Seung-Ho Jang

848 total citations
45 papers, 548 citations indexed

About

Seung-Ho Jang is a scholar working on Psychiatry and Mental health, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Seung-Ho Jang has authored 45 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Psychiatry and Mental health, 12 papers in Clinical Psychology and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Seung-Ho Jang's work include Health and Wellbeing Research (7 papers), Gastrointestinal motility and disorders (6 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers). Seung-Ho Jang is often cited by papers focused on Health and Wellbeing Research (7 papers), Gastrointestinal motility and disorders (6 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers). Seung-Ho Jang collaborates with scholars based in South Korea, United States and Japan. Seung-Ho Jang's co-authors include Sang-Yeol Lee, Hye-Jin Lee, Han-Seung Ryu, Yong Sung Kim, Ju Yup Lee, Ji Min Choi, Jung Ho Park, Changhyun Lee, Jung Hwan Oh and S S Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Seung-Ho Jang

41 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seung-Ho Jang South Korea 12 191 132 119 84 78 45 548
Gabriele Berger Austria 15 203 1.1× 219 1.7× 37 0.3× 91 1.1× 332 4.3× 31 928
Rebecca Firth United States 11 507 2.7× 94 0.7× 191 1.6× 141 1.7× 99 1.3× 22 694
Mary T. Quilty United States 9 107 0.6× 72 0.5× 43 0.4× 74 0.9× 67 0.9× 12 515
Massimo De Carne Italy 12 154 0.8× 156 1.2× 76 0.6× 46 0.5× 383 4.9× 15 670
Christoph Herda Germany 9 123 0.6× 51 0.4× 71 0.6× 48 0.6× 43 0.6× 14 371
Teresa Cutts United States 14 693 3.6× 52 0.4× 89 0.7× 303 3.6× 46 0.6× 36 1000
Natalia M. Flores United States 11 156 0.8× 19 0.1× 22 0.2× 167 2.0× 45 0.6× 15 550
William Hirsch United States 16 317 1.7× 27 0.2× 17 0.1× 112 1.3× 52 0.7× 26 680
Helen Tilbrook United Kingdom 13 65 0.3× 139 1.1× 22 0.2× 94 1.1× 69 0.9× 17 586
Marieke van Dijk Netherlands 15 397 2.1× 36 0.3× 18 0.2× 214 2.5× 150 1.9× 25 1.2k

Countries citing papers authored by Seung-Ho Jang

Since Specialization
Citations

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

Fields of papers citing papers by Seung-Ho Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung-Ho Jang. 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-Ho Jang. The network helps show where Seung-Ho Jang may publish in the future.

Co-authorship network of co-authors of Seung-Ho Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Ho Jang. A scholar is included among the top collaborators of Seung-Ho Jang 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-Ho Jang. Seung-Ho Jang 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.
Yang, Chan-Mo, et al.. (2023). The Korean Version of Pandemic Stress Questionnaire: Validation in Korean Population. Clinical Psychopharmacology and Neuroscience. 21(2). 377–385. 2 indexed citations
2.
Lee, Ayoung, Ju Yup Lee, Sung-Won Jung, et al.. (2023). Brain–Gut–Microbiota Axis. SHILAP Revista de lepidopterología. 81(4). 145–153. 10 indexed citations
3.
Choi, Julie, et al.. (2023). Development and verification of the Menopause Emotional Symptom Questionnaire. Neuroscience Applied. 2. 103545–103545. 1 indexed citations
4.
Yang, Chan-Mo, et al.. (2022). Mental Health and Quality of Life for Disaster Service Workers in a Province under COVID-19. Journal of Clinical Medicine. 11(6). 1600–1600. 2 indexed citations
5.
Woo, Young Sup, Won‐Myong Bahk, Young‐Min Park, et al.. (2022). The Korean Medication Algorithm Project for Depressive Disorder 2021: Comparisons with Other Treatment Guidelines. Clinical Psychopharmacology and Neuroscience. 20(1). 37–50. 9 indexed citations
6.
7.
Woo, Young Sup, Won‐Myong Bahk, Young‐Min Park, et al.. (2021). Korean Medication Algorithm Project for Depressive Disorder 2021 (I): Treatment Strategies for Major Depressive Episode. Journal of Korean Neuropsychiatric Association. 60(3). 174–174. 2 indexed citations
8.
Yang, Chan-Mo, Se-Hoon Shim, Won‐Myong Bahk, et al.. (2021). Korean Medication Algorithm Project for Depressive Disorder 2021 (III): Child and Adolescent. Journal of Korean Neuropsychiatric Association. 60(3). 193–193.
9.
Yang, Chan-Mo, et al.. (2021). Classification of Adolescent Psychiatric Patients at High Risk of Suicide Using the Personality Assessment Inventory by Machine Learning. Psychiatry Investigation. 18(11). 1137–1143. 14 indexed citations
10.
Bahk, Won‐Myong, Young Sup Woo, Young‐Min Park, et al.. (2021). Korean Medication Algorithm for Depressive Disorder 2021, Fourth Revision: An Executive Summary. Clinical Psychopharmacology and Neuroscience. 19(4). 751–772. 7 indexed citations
11.
Park, Seung-Kyu, Sang-Yeol Lee, Han-Seung Ryu, et al.. (2021). A Study on the Difference of Psychosocial Characteristics and Quality of Life according to the Type of Functional Gastrointestinal Disorder. 29(1). 58–66. 1 indexed citations
12.
Yang, Chan-Mo, et al.. (2021). The Korean Version of Fear of COVID-19 Scale: Psychometric Validation in the Korean Population. Psychiatry Investigation. 18(4). 332–339. 15 indexed citations
13.
Lee, Sang-Yeol, Han-Seung Ryu, Suck Chei Choi, & Seung-Ho Jang. (2020). Psychological Factors Influence the Overlap Syndrome in Functional Gastrointestinal Disorder and Quality of Life among Psychiatric Patients in South Korea. Psychiatry Investigation. 17(3). 262–267. 7 indexed citations
14.
Park, Seon‐Cheol, Kiwon Kim, Hyung‐Jun Yoon, et al.. (2020). Network Analysis of Language Disorganization in Patients with Schizophrenia. Yonsei Medical Journal. 61(8). 726–726. 3 indexed citations
15.
Perry, Benjamin I., Rachel Upthegrove, Seung-Ho Jang, et al.. (2020). Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis. Acta Psychiatrica Scandinavica. 142(3). 215–232. 13 indexed citations
16.
17.
Yang, Chan-Mo, et al.. (2020). Reliability and Validity of the Korean Version of Somatic Symptom Scale-8. Psychiatry Investigation. 17(8). 814–821. 9 indexed citations
18.
Kim, Sun Mi, Young‐Hoon Ko, Seoyoung Yoon, et al.. (2019). The Development of Evidence-Based Guideline for Diagnosis and Management of Headache in Korea. Psychiatry Investigation. 16(3). 199–205. 2 indexed citations
19.
Jang, Seung-Ho, Han-Seung Ryu, Suck Chei Choi, Hye-Jin Lee, & Sang-Yeol Lee. (2017). Psychological factors influence the overlap syndrome in functional gastrointestinal disorders (FGIDs) among middle-aged women in South Korea. Women & Health. 58(1). 112–127. 7 indexed citations
20.
Jang, Seung-Ho, Han-Seung Ryu, Suck Chei Choi, & Sang-Yeol Lee. (2016). Psychological factors influence the gastroesophageal reflux disease (GERD) and their effect on quality of life among firefighters in South Korea. International Journal of Occupational and Environmental Health. 22(4). 315–320. 22 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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