Seung Bin Cho

580 total citations
16 papers, 403 citations indexed

About

Seung Bin Cho is a scholar working on Epidemiology, Genetics and Clinical Psychology. According to data from OpenAlex, Seung Bin Cho has authored 16 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 6 papers in Genetics and 4 papers in Clinical Psychology. Recurrent topics in Seung Bin Cho's work include Substance Abuse Treatment and Outcomes (12 papers), Genetic Associations and Epidemiology (6 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). Seung Bin Cho is often cited by papers focused on Substance Abuse Treatment and Outcomes (12 papers), Genetic Associations and Epidemiology (6 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). Seung Bin Cho collaborates with scholars based in United States, United Kingdom and South Korea. Seung Bin Cho's co-authors include Danielle M. Dick, Kenneth S. Kendler, Jessica E. Salvatore, Amy Adkins, Howard J. Edenberg, Megan Cooke, Alexis C. Edwards, Marc A. Schuckit, Sally I‐Chun Kuo and Kathleen K. Bucholz and has published in prestigious journals such as Development and Psychopathology, Alcoholism Clinical and Experimental Research and Addictive Behaviors.

In The Last Decade

Seung Bin Cho

16 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seung Bin Cho United States	11	197	142	81	70	69	16	403
Zoë Neale United States	11	149 0.8×	143 1.0×	65 0.8×	42 0.6×	37 0.5×	20	360
Frank Angelo United States	12	186 0.9×	80 0.6×	51 0.6×	21 0.3×	41 0.6×	19	382
William Howells United States	7	95 0.5×	123 0.9×	33 0.4×	34 0.5×	44 0.6×	11	416
Brenda G. Hewitt United States	8	182 0.9×	56 0.4×	108 1.3×	40 0.6×	19 0.3×	12	385
Danilo Antônio Baltieri Brazil	15	226 1.1×	236 1.7×	62 0.8×	18 0.3×	20 0.3×	44	640
Marsha R. Read United States	9	237 1.2×	139 1.0×	84 1.0×	33 0.5×	12 0.2×	15	376
Vetisha L. McClair United States	4	109 0.6×	109 0.8×	24 0.3×	39 0.6×	11 0.2×	6	347
Christopher Saenz United States	10	124 0.6×	134 0.9×	10 0.1×	41 0.6×	59 0.9×	11	508
Nick J. Piazza United States	10	164 0.8×	177 1.2×	65 0.8×	18 0.3×	32 0.5×	31	423
Harriet B. Braiker	5	309 1.6×	141 1.0×	102 1.3×	36 0.5×	44 0.6×	7	470

Countries citing papers authored by Seung Bin Cho

Since Specialization

Citations

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

Fields of papers citing papers by Seung Bin Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seung Bin Cho

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

All Works

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16 of 16 papers shown

Cho, Seung Bin, Rebecca L. Smith, Kathleen K. Bucholz, et al.. (2020). Using a developmental perspective to examine the moderating effects of marriage on heavy episodic drinking in a young adult sample enriched for risk. Development and Psychopathology. 33(3). 1097–1106. 3 indexed citations

Cho, Seung Bin, Jinni Su, Sally I‐Chun Kuo, et al.. (2019). Positive and negative reinforcement are differentially associated with alcohol consumption as a function of alcohol dependence.. Psychology of Addictive Behaviors. 33(1). 58–68. 67 indexed citations

Dick, Danielle M., Peter B. Barr, Seung Bin Cho, et al.. (2017). Post‐GWAS in Psychiatric Genetics: A Developmental Perspective on the “Other” Next Steps. Genes Brain & Behavior. 17(3). e12447–e12447. 28 indexed citations

Li, James J., Seung Bin Cho, Jessica E. Salvatore, et al.. (2017). The Impact of Peer Substance Use and Polygenic Risk on Trajectories of Heavy Episodic Drinking Across Adolescence and Emerging Adulthood. PMC. 6 indexed citations

Cho, Seung Bin, Fazil Alıev, Shaunna L. Clark, et al.. (2017). Using Patterns of Genetic Association to Elucidate Shared Genetic Etiologies Across Psychiatric Disorders. Behavior Genetics. 47(4). 405–415. 3 indexed citations

Salvatore, Jessica E., Seung Bin Cho, & Danielle M. Dick. (2017). Genes, Environments, and Sex Differences in Alcohol Research. Journal of Studies on Alcohol and Drugs. 78(4). 494–501. 41 indexed citations

Cooke, Megan, Aashir Nasim, Seung Bin Cho, et al.. (2016). Predicting Tobacco Use across the First Year of College. American Journal of Health Behavior. 40(4). 484–495. 10 indexed citations

Salvatore, Jessica E., Nathaniel Thomas, Seung Bin Cho, et al.. (2016). The role of romantic relationship status in pathways of risk for emerging adult alcohol use.. Psychology of Addictive Behaviors. 30(3). 335–344. 23 indexed citations

Li, James J., Seung Bin Cho, Jessica E. Salvatore, et al.. (2016). The Impact of Peer Substance Use and Polygenic Risk on Trajectories of Heavy Episodic Drinking Across Adolescence and Emerging Adulthood. Alcoholism Clinical and Experimental Research. 41(1). 65–75. 28 indexed citations

10.

Edwards, Alexis C., et al.. (2016). Gender and Direction of Effect of Alcohol Problems and Internalizing Symptoms in a Longitudinal Sample of College Students. Substance Use & Misuse. 52(4). 429–438. 9 indexed citations

11.

Berenz, Erin C., Seung Bin Cho, Cassie Overstreet, et al.. (2015). Longitudinal investigation of interpersonal trauma exposure and alcohol use trajectories. Addictive Behaviors. 53. 67–73. 21 indexed citations

12.

Savage, Jeanne E., Zoë Neale, Seung Bin Cho, et al.. (2015). Level of Response to Alcohol as a Factor for Targeted Prevention in College Students. Alcoholism Clinical and Experimental Research. 39(11). 2215–2223. 17 indexed citations

13.

Cho, Seung Bin, Danielle C. Llaneza, Amy Adkins, et al.. (2015). Patterns of Substance Use Across the First Year of College and Associated Risk Factors. Frontiers in Psychiatry. 6. 152–152. 51 indexed citations

14.

Kendler, Kenneth S., Alexis C. Edwards, John Myers, et al.. (2015). The predictive power of family history measures of alcohol and drug problems and internalizing disorders in a college population. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 168(5). 337–346. 30 indexed citations

15.

Edwards, Alexis C., Shawn J. Latendresse, Jon Heron, et al.. (2014). Childhood Internalizing Symptoms Are Negatively Associated with Early Adolescent Alcohol Use. Alcoholism Clinical and Experimental Research. 38(6). 1680–1688. 32 indexed citations

16.

Dick, Danielle M., Seung Bin Cho, Shawn J. Latendresse, et al.. (2013). Genetic influences on alcohol use across stages of development:GABRA2and longitudinal trajectories of drunkenness from adolescence to young adulthood. Addiction Biology. 19(6). 1055–1064. 34 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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