Colin G. DeYoung

22.0k total citations · 7 hit papers
144 papers, 11.4k citations indexed

About

Colin G. DeYoung is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Colin G. DeYoung has authored 144 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Experimental and Cognitive Psychology, 64 papers in Clinical Psychology and 50 papers in Cognitive Neuroscience. Recurrent topics in Colin G. DeYoung's work include Mental Health Research Topics (57 papers), Personality Traits and Psychology (36 papers) and Personality Disorders and Psychopathology (29 papers). Colin G. DeYoung is often cited by papers focused on Mental Health Research Topics (57 papers), Personality Traits and Psychology (36 papers) and Personality Disorders and Psychopathology (29 papers). Colin G. DeYoung collaborates with scholars based in United States, Canada and United Kingdom. Colin G. DeYoung's co-authors include Jordan B. Peterson, Lena C. Quilty, Jeremy R. Gray, Jacob B. Hirsh, Daniel M. Higgins, Yanna J. Weisberg, Rachael Grazioplene, Robert F. Krueger, Scott Barry Kaufman and Adam E. Green and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Colin G. DeYoung

141 papers receiving 11.0k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Between facets and domains: 10 aspects of the Big Five.

2007 1.3k citations Colin G. DeYoung, Lena C. Quilty et al. profile →
Testing Predictions From Personality Neuroscience

2010 660 citations Colin G. DeYoung et al. profile →
Higher-order factors of the Big Five in a multi-informant sample.

2006 601 citations Colin G. DeYoung profile →
Cybernetic Big Five Theory

2014 583 citations Colin G. DeYoung profile →
Gender Differences in Personality across the Ten Aspects of the Big Five

2011 573 citations Colin G. DeYoung et al. profile →
The Hierarchical Taxonomy of Psychopathology (HiTOP): A Quantitative Nosology Based on Consensus of Evidence

2021 291 citations Roman Kotov, Robert F. Krueger et al. profile →
Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience

2021 138 citations Giorgia Michelini, Isabella M. Palumbo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Colin G. DeYoung United States	46	4.7k	4.6k	3.3k	2.8k	1.6k	144	11.4k
Wendy Johnson United Kingdom	49	4.5k 1.0×	4.7k 1.0×	2.0k 0.6×	3.4k 1.2×	2.3k 1.5×	189	13.3k
Philip J. Corr United Kingdom	49	3.3k 0.7×	3.0k 0.6×	2.8k 0.9×	2.4k 0.9×	1.3k 0.8×	200	9.2k
Richard E. Zinbarg United States	54	6.4k 1.4×	5.6k 1.2×	2.3k 0.7×	2.7k 1.0×	881 0.6×	196	12.5k
Jamil Zaki United States	53	2.7k 0.6×	3.2k 0.7×	3.6k 1.1×	5.7k 2.0×	1.8k 1.2×	118	11.2k
Sander L. Koole Netherlands	53	3.1k 0.7×	3.0k 0.6×	2.0k 0.6×	4.6k 1.6×	2.5k 1.6×	144	10.5k
Pierre Philippot Belgium	58	2.9k 0.6×	4.7k 1.0×	4.3k 1.3×	2.6k 0.9×	1.3k 0.8×	223	10.4k
Antonio Terracciano United States	62	8.1k 1.7×	3.8k 0.8×	1.5k 0.5×	4.4k 1.6×	2.0k 1.3×	400	18.0k
Philip A. Vernon Canada	56	4.4k 0.9×	3.7k 0.8×	1.6k 0.5×	2.8k 1.0×	1.0k 0.7×	181	9.7k
Yuichi Shoda United States	44	5.2k 1.1×	3.6k 0.8×	1.8k 0.5×	5.0k 1.8×	3.2k 2.0×	96	13.7k
Thomas J. Bouchard United States	55	3.7k 0.8×	6.1k 1.3×	1.5k 0.5×	3.5k 1.3×	2.3k 1.5×	139	14.6k

Countries citing papers authored by Colin G. DeYoung

Since Specialization

Citations

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

Fields of papers citing papers by Colin G. DeYoung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin G. DeYoung. 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 Colin G. DeYoung. The network helps show where Colin G. DeYoung may publish in the future.

Co-authorship network of co-authors of Colin G. DeYoung

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

All Works

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20 of 20 papers shown

Jung, Rex E., et al.. (2025). Functional differentiation of the default and frontoparietal control networks predicts individual differences in creative achievement: evidence from macroscale cortical gradients. Cerebral Cortex. 35(3). 2 indexed citations

Blain, Scott D., Jerillyn S. Kent, Timothy A. Allen, et al.. (2025). Constructs across a hierarchical, dimensional model of psychopathology show differential associations with social and general cognitive ability. PLoS ONE. 20(1). e0317377–e0317377.

DeYoung, Colin G., Scott D. Blain, Robert D. Latzman, et al.. (2024). The hierarchical taxonomy of psychopathology and the search for neurobiological substrates of mental illness: A systematic review and roadmap for future research.. Journal of Psychopathology and Clinical Science. 133(8). 697–715. 5 indexed citations

Fraenz, Christoph, Caroline Schlüter, Wendy Johnson, et al.. (2024). Investigating robust associations between functional connectivity based on graph theory and general intelligence. Scientific Reports. 14(1). 1368–1368. 2 indexed citations

Safron, Adam, et al.. (2024). Stable individual differences from dynamic patterns of function: brain network flexibility predicts openness/intellect, intelligence, and psychoticism. Cerebral Cortex. 34(9). 2 indexed citations

Fraenz, Christoph, Rachael Grazioplene, Wendy Johnson, et al.. (2023). Robust associations between white matter microstructure and general intelligence. Cerebral Cortex. 33(11). 6723–6741. 5 indexed citations

Kim, Yuri, et al.. (2023). Genetic and neural bases of the neuroticism general factor. Biological Psychology. 184. 108692–108692. 5 indexed citations

Willoughby, Emily A., Yuri Kim, James J. Lee, & Colin G. DeYoung. (2023). The Construct Validity of Intellect and Openness as Distinct Aspects of Personality through Differential Associations with Reaction Time. Journal of Intelligence. 11(2). 30–30. 4 indexed citations

Rustichini, Aldo, Philippe Domenech, Claudia Civai, & Colin G. DeYoung. (2023). Working memory and attention in choice. PLoS ONE. 18(10). e0284127–e0284127. 1 indexed citations

10.

Nguyen, Phuong, Moin Syed, & Colin G. DeYoung. (2022). Four types of change and self‐other agreement on change in personality traits during college years: A multi‐informant longitudinal study. Journal of Personality. 91(2). 441–463. 3 indexed citations

11.

Watts, Ashley L., Robert D. Latzman, Cassandra L. Boness, et al.. (2022). New approaches to deep phenotyping in addictions.. Psychology of Addictive Behaviors. 37(3). 361–375. 17 indexed citations

12.

DeYoung, Colin G., Roman Kotov, Robert F. Krueger, et al.. (2021). Answering Questions About the Hierarchical Taxonomy of Psychopathology (HiTOP): Analogies to Whales and Sharks Miss the Boat. Clinical Psychological Science. 10(2). 279–284. 17 indexed citations

13.

Berg, Hannah, Yizhou Ma, Antonia N. Kaczkurkin, et al.. (2020). Salience and central executive networks track overgeneralization of conditioned-fear in post-traumatic stress disorder. Psychological Medicine. 51(15). 2610–2619. 18 indexed citations

14.

Wang, Xiaoqin, Scott D. Blain, Dongtao Wei, et al.. (2020). The role of frontal-subcortical connectivity in the relation between coping styles and reactivity and downregulation of negative emotion. Brain and Cognition. 146. 105631–105631. 8 indexed citations

15.

Abram, Samantha V., et al.. (2018). The goal priority network as a neural substrate of Conscientiousness. Human Brain Mapping. 39(9). 3574–3585. 48 indexed citations

16.

Widiger, Thomas A., Martin Sellbom, Michael S. Chmielewski, et al.. (2018). Personality in a Hierarchical Model of Psychopathology. Clinical Psychological Science. 7(1). 77–92. 106 indexed citations

17.

Allen, Timothy A., et al.. (2017). Big Five aspects of personality interact to predict depression. Journal of Personality. 86(4). 714–725. 60 indexed citations

18.

Grazioplene, Rachael, Robert S. Chavez, Aldo Rustichini, & Colin G. DeYoung. (2016). White matter correlates of psychosis-linked traits support continuity between personality and psychopathology.. Journal of Abnormal Psychology. 125(8). 1135–1145. 24 indexed citations

19.

Shiner, Rebecca L. & Colin G. DeYoung. (2013). The Structure of Temperament and Personality Traits. Oxford University Press eBooks. 11 indexed citations

20.

DeYoung, Colin G.. (2010). Personality Neuroscience and the Biology of Traits. Social and Personality Psychology Compass. 4(12). 1165–1180. 246 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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