Yoonho Chung

3.1k total citations · 1 hit paper
18 papers, 885 citations indexed

About

Yoonho Chung is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yoonho Chung has authored 18 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 10 papers in Psychiatry and Mental health and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yoonho Chung's work include Functional Brain Connectivity Studies (11 papers), Schizophrenia research and treatment (10 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Yoonho Chung is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Schizophrenia research and treatment (10 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Yoonho Chung collaborates with scholars based in United States, Canada and Sweden. Yoonho Chung's co-authors include Tyrone D. Cannon, Carrie E. Bearden, Thomas H. McGlashan, Elaine F. Walker, Ming T. Tsuang, Barbara A. Cornblatt, Scott W. Woods, Diana O. Perkins, Jean Addington and Larry J. Seidman and has published in prestigious journals such as Biological Psychiatry, Neuroscience & Biobehavioral Reviews and Neuropsychopharmacology.

In The Last Decade

Yoonho Chung

17 papers receiving 882 citations

Hit Papers

Progressive Reduction in Cortical Thickness as Psychosis ... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoonho Chung United States 11 438 437 242 174 116 18 885
George He United States 11 407 0.9× 325 0.7× 162 0.7× 150 0.9× 114 1.0× 20 787
Deepak K. Sarpal United States 15 593 1.4× 400 0.9× 322 1.3× 74 0.4× 100 0.9× 36 1.0k
Laurena Holleran Ireland 14 220 0.5× 249 0.6× 218 0.9× 134 0.8× 58 0.5× 36 680
Christopher A. Chaddock United Kingdom 11 488 1.1× 507 1.2× 313 1.3× 114 0.7× 203 1.8× 17 985
Jaya Padmanabhan United States 13 283 0.6× 340 0.8× 108 0.4× 78 0.4× 69 0.6× 22 712
Dielle Miranda Canada 11 379 0.9× 288 0.7× 341 1.4× 53 0.3× 131 1.1× 13 839
Alan Francis United States 19 796 1.8× 752 1.7× 513 2.1× 96 0.6× 129 1.1× 26 1.3k
Cecilie B. Hartberg Norway 18 825 1.9× 765 1.8× 488 2.0× 103 0.6× 86 0.7× 32 1.4k
Alessandra Crescini Italy 5 449 1.0× 421 1.0× 245 1.0× 54 0.3× 92 0.8× 5 768
R.S. Kahn Netherlands 14 452 1.0× 504 1.2× 296 1.2× 77 0.4× 101 0.9× 28 930

Countries citing papers authored by Yoonho Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yoonho Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoonho Chung

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

All Works

18 of 18 papers shown
1.
Webb, Christian A., et al.. (2025). Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping. Translational Psychiatry. 15(1). 174–174. 1 indexed citations
2.
Chung, Yoonho, Jeffrey M. Girard, Caitlin Ravichandran, et al.. (2024). Transdiagnostic modeling of clinician-rated symptoms in affective and nonaffective psychotic disorders.. Journal of Psychopathology and Clinical Science. 134(1). 81–96.
3.
Liebenthal, Einat, et al.. (2022). Linguistic and non-linguistic markers of disorganization in psychotic illness. Schizophrenia Research. 259. 111–120. 7 indexed citations
4.
Collins, Meghan A., Yoonho Chung, Jean Addington, et al.. (2021). Discriminatory experiences predict neuroanatomical changes and anxiety among healthy individuals and those at clinical high risk for psychosis. NeuroImage Clinical. 31. 102757–102757. 10 indexed citations
5.
Chung, Yoonho, Jean Addington, Carrie E. Bearden, et al.. (2019). Adding a neuroanatomical biomarker to an individualized risk calculator for psychosis: A proof-of-concept study. Schizophrenia Research. 208. 41–43. 13 indexed citations
6.
Chung, Yoonho, Dana Allswede, Jean Addington, et al.. (2019). Cortical abnormalities in youth at clinical high-risk for psychosis: Findings from the NAPLS2 cohort. NeuroImage Clinical. 23. 101862–101862. 45 indexed citations
7.
Chung, Yoonho, Jean Addington, Carrie E. Bearden, et al.. (2018). Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk. JAMA Psychiatry. 75(9). 960–960. 99 indexed citations
8.
Cao, Hengyi, Sarah McEwen, Yoonho Chung, et al.. (2018). O3.2. BRAIN HYPERACTIVATION DURING MEMORY RETRIEVAL PRECEDES AND PREDICTS CONVERSION TO PSYCHOSIS IN INDIVIDUALS AT CLINICAL HIGH RISK. Schizophrenia Bulletin. 44(suppl_1). S79–S79. 2 indexed citations
9.
Chung, Yoonho, Jean Addington, Carrie E. Bearden, et al.. (2018). S184. MACHINE LEARNING REVEALS DEVIANCE IN NEUROANATOMICAL MATURITY PREDICTIVE OF FUTURE PSYCHOSIS IN YOUTH AT CLINICAL HIGH RISK. Schizophrenia Bulletin. 44(suppl_1). S396–S397. 1 indexed citations
10.
Chung, Yoonho, Kristen M. Haut, George He, et al.. (2017). Ventricular enlargement and progressive reduction of cortical gray matter are linked in prodromal youth who develop psychosis. Schizophrenia Research. 189. 169–174. 35 indexed citations
11.
Allswede, Dana, Amanda B. Zheutlin, Yoonho Chung, et al.. (2017). Complement Gene Expression Correlates with Superior Frontal Cortical Thickness in Humans. Neuropsychopharmacology. 43(3). 525–533. 29 indexed citations
12.
Zheutlin, Amanda B., Clark Jeffries, Diana O. Perkins, et al.. (2017). The Role of microRNA Expression in Cortical Development During Conversion to Psychosis. Neuropsychopharmacology. 42(11). 2188–2195. 14 indexed citations
13.
Allswede, Dana, Amanda B. Zheutlin, Yoonho Chung, et al.. (2017). SU4. Complement Gene Expression Correlates With Superior Frontal Cortical Thickness in Humans. Schizophrenia Bulletin. 43(suppl_1). S162–S162. 1 indexed citations
14.
Walter, Anna, Claudia Suenderhauf, Fabienne Harrisberger, et al.. (2016). Hippocampal volume in subjects at clinical high-risk for psychosis: A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews. 71. 680–690. 34 indexed citations
15.
Chung, Yoonho & Tyrone D. Cannon. (2015). Brain Imaging During the Transition from Psychosis Prodrome to Schizophrenia. The Journal of Nervous and Mental Disease. 203(5). 336–341. 41 indexed citations
16.
17.
Squeglia, Lindsay M., Daniel A. Rinker, Hauke Bartsch, et al.. (2014). Brain volume reductions in adolescent heavy drinkers. Developmental Cognitive Neuroscience. 9. 117–125. 109 indexed citations
18.
Cannon, Tyrone D., Yoonho Chung, George He, et al.. (2014). Progressive Reduction in Cortical Thickness as Psychosis Develops: A Multisite Longitudinal Neuroimaging Study of Youth at Elevated Clinical Risk. Biological Psychiatry. 77(2). 147–157. 420 indexed citations breakdown →

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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