Young‐Min Park

1.7k total citations
102 papers, 1.3k citations indexed

About

Young‐Min Park is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Young‐Min Park has authored 102 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Psychiatry and Mental health, 20 papers in Cognitive Neuroscience and 18 papers in Pharmacology. Recurrent topics in Young‐Min Park's work include Treatment of Major Depression (17 papers), Bipolar Disorder and Treatment (14 papers) and Mental Health Research Topics (10 papers). Young‐Min Park is often cited by papers focused on Treatment of Major Depression (17 papers), Bipolar Disorder and Treatment (14 papers) and Mental Health Research Topics (10 papers). Young‐Min Park collaborates with scholars based in South Korea, United States and Nigeria. Young‐Min Park's co-authors include Seung‐Hwan Lee, Bun-Hee Lee, Sung‐Man Bae, Victoria J. Vieira‐Potter, Sollip Kim, Do‐Hyung Kim, Heon‐Jeong Lee, Eun Jin Park, Jill A. Kanaley and John R. Kelsoe and has published in prestigious journals such as PLoS ONE, American Journal of Psychiatry and Chemical Communications.

In The Last Decade

Young‐Min Park

95 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Min Park South Korea 21 309 302 196 170 159 102 1.3k
Bernhard J. Connemann Germany 21 320 1.0× 444 1.5× 107 0.5× 100 0.6× 204 1.3× 116 1.4k
Maria Gilles Germany 24 163 0.5× 193 0.6× 235 1.2× 104 0.6× 177 1.1× 75 1.4k
Chadi A. Calarge United States 24 254 0.8× 633 2.1× 268 1.4× 72 0.4× 219 1.4× 72 1.6k
Erin E. Sundermann United States 25 245 0.8× 479 1.6× 370 1.9× 79 0.5× 67 0.4× 99 1.8k
Jacob S. Ballon United States 16 266 0.9× 753 2.5× 228 1.2× 70 0.4× 224 1.4× 39 1.6k
Patrick Hardy France 21 191 0.6× 326 1.1× 141 0.7× 102 0.6× 410 2.6× 47 1.4k
Claudia Pisanu Italy 23 135 0.4× 444 1.5× 229 1.2× 160 0.9× 108 0.7× 82 1.5k
Miguel E. Rentería Australia 19 195 0.6× 199 0.7× 143 0.7× 79 0.5× 158 1.0× 88 1.1k
Alisson Paulino Trevizol Brazil 19 386 1.2× 306 1.0× 120 0.6× 62 0.4× 252 1.6× 60 1.2k
Samer Melhem United States 5 481 1.6× 405 1.3× 126 0.6× 78 0.5× 216 1.4× 6 1.4k

Countries citing papers authored by Young‐Min Park

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Min Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Min Park

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Min Park. A scholar is included among the top collaborators of Young‐Min Park 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 Young‐Min Park. Young‐Min Park 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.
2.
Lee, Hye-Jin, Young‐Min Park, & Miseon Shim. (2023). Differences in Functional Connectivity between Patients with Depression with and without Nonsuicidal Self-injury. Clinical Psychopharmacology and Neuroscience. 22(3). 451–457. 2 indexed citations
3.
Park, Young‐Min, et al.. (2023). Non-suicidal Self-injury and Quantified Electroencephalogram in Adolescents and Young Adults with Depression. Clinical Psychopharmacology and Neuroscience. 22(1). 151–158. 4 indexed citations
4.
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
5.
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
6.
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
7.
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.
8.
9.
Park, Young‐Min, Bun-Hee Lee, & Seung‐Hwan Lee. (2014). The association between serum lipid levels, suicide ideation, and central serotonergic activity in patients with major depressive disorder. Journal of Affective Disorders. 159. 62–65. 54 indexed citations
10.
Park, Young‐Min, Bun-Hee Lee, Tae Hyun Um, & Sollip Kim. (2014). Serum BDNF Levels in Relation to Illness Severity, Suicide Attempts, and Central Serotonin Activity in Patients with Major Depressive Disorder: A Pilot Study. PLoS ONE. 9(3). e91061–e91061. 29 indexed citations
11.
Park, Young‐Min, Won Kim, Jong‐Hyun Jeong, et al.. (2014). The Korean medication algorithm for depressive disorder: Second revision. Journal of Affective Disorders. 167. 312–321. 18 indexed citations
12.
Kang, Seung‐Gul, Tae‐Young Choi, Ho‐Kyoung Yoon, et al.. (2011). Association Study between Per3 Gene Polymorphism and Diurnal Preference. 18(1). 35–39. 1 indexed citations
13.
Zourdos, Michael C., Jacob M. Wilson, Sang-Rok Lee, et al.. (2011). Effects of Dynamic Stretching on Energy Cost and Running Endurance Performance in Trained Male Runners. The Journal of Strength and Conditioning Research. 26(2). 335–341. 24 indexed citations
14.
Lee, Ji‐Hyun, Chul Jong Park, Young‐Min Park, et al.. (2008). Pyoderma Gangrenosum: A Clinical Study. Linchuang pifuke zazhi. 46(8). 1028–1035.
15.
Park, Young‐Min, Sam‐Wook Choi, Eun‐Ho Kang, Joo Eon Park, & Jeong‐Ho Chae. (2008). Effect of Gratitude and Application of Gratitude Technique. Korean Journal of Stress Research. 16(2). 115–122. 1 indexed citations
16.
Lee, Seung Hwan, et al.. (2008). Aberrant Response of Selective Serotonin Reuptake Inhibitor in Two Patients with High N100 Amplitude Slope. 19(6). 341–347. 5 indexed citations
17.
Lee, Moon‐Soo, Young‐Min Park, Hong Euy Lim, et al.. (2007). Preliminary Study on the Standardization of Korean Version of Type D Personality Scale 14：Internal Consistency and Construct Validity. 15(2). 81–87. 3 indexed citations
18.
Kim, Mi‐Yeon, et al.. (2005). A Case of Delayed Type Skin Reaction Induced by Bee Venom Acupuncture. Linchuang pifuke zazhi. 43(9). 1237–1240. 3 indexed citations
19.
Kim, Mi-Young, et al.. (2004). A Case of Paronychia, Acneiform Eruption and Dry Skin Induced by Iressa$^{(R)}$. Linchuang pifuke zazhi. 42(5). 665–668. 1 indexed citations
20.
Park, Young‐Min, et al.. (2000). Sleep Patterns of Middle and High School Students in Seoul. 7(1). 51–59. 2 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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