Youngsun Cho

1.1k total citations
23 papers, 668 citations indexed

About

Youngsun Cho is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Youngsun Cho has authored 23 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 7 papers in Psychiatry and Mental health and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Youngsun Cho's work include Functional Brain Connectivity Studies (11 papers), Schizophrenia research and treatment (7 papers) and Memory and Neural Mechanisms (5 papers). Youngsun Cho is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Schizophrenia research and treatment (7 papers) and Memory and Neural Mechanisms (5 papers). Youngsun Cho collaborates with scholars based in United States, Slovenia and Croatia. Youngsun Cho's co-authors include Julie L. Fudge, Alan Anticevic, Mathias Ernst, Aleksandar Savić, John H. Krystal, Grega Repovš, Stephen J. Fromm, Daniel S. Pine, Allison Detloff and Monique Ernst and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Neuroscience.

In The Last Decade

Youngsun Cho

19 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngsun Cho United States 12 395 135 115 109 86 23 668
Stephen B. Baumann United States 16 710 1.8× 92 0.7× 74 0.6× 147 1.3× 264 3.1× 32 1.2k
Leandro Beltrachini United Kingdom 15 438 1.1× 32 0.2× 187 1.6× 116 1.1× 177 2.1× 27 744
Yury Koush Switzerland 18 742 1.9× 161 1.2× 102 0.9× 45 0.4× 206 2.4× 32 917
Clement Vachet United States 17 621 1.6× 17 0.1× 150 1.3× 55 0.5× 350 4.1× 40 1.2k
S.I. Gonçalves Netherlands 13 801 2.0× 36 0.3× 75 0.7× 98 0.9× 297 3.5× 31 1.1k
Martin Hohmann Germany 11 316 0.8× 76 0.6× 37 0.3× 29 0.3× 127 1.5× 44 666
Henry Luckhoo United Kingdom 10 1.1k 2.8× 55 0.4× 41 0.4× 101 0.9× 272 3.2× 11 1.2k
Moritz Dannhauer United States 18 801 2.0× 30 0.2× 193 1.7× 263 2.4× 376 4.4× 45 1.3k
Steffen Bollmann Australia 14 480 1.2× 43 0.3× 156 1.4× 77 0.7× 384 4.5× 49 912
Francesca Bonini France 20 766 1.9× 76 0.6× 764 6.6× 445 4.1× 101 1.2× 41 1.5k

Countries citing papers authored by Youngsun Cho

Since Specialization
Citations

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

Fields of papers citing papers by Youngsun Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youngsun Cho. 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 Youngsun Cho. The network helps show where Youngsun Cho may publish in the future.

Co-authorship network of co-authors of Youngsun Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Youngsun Cho. A scholar is included among the top collaborators of Youngsun Cho 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 Youngsun Cho. Youngsun Cho 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.
Cahill, John D., Donald Addington, Carrie E. Bearden, et al.. (2025). Prediction of antipsychotic medication inception in antipsychotic-naive youth at clinical high risk for psychosis. Psychological Medicine. 55. e241–e241.
2.
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Cho, Youngsun, Charles Schleifer, Jie Lisa Ji, et al.. (2022). Reward and loss incentives improve spatial working memory by shaping trial-by-trial posterior frontoparietal signals. NeuroImage. 254. 119139–119139. 8 indexed citations
5.
Ji, Jie Lisa, Markus Helmer, Clara Fonteneau, et al.. (2021). Mapping brain-behavior space relationships along the psychosis spectrum. eLife. 10. 21 indexed citations
6.
Cho, Youngsun, et al.. (2020). THE EFFECTS OF L1–L2 PHONOLOGICAL MAPPINGS ON L2 PHONOLOGICAL SENSITIVITY. Studies in Second Language Acquisition. 42(5). 1041–1076. 1 indexed citations
7.
Gold, James M., Sonia Bansal, Alan Anticevic, et al.. (2020). Refining the Empirical Constraints on Computational Models of Spatial Working Memory in Schizophrenia. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(9). 913–922. 9 indexed citations
8.
Choi, Ji Eun & Youngsun Cho. (2019). Influences of Worker’s Job Mentoring Program of female university students in Career Self-efficacy and Career Decision Making and Career Preparation Behavior. Korean Association For Learner-Centered Curriculum And Instruction. 19(2). 581–601. 1 indexed citations
9.
Cho, Youngsun, Norman H. Lam, Aleksandar Savić, et al.. (2018). Effects of reward on spatial working memory in schizophrenia.. Journal of Abnormal Psychology. 127(7). 695–709. 9 indexed citations
10.
Cho, Youngsun, Yanqing Tang, Aleksandar Savić, et al.. (2016). Amygdala volume is reduced in early course schizophrenia. Psychiatry Research Neuroimaging. 250. 50–60. 32 indexed citations
11.
Murray, John D., Aleksandar Savić, Caroline Diehl, et al.. (2016). Schizophrenia is associated with a pattern of spatial working memory deficits consistent with cortical disinhibition. Schizophrenia Research. 181. 107–116. 51 indexed citations
12.
Anticevic, Alan, Charles Schleifer, & Youngsun Cho. (2015). Emotional and cognitive dysregulation in schizophrenia and depression: understanding common and distinct behavioral and neural mechanisms. Dialogues in Clinical Neuroscience. 17(4). 421–434. 24 indexed citations
13.
Cho, Youngsun, et al.. (2015). Investigation On Structural Relationship Among Adolescents’ Media Use, Self-Directed Learning, And Ego-Resilience. Procedia - Social and Behavioral Sciences. 191. 1426–1430.
14.
Anticevic, Alan, Michael W. Cole, Grega Repovš, et al.. (2013). Connectivity, Pharmacology, and Computation: Toward a Mechanistic Understanding of Neural System Dysfunction in Schizophrenia. Frontiers in Psychiatry. 4. 169–169. 68 indexed citations
15.
Cho, Youngsun, Mathias Ernst, & Julie L. Fudge. (2013). Cortico-Amygdala-Striatal Circuits Are Organized as Hierarchical Subsystems through the Primate Amygdala. Journal of Neuroscience. 33(35). 14017–14030. 85 indexed citations
16.
Anticevic, Alan, Yanqing Tang, Youngsun Cho, et al.. (2013). Amygdala Connectivity Differs Among Chronic, Early Course, and Individuals at Risk for Developing Schizophrenia. Schizophrenia Bulletin. 40(5). 1105–1116. 66 indexed citations
17.
Cho, Youngsun, Stephen J. Fromm, Amanda E. Guyer, et al.. (2012). Nucleus accumbens, thalamus and insula connectivity during incentive anticipation in typical adults and adolescents. NeuroImage. 66. 508–521. 135 indexed citations
18.
Cho, Youngsun & Julie L. Fudge. (2009). Heterogeneous dopamine populations project to specific subregions of the primate amygdala. Neuroscience. 165(4). 1501–1518. 16 indexed citations
19.
Shi, Feng, et al.. (2006). Down-regulation of ERK but not MEK phosphorylation in cultured endothelial cells by repeated changes in cyclic stretch. Cardiovascular Research. 73(4). 813–822. 19 indexed citations
20.
Lee, Jong‐Hyeon, et al.. (2002). A numerical analysis of a gas—tungsten arc welding considering the current density and temperature distribution on the electrode surface. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 216(8). 1115–1121. 10 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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