Min Jin Jin

817 total citations
43 papers, 589 citations indexed

About

Min Jin Jin is a scholar working on Clinical Psychology, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Min Jin Jin has authored 43 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Clinical Psychology, 7 papers in Cognitive Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Min Jin Jin's work include Child and Adolescent Psychosocial and Emotional Development (7 papers), Child Abuse and Trauma (5 papers) and Functional Brain Connectivity Studies (5 papers). Min Jin Jin is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (7 papers), Child Abuse and Trauma (5 papers) and Functional Brain Connectivity Studies (5 papers). Min Jin Jin collaborates with scholars based in South Korea, China and United States. Min Jin Jin's co-authors include Seung‐Hwan Lee, Sungkean Kim, Chang‐Hwan Im, Miseon Shim, Sang‐Woo Hahn, Wookyoung Jung, Myoung‐Ho Hyun, Ji Sun Kim, Hyeonjin Jeon and Zhanli Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Psychological Medicine.

In The Last Decade

Min Jin Jin

39 papers receiving 571 citations

Peers

Min Jin Jin
Chan‐Young Kwon South Korea
Min Jin Jin
Citations per year, relative to Min Jin Jin Min Jin Jin (= 1×) peers Chan‐Young Kwon

Countries citing papers authored by Min Jin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Min Jin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Jin Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Min Jin Jin. A scholar is included among the top collaborators of Min Jin Jin 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 Min Jin Jin. Min Jin Jin 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
2.
Jin, Min Jin & Sung‐Man Bae. (2023). The Effect of Social Isolation, Loneliness, and Physical Activity on Depressive Symptoms of Older Adults during COVID-19: A Moderated Mediation Analysis. International Journal of Environmental Research and Public Health. 21(1). 26–26. 6 indexed citations
3.
Kim, Yong-Wook, Sungkean Kim, Min Jin Jin, Chang‐Hwan Im, & Seung‐Hwan Lee. (2023). The Importance of Low-frequency Alpha (8−10 Hz) Waves and Default Mode Network in Behavioral Inhibition. Clinical Psychopharmacology and Neuroscience. 22(1). 53–66. 3 indexed citations
4.
Shim, Se-Hoon, et al.. (2022). Impact of Interpersonal Relationships and Acquired Capability for Suicide on Suicide Attempts: A Cross-Sectional Study. Psychiatry Investigation. 19(5). 362–370. 2 indexed citations
5.
Jin, Min Jin, et al.. (2022). Understanding a Mutually Destructive Relationship Between Individuals With Borderline Personality Disorder and Their Favorite Person. Psychiatry Investigation. 19(12). 1069–1077. 2 indexed citations
6.
Jin, Min Jin, et al.. (2021). An Automatic Clinical Model for Chinese Medicine Based on Interpretable Machine Learning Algorithms. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3805–3811. 2 indexed citations
7.
Hwang, Heungsun, Gyeongcheol Cho, Kwanghee Jung, et al.. (2020). An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysis.. Psychological Methods. 26(3). 273–294. 56 indexed citations
8.
Jin, Min Jin, Yong-Wook Kim, Hyeonjin Jeon, et al.. (2020). Clinical Implication of Altered Inhibitory Response in Patients with Post-traumatic Stress Disorder: Electrophysiological Evidence from a Go/Nogo Task. Brain Topography. 33(2). 208–220. 4 indexed citations
9.
Yun, Je‐Yeon, Min Jin Jin, Sungkean Kim, & Seung‐Hwan Lee. (2020). Stress-related cognitive style is related to volumetric change of the hippocampus and FK506 binding protein 5 polymorphism in post-traumatic stress disorder. Psychological Medicine. 52(7). 1243–1254. 17 indexed citations
10.
Kim, Yong-Wook, Sungkean Kim, Miseon Shim, et al.. (2020). Riemannian classifier enhances the accuracy of machine-learning-based diagnosis of PTSD using resting EEG. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 102. 109960–109960. 22 indexed citations
11.
Kim, Sungkean, Yong-Wook Kim, Miseon Shim, et al.. (2020). Altered Cortical Functional Networks in Patients With Schizophrenia and Bipolar Disorder: A Resting-State Electroencephalographic Study. Frontiers in Psychiatry. 11. 661–661. 23 indexed citations
12.
Liu, Min, et al.. (2019). Antimicrobial Activity and Mechanism of Action of Dracocephalum moldavica L. Extracts Against Clinical Isolates of Staphylococcus aureus. Frontiers in Microbiology. 10. 1249–1249. 21 indexed citations
13.
Jin, Min Jin, Hyeonjin Jeon, Myoung‐Ho Hyun, & Seung‐Hwan Lee. (2019). Influence of childhood trauma and brain-derived neurotrophic factor Val66Met polymorphism on posttraumatic stress symptoms and cortical thickness. Scientific Reports. 9(1). 6028–6028. 26 indexed citations
14.
Kim, Jeong-Youn, et al.. (2019). Self-Awareness of Psychopathology and Brain Volume in Patients With First Episode Psychosis. Frontiers in Psychiatry. 10. 839–839. 4 indexed citations
15.
Kim, Sungkean, et al.. (2019). Neurophysiological and Psychological Predictors of Social Functioning in Patients with Schizophrenia and Bipolar Disorder. Psychiatry Investigation. 16(10). 718–727. 17 indexed citations
16.
Jin, Min Jin, Ji Sun Kim, Sungkean Kim, Myoung‐Ho Hyun, & Seung‐Hwan Lee. (2018). An Integrated Model of Emotional Problems, Beta Power of Electroencephalography, and Low Frequency of Heart Rate Variability after Childhood Trauma in a Non-Clinical Sample: A Path Analysis Study. Frontiers in Psychiatry. 8. 314–314. 23 indexed citations
17.
Jin, Min Jin, Wookyoung Jung, Myoung‐Ho Hyun, & Seung‐Hwan Lee. (2018). Effect of behavioral inhibition system and childhood emotional neglect on serotonergic activity, negative affect, and rejection sensitivity in non-clinical adults. PLoS ONE. 13(11). e0207746–e0207746. 9 indexed citations
18.
Jin, Min Jin, et al.. (2017). Rumination as a Mediator between Childhood Trauma and Adulthood Depression/Anxiety in Non-clinical Participants. Frontiers in Psychology. 8. 1597–1597. 68 indexed citations
19.
Lee, Seung‐Hwan, et al.. (2017). Childhood Trauma Associated with Enhanced High Frequency Band Powers and Induced Subjective Inattention of Adults. Frontiers in Behavioral Neuroscience. 11. 148–148. 15 indexed citations
20.
Yang, Jiyuan, Min Jin Jin, Shengqi Wang, et al.. (2015). Glycyrrhetinic Acid Protects the Heart from Ischemia/Reperfusion Injury by Attenuating the Susceptibility and Incidence of Fatal Ventricular Arrhythmia During the Reperfusion Period in the Rat Hearts. Cellular Physiology and Biochemistry. 36(2). 741–752. 26 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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