Brandon J. Cosley

420 total citations
7 papers, 292 citations indexed

About

Brandon J. Cosley is a scholar working on Behavioral Neuroscience, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Brandon J. Cosley has authored 7 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Behavioral Neuroscience, 3 papers in Social Psychology and 2 papers in Cognitive Neuroscience. Recurrent topics in Brandon J. Cosley's work include Stress Responses and Cortisol (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Neural and Behavioral Psychology Studies (2 papers). Brandon J. Cosley is often cited by papers focused on Stress Responses and Cortisol (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Neural and Behavioral Psychology Studies (2 papers). Brandon J. Cosley collaborates with scholars based in United States and United Kingdom. Brandon J. Cosley's co-authors include Shannon K. McCoy, Laura R. Saslow, Elissa Epel, Joseph D. Wellman, Shawn W. Ell, Susan K. Gardner, Judith T. Moskowitz, Ilmo van der Löwe, Dacher Keltner and Elissa S. Epel and has published in prestigious journals such as PLoS ONE, Psychophysiology and Journal of Experimental Social Psychology.

In The Last Decade

Brandon J. Cosley

7 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brandon J. Cosley United States 6 111 108 83 45 32 7 292
Sean Fath United States 6 130 1.2× 130 1.2× 64 0.8× 75 1.7× 54 1.7× 14 335
Alice E. Veksler United States 9 93 0.8× 145 1.3× 100 1.2× 57 1.3× 34 1.1× 18 257
Lindsey A. Beck United States 11 122 1.1× 233 2.2× 82 1.0× 86 1.9× 18 0.6× 18 339
Jessica Wells United States 10 136 1.2× 100 0.9× 171 2.1× 50 1.1× 68 2.1× 25 376
Usue de la Barrera Spain 12 217 2.0× 180 1.7× 110 1.3× 72 1.6× 37 1.2× 29 447
Adrien Mierop Belgium 9 71 0.6× 167 1.5× 108 1.3× 81 1.8× 19 0.6× 17 329
Cathleen Kappes Germany 10 59 0.5× 124 1.1× 96 1.2× 59 1.3× 26 0.8× 21 307
Michelle R. Persich United States 11 87 0.8× 135 1.3× 38 0.5× 78 1.7× 15 0.5× 30 253
Alesia Hanzal United States 9 147 1.3× 170 1.6× 121 1.5× 45 1.0× 22 0.7× 11 322
Julie Collange France 10 70 0.6× 137 1.3× 99 1.2× 33 0.7× 93 2.9× 40 315

Countries citing papers authored by Brandon J. Cosley

Since Specialization
Citations

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

Fields of papers citing papers by Brandon J. Cosley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brandon J. Cosley. 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 Brandon J. Cosley. The network helps show where Brandon J. Cosley may publish in the future.

Co-authorship network of co-authors of Brandon J. Cosley

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

All Works

7 of 7 papers shown
1.
Carlucci, James G., et al.. (2017). Low hepatitis C antibody screening rates among an insured population of Tennessean Baby Boomers. PLoS ONE. 12(11). e0188624–e0188624. 3 indexed citations
2.
Cosley, Brandon J., Shannon K. McCoy, & Susan K. Gardner. (2014). Collaborative voice: Examining the role of voice in interdisciplinary collaboration. International Journal of Organization Theory and Behavior. 17(2). 139–162. 11 indexed citations
3.
McCoy, Shannon K., et al.. (2013). Is pressure stressful? The impact of pressure on the stress response and category learning. Cognitive Affective & Behavioral Neuroscience. 14(2). 769–781. 12 indexed citations
4.
Saslow, Laura R., Shannon K. McCoy, Ilmo van der Löwe, et al.. (2013). Speaking under pressure: Low linguistic complexity is linked to high physiological and emotional stress reactivity. Psychophysiology. 51(3). 257–266. 23 indexed citations
5.
McCoy, Shannon K., Joseph D. Wellman, Brandon J. Cosley, Laura R. Saslow, & Elissa Epel. (2013). Is the belief in meritocracy palliative for members of low status groups? Evidence for a benefit for self‐esteem and physical health via perceived control. European Journal of Social Psychology. 43(4). 307–318. 77 indexed citations
6.
Ell, Shawn W., Brandon J. Cosley, & Shannon K. McCoy. (2010). When bad stress goes good: increased threat reactivity predicts improved category learning performance. Psychonomic Bulletin & Review. 18(1). 96–102. 18 indexed citations
7.
Cosley, Brandon J., Shannon K. McCoy, Laura R. Saslow, & Elissa Epel. (2010). Is compassion for others stress buffering? Consequences of compassion and social support for physiological reactivity to stress. Journal of Experimental Social Psychology. 46(5). 816–823. 148 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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