Won Sub Kang

1.7k total citations · 1 hit paper
41 papers, 1.2k citations indexed

About

Won Sub Kang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Won Sub Kang has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Won Sub Kang's work include Tryptophan and brain disorders (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Suicide and Self-Harm Studies (4 papers). Won Sub Kang is often cited by papers focused on Tryptophan and brain disorders (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Suicide and Self-Harm Studies (4 papers). Won Sub Kang collaborates with scholars based in South Korea, Germany and Japan. Won Sub Kang's co-authors include Sang Min Lee, Jin Kyung Park, Tae Kim, Hae Jeong Park, Su Kang Kim, Jong Woo Kim, Jong-Woo Kim, Joo‐Ho Chung, Jong‐Woo Paik and Geon‐Ho Jahng and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and Gene.

In The Last Decade

Won Sub Kang

39 papers receiving 1.1k citations

Hit Papers

Psychological impact of the 2015 MERS outbreak on hospita... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won Sub Kang South Korea 13 763 413 161 148 133 41 1.2k
Martina Corsi Italy 20 819 1.1× 446 1.1× 116 0.7× 60 0.4× 174 1.3× 64 1.4k
Jen-Yeu Chen Taiwan 15 715 0.9× 406 1.0× 170 1.1× 157 1.1× 72 0.5× 18 1.3k
Mohammadreza Shalbafan Iran 19 662 0.9× 207 0.5× 197 1.2× 83 0.6× 45 0.3× 102 1.1k
Ayşe Kurtulmuş Türkiye 10 467 0.6× 323 0.8× 109 0.7× 103 0.7× 44 0.3× 25 957
Daniel W. Bradford United States 19 392 0.5× 309 0.7× 233 1.4× 75 0.5× 117 0.9× 41 1.7k
Li Kuang China 20 772 1.0× 176 0.4× 152 0.9× 43 0.3× 70 0.5× 90 1.5k
Bénédicte Gohier France 16 448 0.6× 231 0.6× 146 0.9× 34 0.2× 73 0.5× 76 1.3k
Lísia von Diemen Brazil 22 604 0.8× 255 0.6× 130 0.8× 21 0.1× 84 0.6× 96 1.7k
Qi Zuo China 11 720 0.9× 133 0.3× 145 0.9× 44 0.3× 86 0.6× 36 1.2k
Tiebang Liu China 24 444 0.6× 378 0.9× 172 1.1× 41 0.3× 410 3.1× 66 1.7k

Countries citing papers authored by Won Sub Kang

Since Specialization
Citations

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

Fields of papers citing papers by Won Sub Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Sub Kang. 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 Won Sub Kang. The network helps show where Won Sub Kang may publish in the future.

Co-authorship network of co-authors of Won Sub Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Won Sub Kang. A scholar is included among the top collaborators of Won Sub Kang 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 Won Sub Kang. Won Sub Kang 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.
Rhee, Sang Jin, Min Ji Kim, Hyun Ju Lee, et al.. (2024). Development and external validation of a logistic and a penalized logistic model using machine-learning techniques to predict suicide attempts: A multicenter prospective cohort study in Korea. Journal of Psychiatric Research. 176. 442–451. 1 indexed citations
2.
Park, C. Hyung Keun, Sang Jin Rhee, Min Ji Kim, et al.. (2024). Psychotropic Medications Promote Time-Dependent Reduction of Suicidal Ideation in Mood Disorder: A Prospective Cohort Study. Journal of Korean Medical Science. 39(31). e226–e226. 1 indexed citations
3.
Kim, Sun Mi, Won Sub Kang, Hong Jun Jeon, et al.. (2023). Development of a Guideline for Antipsychotic-induced Hyperprolactinemia in Korea Using the ADAPTE Process. Clinical Psychopharmacology and Neuroscience. 21(3). 447–456.
5.
Park, Ji Ae, Hyung Joong Kim, Tong In Oh, et al.. (2021). Identification of Brain Damage after Seizures Using an MR-Based Electrical Conductivity Imaging Method. Diagnostics. 11(3). 569–569. 1 indexed citations
6.
Lee, Sang Min, et al.. (2021). Economic burden of eating disorders in South Korea. Journal of Eating Disorders. 9(1). 30–30. 11 indexed citations
7.
Kim, Jong Woo, et al.. (2020). Depression, Anxiety, Related Risk Factors and Cognitive Distortion in Korean Patients with Inflammatory Bowel Disease. Psychiatry Investigation. 17(11). 1126–1136. 12 indexed citations
8.
Lee, Sang Min, Won Sub Kang, Geon‐Ho Jahng, et al.. (2018). Gray Matter Volume Reductions Were Associated with TPH1 Polymorphisms in Depressive Disorder Patients with Suicidal Attempts. Psychiatry Investigation. 15(12). 1174–1180. 8 indexed citations
9.
Lee, Sang Min, et al.. (2018). Altered resting-state functional connectivity in depressive disorder patients with suicidal attempts. Neuroscience Letters. 696. 174–178. 11 indexed citations
10.
Kang, Won Sub, et al.. (2018). Association of CCL11 promoter polymorphisms with schizophrenia in a Korean population. Gene. 656. 80–85. 5 indexed citations
11.
Lee, Hwa‐Young, Hyung‐Ki Kim, Jun‐Tack Kwon, et al.. (2017). BBOX1 is down-regulated in maternal immune-activated mice and implicated in genetic susceptibility to human schizophrenia. Psychiatry Research. 259. 197–202. 6 indexed citations
12.
Park, Hae Jeong, Geon‐Ho Jahng, Sang Min Lee, et al.. (2017). A pilot study of differential brain activation to suicidal means and DNA methylation of CACNA1C gene in suicidal attempt patients. Psychiatry Research. 255. 42–48. 17 indexed citations
13.
Kang, Won Sub, Jin Kyung Park, Hae Jeong Park, et al.. (2016). Association of tripartite motif family-like 2 (TRIML2) polymorphisms with late-onset Alzheimer’s disease risk in a Korean population. Neuroscience Letters. 630. 127–131. 5 indexed citations
14.
Kang, Won Sub, et al.. (2015). Prescription Patterns of Benzodiazepine for Outpatients in a Psychiatric Department in Korea. 11(2). 143–148. 3 indexed citations
15.
Kang, Won Sub, Jin Kyung Park, Sang Min Lee, et al.. (2013). Association between genetic polymorphisms of Toll-like receptor 2 (TLR2) and schizophrenia in the Korean population. Gene. 526(2). 182–186. 24 indexed citations
16.
Kang, Won Sub, Hae Jeong Park, Joo‐Ho Chung, & Jong Woo Kim. (2013). REM sleep deprivation increases the expression of interleukin genes in mice hypothalamus. Neuroscience Letters. 556. 73–78. 25 indexed citations
17.
Park, Hae Jeong, Su Kang Kim, Jong-Woo Kim, Won Sub Kang, & Joo‐Ho Chung. (2012). Association of thrombospondin 1 gene with schizophrenia in Korean population. Molecular Biology Reports. 39(6). 6875–6880. 13 indexed citations
18.
Kang, Won Sub, Jin Kyung Park, Su Kang Kim, et al.. (2012). Genetic variants of GRIA1 are associated with susceptibility to schizophrenia in Korean population. Molecular Biology Reports. 39(12). 10697–10703. 13 indexed citations
19.
Kang, Won Sub & Jong Woo Kim. (2010). Psychiatric Approach in the Treatment of Obesity. Journal of Obesity & Metabolic Syndrome. 19(3). 71–77. 2 indexed citations
20.
Kang, Won Sub, et al.. (1979). Genetic Structure of the Queckchi Indians. Human Heredity. 29(3). 134–142. 4 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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