Seung Wan Suh

1.3k total citations
31 papers, 346 citations indexed

About

Seung Wan Suh is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Seung Wan Suh has authored 31 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Psychiatry and Mental health and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Seung Wan Suh's work include Dementia and Cognitive Impairment Research (7 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Sleep and related disorders (4 papers). Seung Wan Suh is often cited by papers focused on Dementia and Cognitive Impairment Research (7 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Sleep and related disorders (4 papers). Seung Wan Suh collaborates with scholars based in South Korea, Puerto Rico and United States. Seung Wan Suh's co-authors include Ki Woong Kim, Ji Won Han, Jong Bin Bae, Seonjeong Byun, Ji Hyun Han, Jae Hyoung Kim, Dae Jong Oh, Tae Hui Kim, Ju Ri Lee and Hye Sung Kim and has published in prestigious journals such as NeuroImage, Scientific Reports and Psychological Medicine.

In The Last Decade

Seung Wan Suh

30 papers receiving 342 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 Wan Suh South Korea 12 77 62 55 33 33 31 346
Javier Solana Sánchez Spain 10 83 1.1× 75 1.2× 30 0.5× 14 0.4× 35 1.1× 33 242
Daria Laptinskaya Germany 9 102 1.3× 69 1.1× 76 1.4× 20 0.6× 22 0.7× 9 371
Franklin Rivera Bueno United States 9 122 1.6× 59 1.0× 62 1.1× 18 0.5× 24 0.7× 13 545
Ryan J. Dougherty United States 13 131 1.7× 50 0.8× 149 2.7× 46 1.4× 22 0.7× 39 469
Robert Haußmann Germany 10 152 2.0× 43 0.7× 44 0.8× 29 0.9× 19 0.6× 50 361
Minhee Suh South Korea 11 68 0.9× 38 0.6× 70 1.3× 22 0.7× 27 0.8× 34 384
Kyle Moored United States 10 68 0.9× 84 1.4× 41 0.7× 26 0.8× 11 0.3× 30 301
Solaphat Hemrungrojn Thailand 8 240 3.1× 90 1.5× 69 1.3× 24 0.7× 41 1.2× 27 485
Nidhi Saigal Australia 4 244 3.2× 83 1.3× 127 2.3× 49 1.5× 37 1.1× 4 450
Ying-Yi Liao Taiwan 8 236 3.1× 89 1.4× 56 1.0× 23 0.7× 59 1.8× 20 550

Countries citing papers authored by Seung Wan Suh

Since Specialization
Citations

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

Fields of papers citing papers by Seung Wan Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung Wan Suh. 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 Wan Suh. The network helps show where Seung Wan Suh may publish in the future.

Co-authorship network of co-authors of Seung Wan Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Seung Wan Suh. A scholar is included among the top collaborators of Seung Wan Suh 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 Wan Suh. Seung Wan Suh 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.
Han, Ji Won, Seung Wan Suh, Dae Jong Oh, et al.. (2025). A sleep-based risk model for predicting dementia: Development and validation in a Korean cohort. Journal of Alzheimer s Disease. 106(1). 280–292.
2.
Kim, Jun Sung, Ji Won Han, Dae Jong Oh, et al.. (2024). Effects of sleep quality on diurnal variation of brain volume in older adults: A retrospective cross-sectional study. NeuroImage. 288. 120533–120533. 2 indexed citations
3.
4.
Kim, Jun Sung, Jong Bin Bae, Ji Won Han, et al.. (2023). Association of estimated white matter hyperintensity age with cognition in elderly with controlled hypertension. NeuroImage Clinical. 37. 103323–103323. 3 indexed citations
5.
Kim, Kiwon, Hong Jin Jeon, Woojae Myung, et al.. (2022). Clinical Approaches to Late-Onset Psychosis. Journal of Personalized Medicine. 12(3). 381–381. 6 indexed citations
6.
Choi, Eun‐A, Ji Won Han, Seung Wan Suh, et al.. (2022). Altered resting state brain metabolic connectivity in dementia with Lewy bodies. Frontiers in Neurology. 13. 847935–847935. 5 indexed citations
7.
Suh, Seung Wan, Kayoung Kim, Kayoung Kim, et al.. (2021). Screening major depressive disorder using vocal acoustic features in the elderly by sex. Journal of Affective Disorders. 291. 15–23. 15 indexed citations
8.
Han, Ji Won, Hyunna Lee, Subin Lee, et al.. (2021). Association of the Irregular 3-Dimensional Shape of White Matter Hyperintensities with Cognitive Function. European Neurology. 84(4). 280–287. 3 indexed citations
9.
Han, Ji Won, Jong Bin Bae, Seung Wan Suh, et al.. (2021). Disease Burdens of Alzheimer's Disease, Vascular Dementia, and Mild Cognitive Impairment. Journal of the American Medical Directors Association. 22(10). 2093–2099.e3. 22 indexed citations
10.
Suh, Seung Wan, et al.. (2021). Optimal flickering light stimulation for entraining gamma waves in the human brain. Scientific Reports. 11(1). 16206–16206. 38 indexed citations
11.
Oh, Dae Jong, Hee Won Yang, Seung Wan Suh, et al.. (2021). The impact of the COVID-19 pandemic on depression in community-dwelling older adults: a prospective cohort study. Psychological Medicine. 53(7). 2992–2999. 15 indexed citations
12.
Kim, Jun Sung, Subin Lee, Dae Jong Oh, et al.. (2021). Construction and validation of a cerebral white matter hyperintensity probability map of older Koreans. NeuroImage Clinical. 30. 102607–102607. 2 indexed citations
13.
Han, Ji Hyun, Hyo‐Jung Lee, Ji Won Han, et al.. (2020). Loss of Functional Dentition is Associated with Cognitive Impairment. Journal of Alzheimer s Disease. 73(4). 1313–1320. 18 indexed citations
14.
Han, Ji Won, Ju Ri Lee, Seonjeong Byun, et al.. (2020). Association between lifetime coffee consumption and late life cerebral white matter hyperintensities in cognitively normal elderly individuals. Scientific Reports. 10(1). 421–421. 7 indexed citations
15.
Lee, Subin, Eun‐A Choi, Seung Wan Suh, et al.. (2020). Magnetic Resonance Imaging Texture of Medial Pulvinar in Dementia with Lewy Bodies. Dementia and Geriatric Cognitive Disorders. 49(1). 8–15. 8 indexed citations
16.
Kim, Jun Sung, Subin Lee, Seung Wan Suh, et al.. (2020). Association of Low Blood Pressure with White Matter Hyperintensities in Elderly Individuals with Controlled Hypertension. Journal of Stroke. 22(1). 99–107. 18 indexed citations
17.
Suh, Seung Wan, Subin Lee, Jun Sung Kim, et al.. (2020). Smaller pineal gland is associated with rapid eye movement sleep behavior disorder in Alzheimer’s disease. Alzheimer s Research & Therapy. 12(1). 157–157. 10 indexed citations
18.
19.
Byun, Seonjeong, Ji Won Han, Tae Hui Kim, et al.. (2018). Gait Variability Can Predict the Risk of Cognitive Decline in Cognitively Normal Older People. Dementia and Geriatric Cognitive Disorders. 45(5-6). 251–261. 37 indexed citations
20.
Han, Ji Won, Ju Ri Lee, Seonjeong Byun, et al.. (2018). Lifetime coffee consumption, pineal gland volume, and sleep quality in late life. SLEEP. 41(10). 16 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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2026