Seung Ku Lee

2.9k total citations
121 papers, 2.1k citations indexed

About

Seung Ku Lee is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Seung Ku Lee has authored 121 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Physiology, 23 papers in Cardiology and Cardiovascular Medicine and 23 papers in Cognitive Neuroscience. Recurrent topics in Seung Ku Lee's work include Obstructive Sleep Apnea Research (28 papers), Sleep and Wakefulness Research (20 papers) and Sleep and related disorders (17 papers). Seung Ku Lee is often cited by papers focused on Obstructive Sleep Apnea Research (28 papers), Sleep and Wakefulness Research (20 papers) and Sleep and related disorders (17 papers). Seung Ku Lee collaborates with scholars based in South Korea, United States and Japan. Seung Ku Lee's co-authors include Chol Shin, Hyun Kim, Chang‐Ho Yun, Robert J. Thomas, Dae Wui Yoon, Sooyeon Suh, Hyung Suk Seo, Eo Rin Cho, Seong Hwan Kim and Jinkwan Kim and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Seung Ku Lee

116 papers receiving 2.0k 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 Ku Lee South Korea 25 788 417 397 350 310 121 2.1k
Maurice Demattéis France 25 1.0k 1.3× 719 1.7× 155 0.4× 347 1.0× 191 0.6× 62 2.0k
Georgia Trakada Greece 22 773 1.0× 542 1.3× 343 0.9× 248 0.7× 196 0.6× 111 1.9k
Alex Gileles‐Hillel Israel 24 923 1.2× 545 1.3× 365 0.9× 219 0.6× 127 0.4× 74 1.9k
Won‐Joo Kim South Korea 27 307 0.4× 229 0.5× 450 1.1× 295 0.8× 102 0.3× 108 2.1k
Pablo R. Castillo United States 20 318 0.4× 156 0.4× 346 0.9× 603 1.7× 183 0.6× 77 2.2k
Ji Hee Yu South Korea 24 507 0.6× 351 0.8× 286 0.7× 90 0.3× 168 0.5× 87 1.9k
Domenico Tafuri Italy 27 270 0.3× 270 0.6× 195 0.5× 316 0.9× 298 1.0× 134 2.3k
Fahed Hakim Israel 18 784 1.0× 516 1.2× 291 0.7× 377 1.1× 73 0.2× 40 1.5k
Hikmet Fırat Türkiye 22 904 1.1× 482 1.2× 373 0.9× 309 0.9× 139 0.4× 98 1.5k

Countries citing papers authored by Seung Ku Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seung Ku Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seung Ku Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Seung Ku Lee. A scholar is included among the top collaborators of Seung Ku 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 Seung Ku Lee. Seung Ku 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
1.
Jung, Inha, So Young Park, Da Young Lee, et al.. (2025). Association of metabolic dysfunction‐associated fatty liver disease with white matter hyperintensity and cognitive decline: A longitudinal cohort study. Diabetes Obesity and Metabolism. 27(4). 2271–2279. 2 indexed citations
2.
Lee, Min‐Hee, Woo‐Jin Lee, Seung Ku Lee, et al.. (2025). Impact of Sleep Apnea on Perivascular Diffusivity and Cognition: A 4-Year Prospective Cohort Study. American Journal of Respiratory and Critical Care Medicine. 211(12). 2382–2392.
3.
Park, Hyo Jin, Min‐Hee Lee, Woo‐Jin Lee, et al.. (2024). 1006 Effect of Obstructive Sleep Apnea on the Longitudinal Change in the Glymphatic System Function. SLEEP. 47(Supplement_1). A432–A432. 1 indexed citations
4.
Lee, Da Young, Inha Jung, So Young Park, et al.. (2023). Sleep Duration and the Risk of Type 2 Diabetes: A Community-Based Cohort Study with a 16-Year Follow-up. Endocrinology and Metabolism. 38(1). 146–155. 11 indexed citations
5.
Oh, Kyoung Ho, Hyunsan Cho, Seung Ku Lee, Chol Shin, & June Choi. (2023). Characteristics of Hearing Loss Among Older Adults in the Korean Genome and Epidemiology Study: A Community-Based Longitudinal Cohort Study With an 8-Year Follow-up. Clinical and Experimental Otorhinolaryngology. 16(2). 132–140. 5 indexed citations
6.
Park, Jae‐Hyeong, Goo‐Yeong Cho, Ki‐Chul Sung, et al.. (2023). Increased Blood Pressure Variability Over a 16-Year Period Is Associated With Left Ventricular Diastolic Dysfunction in a Population-Based Cohort. American Journal of Hypertension. 37(3). 168–178. 2 indexed citations
7.
8.
Li, Donghe, Woo Jin Kim, Soriul Kim, et al.. (2022). Heritability Analyses Uncover Shared Genetic Effects of Lung Function and Change over Time. Genes. 13(7). 1261–1261. 1 indexed citations
9.
Kim, Seong Hwan, Jumi Lee, Seung Ku Lee, Chol Shin, & Jae‐Hyeong Park. (2022). Blood Pressure Trajectories for 16 Years and the Development of Left Ventricular Hypertrophy and Increased Left Atrial Size: The Korean Genome and Epidemiology Study. International Journal of Hypertension. 2022. 1–10. 2 indexed citations
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Kim, Jinkwan, Dae Wui Yoon, Ja-Yun Lim, et al.. (2018). The co-existence of elevated high sensitivity C-reactive protein and homocysteine levels is associated with increased risk of metabolic syndrome: A 6-year follow-up study. PLoS ONE. 13(10). e0206157–e0206157. 12 indexed citations
13.
Lee, Seung Ku, Dae Wui Yoon, Si Woo Lee, et al.. (2016). Association of Sasang Constitutional Types with Incident Hypertension: A 12-Year Follow-Up Study. The Journal of Alternative and Complementary Medicine. 22(9). 706–712. 6 indexed citations
14.
Kim, Han‐Na, Mi Kyeong Lee, Sarah Yang, et al.. (2015). GWA meta-analysis of personality in Korean cohorts. Journal of Human Genetics. 60(8). 455–460. 11 indexed citations
15.
Lee, Seung Ku, Dae Wui Yoon, Hyeryeon Yi, et al.. (2014). So-Eum Type as an Independent Risk Factor for Irritable Bowel Syndrome: A Population-Based Study in Korea. The Journal of Alternative and Complementary Medicine. 20(11). 846–852. 13 indexed citations
16.
Lee, Seung Ku, Dae Wui Yoon, Hyeryeon Yi, et al.. (2013). Tae-Eum Type as an Independent Risk Factor for Obstructive Sleep Apnea. Evidence-based Complementary and Alternative Medicine. 2013. 1–7. 17 indexed citations
17.
Kang, HyunJun, Su‐Yeon Kim, Seung Ku Lee, et al.. (2013). Association of the <b><i>FGA</i></b> and <b><i>SLC6A4</i></b> Genes with Autistic Spectrum Disorder in a Korean Population. Neuropsychobiology. 68(4). 212–220. 5 indexed citations
18.
Jang, Moon Ju, Young Joo Jeon, Jong Woo Kim, et al.. (2012). Association of VEGF and KDR single nucleotide polymorphisms with colorectal cancer susceptibility in Koreans. Molecular Carcinogenesis. 52(S1). 60–69. 35 indexed citations
19.
Ryu, Jiyoon, Hyunsoo Kim, Hyunsoo Kim, et al.. (2005). Proteomic identification of the TRAF6 regulation of vacuolar ATPase for osteoclast function. PROTEOMICS. 5(16). 4152–4160. 11 indexed citations
20.
Lee, Seung Ku, Hao Huang, Soo Woong Lee, et al.. (2004). Involvement of iNOS-dependent NO production in the stimulation of osteoclast survival by TNF-α. Experimental Cell Research. 298(2). 359–368. 38 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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