Dong Won Yang

2.3k total citations · 1 hit paper
105 papers, 1.6k citations indexed

About

Dong Won Yang is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Dong Won Yang has authored 105 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Psychiatry and Mental health, 27 papers in Physiology and 22 papers in Cognitive Neuroscience. Recurrent topics in Dong Won Yang's work include Dementia and Cognitive Impairment Research (59 papers), Alzheimer's disease research and treatments (25 papers) and Neurological Disease Mechanisms and Treatments (20 papers). Dong Won Yang is often cited by papers focused on Dementia and Cognitive Impairment Research (59 papers), Alzheimer's disease research and treatments (25 papers) and Neurological Disease Mechanisms and Treatments (20 papers). Dong Won Yang collaborates with scholars based in South Korea, United States and United Kingdom. Dong Won Yang's co-authors include Yong S. Shim, SangYun Kim, Bora Yoon, Yun Jeong Hong, Hui Jin Ryu, Kook Jin Ahn, A-Hyun Cho, Seong Hye Choi, Young‐Min Shon and Seong Yoon Kim and has published in prestigious journals such as NeuroImage, Scientific Reports and Epilepsia.

In The Last Decade

Dong Won Yang

95 papers receiving 1.5k citations

Hit Papers

The Seoul Neuropsychological Screening Battery (SNSB) for... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Won Yang South Korea 23 845 408 382 288 247 105 1.6k
Jennifer M. Oh United States 26 728 0.9× 407 1.0× 783 2.0× 437 1.5× 245 1.0× 59 2.1k
Ying-Qi Xu China 14 667 0.8× 411 1.0× 448 1.2× 204 0.7× 163 0.7× 39 1.5k
Gwénaëlle Catheline France 28 670 0.8× 578 1.4× 702 1.8× 483 1.7× 461 1.9× 84 2.4k
Catherine L. Gallagher United States 26 610 0.7× 406 1.0× 623 1.6× 415 1.4× 212 0.9× 74 1.9k
Jennie Wells Canada 25 1.1k 1.4× 319 0.8× 562 1.5× 271 0.9× 183 0.7× 45 2.5k
Yong S. Shim South Korea 21 675 0.8× 255 0.6× 354 0.9× 245 0.9× 257 1.0× 63 1.1k
Katherine A. Gifford United States 23 634 0.8× 289 0.7× 331 0.9× 216 0.8× 208 0.8× 87 1.4k
Sana Suri United Kingdom 22 437 0.5× 536 1.3× 284 0.7× 457 1.6× 171 0.7× 58 1.6k
Dahyun Yi South Korea 24 708 0.8× 300 0.7× 790 2.1× 149 0.5× 301 1.2× 137 1.9k
Wei‐Ta Chen Taiwan 31 1.3k 1.6× 742 1.8× 537 1.4× 246 0.9× 389 1.6× 112 2.6k

Countries citing papers authored by Dong Won Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dong Won Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Won Yang. 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 Dong Won Yang. The network helps show where Dong Won Yang may publish in the future.

Co-authorship network of co-authors of Dong Won Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Won Yang. A scholar is included among the top collaborators of Dong Won Yang 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 Dong Won Yang. Dong Won Yang 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.
Jeong, Jee Hyang, et al.. (2026). Hand Grip Strength Predicts Cognitive Decline in Subjective Cognitive Decline: 2-Year Follow-Up Results. Journal of Korean Medical Science. 41(3). e36–e36.
2.
Kang, Sung Hoon, Jee Hyang Jeong, Jung‐Min Pyun, et al.. (2025). Eligibility for Lecanemab Treatment in the Republic of Korea: Real-World Data From Memory Clinics. Journal of Clinical Neurology. 21(3). 182–182. 3 indexed citations
3.
Chae, Hyojin, et al.. (2025). Diagnostic Performance of Eight Blood-based Biomarkers in a Well-characterized Korean Cohort of Preclinical Alzheimer’s Disease. Annals of Laboratory Medicine. 45(4). 428–436. 1 indexed citations
4.
Kwon, Hyuk Sung, Geon Ha Kim, Sun Ah Park, et al.. (2025). Standardized Procedures for Blood and Cerebrospinal Fluid Collection and Storage in Neurodegenerative Biomarker Research: A Comprehensive Review. Dementia and Neurocognitive Disorders. 24(3). 162–162.
5.
Ryu, Dong-Woo, et al.. (2024). Assessing the Impact of Defacing Algorithms on Brain Volumetry Accuracy in MRI Analyses. Dementia and Neurocognitive Disorders. 23(3). 127–127.
7.
Hong, Yun Jeong, Jee Hyang Jeong, Hee Kyung Park, et al.. (2023). Clinical Significance of Physical Frailty in Subjects With Subjective Cognitive Decline: A Prospective Study With Amyloid PET Data. Journal of Clinical Neurology. 19(5). 447–447. 5 indexed citations
8.
Jung, Na‐Yeon, Kee Hyung Park, Sang Won Seo, et al.. (2022). Survival in Korean Patients with Frontotemporal Dementia Syndrome: Association with Behavioral Features and Parkinsonism. Journal of Clinical Medicine. 11(8). 2260–2260. 1 indexed citations
9.
10.
Ryoo, Nayoung, Jung‐Min Pyun, Min Jae Baek, et al.. (2020). Coping with Dementia in the Middle of the COVID-19 Pandemic. Journal of Korean Medical Science. 35(42). e383–e383. 32 indexed citations
11.
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
12.
13.
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
14.
Yang, Dong Won, et al.. (2018). Safety and Efficacy of Anti-dementia Agents in the Extremely Elderly Patients with Dementia. Journal of Korean Medical Science. 33(19). e133–e133. 6 indexed citations
15.
Kim, Ahro, Dong Won Yang, Jung Hee Cho, et al.. (2017). [P3–360]: DEVELOPMENT OF A PROGRAM FOR QUICK BRAIN VOLUMETRY. Alzheimer s & Dementia. 13(7S_Part_22). 1 indexed citations
16.
Choi, Seong Hye, et al.. (2015). Reduced Gray Matter Volume in Subjective Cognitive Decline: A Voxel-Based Morphometric Study. Dementia and Neurocognitive Disorders. 14(4). 143–143. 6 indexed citations
17.
Yang, Dong Won, et al.. (2011). An improved classification method of concealed obstacles using UWB radar and stereo cameras. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 1–4. 3 indexed citations
18.
Yang, Dong Won. (2007). A DLRF(Diode Laser Range Finder) Using the Cumulative Binary Detection Algorithm. Journal of the Korea Institute of Military Science and Technology. 10(4). 152–159. 1 indexed citations
19.
Yang, Dong Won, et al.. (2002). Standardization of Korean version of 7-Minute Screen Test. Journal of the Korean Neurological Association. 20(3). 252–259. 2 indexed citations
20.
Yang, Dong Won, et al.. (2002). A Validation Study of a Korean Version of the 7-minute Screen Test. Korean Journal of Family Medicine. 23(6). 728–739. 4 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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