake, David S. Yeager, & Christopher G. Beevers. (2018). Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression.. Psychological Assessment. 30(11). 1527–1540. 43 indexed citations
10.
Vrijsen, Janna N., Justin Dainer‐Best, Sara M. Witcraft, et al.. (2018). Effect of cognitive bias modification-memory on depressive symptoms and autobiographical memory bias: two independent studies in high-ruminating and dysphoric samples. Cognition & Emotion. 33(2). 288–304. 20 indexed citations
11.
Dainer‐Best, Justin, Jason Shumake, & Christopher G. Beevers. (2018). Positive imagery training increases positive self-referent cognition in depression. Behaviour Research and Therapy. 111. 72–83. 24 indexed citations
12.
Dainer‐Best, Justin, Logan Trujillo, David M. Schnyer, & Christopher G. Beevers. (2017). Sustained engagement of attention is associated with increased negative self-referent processing in major depressive disorder. Biological Psychology. 129. 231–241. 39 indexed citations
13.
Marchetti, Igor, Jonas Everaert, Justin Dainer‐Best, et al.. (2017). Specificity and overlap of attention and memory biases in depression. Journal of Affective Disorders. 225. 404–412. 64 indexed citations
14.
Jha, Amishi P., et al.. (2015). Minds “At Attention”: Mindfulness Training Curbs Attentional Lapses in Military Cohorts. PLoS ONE. 10(2). e0116889–e0116889. 143 indexed citations
15.
Compton, Rebecca J., et al.. (2011). Neural and behavioral measures of error-related cognitive control predict daily coping with stress.. Emotion. 11(2). 379–390. 42 indexed citations
16.
Compton, Rebecca J., et al.. (2010). Cognitive control in the intertrial interval: Evidence from EEG alpha power. Psychophysiology. 48(5). 583–590. 63 indexed citations
17.
Compton, Rebecca J., et al.. (2009). Anxiety and expectancy violations: Neural response to false feedback is exaggerated in worriers. Cognition & Emotion. 24(3). 465–479. 2 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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Breakdown of academic impact, for papers by Brittany C. Speed Breakdown of academic impact, for papers by Verena Ly Breakdown of academic impact, for papers by Betty Liao Breakdown of academic impact, for papers by Ivan Grahek Breakdown of academic impact, for papers by Najwa C. Culver Breakdown of academic impact, for papers by Suzanne C. van Veen Breakdown of academic impact, for papers by Catherine Insel Breakdown of academic impact, for papers by Jarosław M. Michałowski Breakdown of academic impact, for papers by Taban Salem Breakdown of academic impact, for papers by Brianna S. Schuyler
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2026