K. Lira Yoon

2.2k total citations
52 papers, 1.5k citations indexed

About

K. Lira Yoon is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, K. Lira Yoon has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Experimental and Cognitive Psychology, 25 papers in Clinical Psychology and 17 papers in Cognitive Neuroscience. Recurrent topics in K. Lira Yoon's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (37 papers), Child and Adolescent Psychosocial and Emotional Development (20 papers) and Mental Health Research Topics (16 papers). K. Lira Yoon is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (37 papers), Child and Adolescent Psychosocial and Emotional Development (20 papers) and Mental Health Research Topics (16 papers). K. Lira Yoon collaborates with scholars based in United States, Canada and South Korea. K. Lira Yoon's co-authors include Jutta Joormann, Richard E. Zinbarg, Ulrike Zetsche, Joelle LeMoult, Ian H. Gotlib, John Maltby, Sang Wook Hong, Phillip J. Quartana, Elizabeth Lewis and K. Luan Phan and has published in prestigious journals such as Journal of Abnormal Psychology, Behaviour Research and Therapy and Personality and Individual Differences.

In The Last Decade

K. Lira Yoon

50 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
K. Lira Yoon United States 19 964 615 606 322 155 52 1.5k
Tony T. Wells United States 24 1.0k 1.0× 854 1.4× 663 1.1× 289 0.9× 187 1.2× 49 1.9k
Álvaro Sánchez-López Spain 22 941 1.0× 550 0.9× 552 0.9× 249 0.8× 100 0.6× 78 1.5k
Katie L. Burkhouse United States 20 651 0.7× 592 1.0× 458 0.8× 165 0.5× 102 0.7× 63 1.2k
Evi De Lissnyder Belgium 11 1.2k 1.2× 648 1.1× 641 1.1× 112 0.3× 141 0.9× 12 1.6k
Alissa J. Ellis United States 18 689 0.7× 504 0.8× 394 0.7× 152 0.5× 129 0.8× 26 1.2k
Patrick Clarke Australia 22 1.2k 1.3× 756 1.2× 803 1.3× 166 0.5× 119 0.8× 81 1.8k
Jessica Bomyea United States 22 1.2k 1.3× 1.2k 2.0× 646 1.1× 227 0.7× 206 1.3× 65 2.1k
Bethany H. Morris United States 8 817 0.8× 453 0.7× 300 0.5× 199 0.6× 108 0.7× 8 1.1k
Abby Adler United States 13 660 0.7× 708 1.2× 508 0.8× 240 0.7× 100 0.6× 18 1.3k
Anson J. Whitmer United States 12 942 1.0× 479 0.8× 652 1.1× 124 0.4× 99 0.6× 13 1.4k

Countries citing papers authored by K. Lira Yoon

Since Specialization
Citations

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

Fields of papers citing papers by K. Lira Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Lira Yoon. 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 K. Lira Yoon. The network helps show where K. Lira Yoon may publish in the future.

Co-authorship network of co-authors of K. Lira Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of K. Lira Yoon. A scholar is included among the top collaborators of K. Lira Yoon 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 K. Lira Yoon. K. Lira Yoon 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.
Yoon, K. Lira, et al.. (2024). Post-event processing in social anxiety: A scoping review. Journal of Anxiety Disorders. 109. 102947–102947. 3 indexed citations
2.
Doran, Kelly, et al.. (2023). Gauging the stress of long‐term care nursing assistants using ecological momentary assessment, wearable sensors and end of day reconstruction. International Journal of Older People Nursing. 19(1). e12592–e12592.
3.
Rao, Uma, et al.. (2023). Diversity in emotion regulation strategy use: Resilience against posttraumatic stress disorder. Behaviour Research and Therapy. 172. 104441–104441. 2 indexed citations
4.
Watson, David, et al.. (2023). Biased cognitive control of emotional information in remitted depression: A meta-analytic review.. Journal of Psychopathology and Clinical Science. 132(8). 921–936. 4 indexed citations
5.
Yoon, K. Lira, et al.. (2020). Emotional response to autobiographical memories in depression: less happiness to positive and more sadness to negative memories. Cognitive Behaviour Therapy. 49(6). 475–485. 6 indexed citations
6.
Yoon, K. Lira & Sang Wook Hong. (2020). Behavioral inhibition system sensitivity moderates audio-visual neutral information processing. Journal of Behavior Therapy and Experimental Psychiatry. 69. 101597–101597. 4 indexed citations
8.
Haigh, Emily A. P., Julia R. Craner, Sandra T. Sigmon, K. Lira Yoon, & Geoffrey L. Thorpe. (2018). Symptom Attributions Across the Menstrual Cycle in Women with Panic Disorder. Journal of Rational-Emotive & Cognitive-Behavior Therapy. 36(4). 320–332. 5 indexed citations
9.
Kutz, Amanda M., et al.. (2017). Individual differences in the motivational direction of anger. Personality and Individual Differences. 119. 56–59. 1 indexed citations
10.
Hong, Sang Wook & K. Lira Yoon. (2017). Intensity dependence in high-level facial expression adaptation aftereffect. Psychonomic Bulletin & Review. 25(3). 1035–1042. 6 indexed citations
11.
Yoon, K. Lira, et al.. (2015). Social anxiety and narrowed attentional breadth toward faces.. Emotion. 15(6). 682–686. 10 indexed citations
12.
Yoon, K. Lira, Joelle LeMoult, & Jutta Joormann. (2014). Updating emotional content in working memory: A depression-specific deficit?. Journal of Behavior Therapy and Experimental Psychiatry. 45(3). 368–374. 48 indexed citations
13.
Yoon, K. Lira, et al.. (2013). Cultural and gender differences in emotion regulation: Relation to depression. Cognition & Emotion. 27(5). 769–782. 140 indexed citations
14.
Yoon, K. Lira & Phillip J. Quartana. (2012). Post-Evaluative Biases Toward Somatic Stimuli and Cardiovascular Responses in Social Anxiety. Journal of Psychopathology and Behavioral Assessment. 34(4). 451–457. 6 indexed citations
15.
Yoon, K. Lira, Jutta Joormann, & Ian H. Gotlib. (2009). Judging the intensity of facial expressions of emotion: Depression-related biases in the processing of positive affect.. Journal of Abnormal Psychology. 118(1). 223–228. 95 indexed citations
16.
Yoon, K. Lira & Richard E. Zinbarg. (2008). Interpreting neutral faces as threatening is a default mode for socially anxious individuals.. Journal of Abnormal Psychology. 117(3). 680–685. 146 indexed citations
17.
Joormann, Jutta, K. Lira Yoon, & Ulrike Zetsche. (2007). Cognitive inhibition in depression. Applied and Preventive Psychology. 12(3). 128–139. 171 indexed citations
18.
Yoon, K. Lira & Richard E. Zinbarg. (2007). Generalized anxiety disorder and entry into marriage or a marriage-like relationship. Journal of Anxiety Disorders. 21(7). 955–965. 13 indexed citations
20.
Yoon, K. Lira, et al.. (2006). Amygdala reactivity to emotional faces at high and low intensity in generalized social phobia: A 4-Tesla functional MRI study. Psychiatry Research Neuroimaging. 154(1). 93–98. 87 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026