Jun‐Young Lee

10.8k total citations
294 papers, 7.2k citations indexed

About

Jun‐Young Lee is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Jun‐Young Lee has authored 294 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Psychiatry and Mental health, 68 papers in Physiology and 60 papers in Cognitive Neuroscience. Recurrent topics in Jun‐Young Lee's work include Dementia and Cognitive Impairment Research (101 papers), Alzheimer's disease research and treatments (46 papers) and Functional Brain Connectivity Studies (30 papers). Jun‐Young Lee is often cited by papers focused on Dementia and Cognitive Impairment Research (101 papers), Alzheimer's disease research and treatments (46 papers) and Functional Brain Connectivity Studies (30 papers). Jun‐Young Lee collaborates with scholars based in South Korea, United States and Ethiopia. Jun‐Young Lee's co-authors include Jung‐Seok Choi, Maeng Je Cho, Hee Yeon Jung, Seong‐Jin Cho, Bo Kyung Sohn, Hong Jin Jeon, Dong Woo Lee, Hae Woo Lee, Sung Man Chang and Su Mi Park and has published in prestigious journals such as PLoS ONE, American Journal of Psychiatry and Brain.

In The Last Decade

Jun‐Young Lee

270 papers receiving 6.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun‐Young Lee 2.1k 1.4k 1.4k 1.1k 1.1k 294 7.2k
Gerard van Breukelen 1.9k 0.9× 1.9k 1.4× 1.3k 0.9× 1.2k 1.1× 412 0.4× 177 9.3k
Scott M. Hofer 2.1k 1.0× 1.1k 0.8× 1.4k 1.0× 677 0.6× 459 0.4× 167 7.3k
Jae‐Min Kim 1.8k 0.9× 686 0.5× 2.0k 1.4× 692 0.6× 536 0.5× 446 9.0k
David Mischoulon 2.4k 1.2× 1.0k 0.7× 1.9k 1.4× 1.8k 1.6× 435 0.4× 323 11.6k
Sérgio Machado 1.1k 0.5× 1.6k 1.1× 930 0.7× 864 0.8× 421 0.4× 344 6.4k
Alan J. Gow 1.7k 0.8× 1.3k 0.9× 612 0.4× 965 0.9× 440 0.4× 148 8.0k
Antônio Egídio Nardi 2.2k 1.0× 1.9k 1.3× 3.3k 2.3× 972 0.9× 1.2k 1.1× 666 12.2k
Mark S. Gold 908 0.4× 835 0.6× 1.8k 1.3× 815 0.7× 741 0.7× 243 7.1k
Romola S. Bucks 1.7k 0.8× 2.2k 1.5× 1.1k 0.8× 1.4k 1.3× 289 0.3× 213 7.0k
Ya‐Mei Bai 3.1k 1.5× 1.5k 1.1× 1.9k 1.4× 761 0.7× 293 0.3× 324 8.2k

Countries citing papers authored by Jun‐Young Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun‐Young Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Young Lee. A scholar is included among the top collaborators of Jun‐Young Lee 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 Jun‐Young Lee. Jun‐Young Lee 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
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Byun, Min Soo, Dahyun Yi, Gijung Jung, et al.. (2025). Associations of circulating c-reactive protein levels with central Alzheimer’s disease biomarkers. The Journal of Prevention of Alzheimer s Disease. 13(1). 100368–100368.
3.
Lee, Jun‐Young, et al.. (2025). Exploring the interplay of personality traits, academic burnout, and academic engagement in dental students. BMC Medical Education. 25(1). 593–593.
4.
Lee, Jun‐Young, et al.. (2024). Machine learning-based classification of Parkinson's disease using acoustic features: Insights from multilingual speech tasks. Computers in Biology and Medicine. 182. 109078–109078. 7 indexed citations
5.
Byun, Min Soo, Dahyun Yi, Gijung Jung, et al.. (2024). The Moderating Effect of Serum Vitamin D on the Relationship between Beta-amyloid Deposition and Neurodegeneration. Clinical Psychopharmacology and Neuroscience. 22(4). 646–654. 3 indexed citations
6.
Lee, Jimin, Byung‐Soo Kim, Seong‐Jin Cho, et al.. (2024). Differences in Depressive Symptom Profile by Age Group in Koreans With Major Depressive Disorder: Results From Nationwide General Population Surveys. Psychiatry Investigation. 21(9). 1025–1032.
7.
Lee, Jimin, Byung‐Soo Kim, Jin Pyo Hong, et al.. (2023). Temporal priority of lifetime alcohol use disorders and comorbid psychiatric disorders in adults: Results from a population-based nationwide survey in Korea. Journal of Affective Disorders. 339. 750–755. 1 indexed citations
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Lee, Jun‐Young, et al.. (2022). Presence of Night Pain, Neuropathic Pain, or Depressive Disorder Does Not Adversely Affect Outcomes After Total Knee Arthroplasty: A Prospective Cohort Study. Journal of Korean Medical Science. 37(43). e309–e309. 5 indexed citations
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Han, Ju Hee, Chul Hwan Bang, Jaehun Chun, et al.. (2022). Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study. Journal of Clinical Medicine. 11(12). 3422–3422. 4 indexed citations
12.
Park, Sun‐Won, Jun‐Young Lee, Soowon Park, et al.. (2021). Differences in Brain Morphology between Hydrocephalus Ex Vacuo and Idiopathic Normal Pressure Hydrocephalus. Psychiatry Investigation. 18(7). 628–635. 9 indexed citations
13.
Ko, Kang, Dahyun Yi, Min Soo Byun, et al.. (2021). Cognitive reserve proxies, Alzheimer pathologies, and cognition. Neurobiology of Aging. 110. 88–95. 17 indexed citations
14.
Park, Soowon, et al.. (2021). Efficacy of Smart Speaker–Based Metamemory Training in Older Adults: Case-Control Cohort Study. Journal of Medical Internet Research. 23(2). e20177–e20177. 14 indexed citations
15.
Kwak, Seyul, et al.. (2020). Multivariate neuroanatomical correlates of behavioral and psychological symptoms in dementia and the moderating role of education. NeuroImage Clinical. 28. 102452–102452. 13 indexed citations
16.
Lee, Inki, Hae Ri Na, Ilhan Lim, et al.. (2020). Clinical Usefulness of 18F-FC119S Positron-Emission Tomography as an Auxiliary Diagnostic Method for Dementia: An Open-Label, Single-Dose, Evaluator-Blind Clinical Trial. Journal of Clinical Neurology. 16(1). 131–131. 3 indexed citations
17.
Kim, Ahro, SangYun Kim, Kyung Won Park, et al.. (2020). Reliability and Validity of a Short Form of the Korean Dementia Screening Questionnaire-Cognition. Journal of Clinical Neurology. 16(1). 145–145. 4 indexed citations
18.
Kim, Ahro, SangYun Kim, Kyung Won Park, et al.. (2019). A Comparative Evaluation of the KDSQ-C, AD8, and SMCQ as a Cognitive Screening Test to Be Used in National Medical Check-ups in Korea. Journal of Korean Medical Science. 34(14). e111–e111. 18 indexed citations
19.
Park, Jee Eun, Byung‐Soo Kim, Ki Woong Kim, et al.. (2019). Decline in the Incidence of All-Cause and Alzheimer's Disease Dementia: a 12-Year-Later Rural Cohort Study in Korea. Journal of Korean Medical Science. 34(44). e293–e293. 17 indexed citations
20.
Seong, Su Jeong, Jin Pyo Hong, Bong‐Jin Hahm, et al.. (2015). Steep Decrease of Gender Difference in DSM-IV Alcohol Use Disorder: A Comparison of Two Nation-wide Surveys Conducted 10 Years Apart in Korea. Journal of Korean Medical Science. 30(11). 1675–1675. 3 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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