Kayla D. Skinner

444 total citations
17 papers, 314 citations indexed

About

Kayla D. Skinner is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Clinical Psychology. According to data from OpenAlex, Kayla D. Skinner has authored 17 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Experimental and Cognitive Psychology, 11 papers in Applied Psychology and 6 papers in Clinical Psychology. Recurrent topics in Kayla D. Skinner's work include Behavioral Health and Interventions (11 papers), Mental Health Research Topics (9 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers). Kayla D. Skinner is often cited by papers focused on Behavioral Health and Interventions (11 papers), Mental Health Research Topics (9 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers). Kayla D. Skinner collaborates with scholars based in United States and Argentina. Kayla D. Skinner's co-authors include Jennifer C. Veilleux, Elizabeth D. Reese, Danielle Baker, Garrett A. Pollert, Sasha M. Rojas, Melissa J. Zielinski, Matthew T. Feldner, Demián Rodante, Leandro Nicolás Grendas and Federico M. Daray and has published in prestigious journals such as Clinical Psychology Review, Personality and Individual Differences and Psychological Assessment.

In The Last Decade

Kayla D. Skinner

17 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kayla D. Skinner United States 11 188 119 90 68 47 17 314
Nicholas J. Kuvaas United States 10 202 1.1× 82 0.7× 70 0.8× 75 1.1× 114 2.4× 10 358
Marsha N. Sargeant United States 7 205 1.1× 106 0.9× 54 0.6× 66 1.0× 64 1.4× 7 314
Sarah A. Griffin United States 12 262 1.4× 103 0.9× 50 0.6× 52 0.8× 37 0.8× 24 341
Natalia Van Doren United States 8 100 0.5× 99 0.8× 53 0.6× 49 0.7× 96 2.0× 31 294
Renee M. Cloutier United States 11 154 0.8× 78 0.7× 44 0.5× 46 0.7× 105 2.2× 46 320
Leila Guller United States 7 170 0.9× 78 0.7× 30 0.3× 61 0.9× 77 1.6× 11 273
Regan E. Settles United States 5 314 1.7× 132 1.1× 68 0.8× 115 1.7× 89 1.9× 7 444
Matthew C. Enkema United States 11 321 1.7× 221 1.9× 72 0.8× 84 1.2× 79 1.7× 13 459
Caitlyn O. Hood United States 11 162 0.9× 71 0.6× 60 0.7× 27 0.4× 20 0.4× 31 282
Julie M. Petersen United States 12 315 1.7× 113 0.9× 51 0.6× 63 0.9× 15 0.3× 45 395

Countries citing papers authored by Kayla D. Skinner

Since Specialization
Citations

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

Fields of papers citing papers by Kayla D. Skinner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kayla D. Skinner. 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 Kayla D. Skinner. The network helps show where Kayla D. Skinner may publish in the future.

Co-authorship network of co-authors of Kayla D. Skinner

This figure shows the co-authorship network connecting the top 25 collaborators of Kayla D. Skinner. A scholar is included among the top collaborators of Kayla D. Skinner 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 Kayla D. Skinner. Kayla D. Skinner 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.
Zielinski, Melissa J., et al.. (2022). Perceived emotion invalidation predicts daily affect and stressors. Anxiety Stress & Coping. 36(2). 214–228. 11 indexed citations
2.
Veilleux, Jennifer C., et al.. (2020). Perceived willpower self-efficacy fluctuates dynamically with affect and distress intolerance. Journal of Research in Personality. 90. 104058–104058. 10 indexed citations
3.
Veilleux, Jennifer C., et al.. (2020). Individual beliefs about emotion and perceptions of belief stability are associated with symptoms of psychopathology and emotional processes. Personality and Individual Differences. 171. 110541–110541. 21 indexed citations
4.
Veilleux, Jennifer C. & Kayla D. Skinner. (2019). Differences in Distress Intolerance Among Daily and Intermittent Smokers. Nicotine & Tobacco Research. 22(10). 1867–1874. 5 indexed citations
5.
Veilleux, Jennifer C., et al.. (2019). Affect balance predicts daily emotional experience. Personality and Individual Differences. 154. 109683–109683. 27 indexed citations
6.
Skinner, Kayla D.. (2019). Dynamics of Momentary Perceived Self-Regulation Abilities as Novel Predictors of Overeating in Daily Life. Journal of the Arkansas Academy of Science. 1 indexed citations
7.
Veilleux, Jennifer C., et al.. (2018). The dynamics of persisting through distress: Development of a Momentary Distress Intolerance Scale using ecological momentary assessment.. Psychological Assessment. 30(11). 1468–1478. 37 indexed citations
8.
Veilleux, Jennifer C., Kayla D. Skinner, & Garrett A. Pollert. (2018). Examining the effect of cue exposure and introspective responses to cues on impulsivity in restrained and unrestrained eaters. Eating Behaviors. 31. 99–104. 1 indexed citations
9.
Rojas, Sasha M., Kayla D. Skinner, Matthew T. Feldner, et al.. (2018). Lethality of Previous Suicidal Behavior among Patients Hospitalized for Suicide Risk Predicts Lethality of Future Suicide Attempts. Suicide and Life-Threatening Behavior. 49(5). 1431–1438. 19 indexed citations
10.
Veilleux, Jennifer C., et al.. (2018). Self-control failure scenarios in daily life: Developing a taxonomy of goals and temptations. Motivation and Emotion. 42(5). 653–670. 11 indexed citations
11.
Veilleux, Jennifer C., et al.. (2017). Non-Alcoholic Beverage Cues as Specific Comparison Images to Alcohol Image Cues. Substance Use & Misuse. 53(5). 773–781. 4 indexed citations
12.
Skinner, Kayla D. & Jennifer C. Veilleux. (2016). The Interactive Effects of Drinking Motives, Age, and Self-Criticism in Predicting Hazardous Drinking. Substance Use & Misuse. 51(10). 1342–1352. 12 indexed citations
13.
Skinner, Kayla D., Sasha M. Rojas, & Jennifer C. Veilleux. (2016). Connecting Eating Pathology with Risk for Engaging in Suicidal Behavior: The Mediating Role of Experiential Avoidance. Suicide and Life-Threatening Behavior. 47(1). 3–13. 13 indexed citations
14.
Veilleux, Jennifer C., Kayla D. Skinner, & Garrett A. Pollert. (2016). Quit interest influences smoking cue-reactivity. Addictive Behaviors. 63. 137–140. 4 indexed citations
15.
Veilleux, Jennifer C. & Kayla D. Skinner. (2016). Introspective responses to cues and motivation to reduce cigarette smoking influence state and behavioral responses to cue exposure. Addictive Behaviors. 60. 103–108. 6 indexed citations
16.
Veilleux, Jennifer C. & Kayla D. Skinner. (2015). Smoking, food, and alcohol cues on subsequent behavior: A qualitative systematic review. Clinical Psychology Review. 36. 13–27. 27 indexed citations
17.
Veilleux, Jennifer C., et al.. (2013). Negative affect intensity influences drinking to cope through facets of emotion dysregulation. Personality and Individual Differences. 59. 96–101. 105 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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