Won Tae Yoon

713 total citations
35 papers, 404 citations indexed

About

Won Tae Yoon is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Won Tae Yoon has authored 35 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Won Tae Yoon's work include Parkinson's Disease Mechanisms and Treatments (12 papers), Neurological disorders and treatments (10 papers) and Genetic Neurodegenerative Diseases (7 papers). Won Tae Yoon is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (12 papers), Neurological disorders and treatments (10 papers) and Genetic Neurodegenerative Diseases (7 papers). Won Tae Yoon collaborates with scholars based in South Korea, United States and Ethiopia. Won Tae Yoon's co-authors include Poong‐Lyul Rhee, Hee Young Shin, Won Yong Lee, Eun Joo Chung, Heui‐Soo Moon, Pil‐Wook Chung, Yong Bum Kim, Kwang‐Yeol Park, Jinyoung Youn and Jin Whan Cho and has published in prestigious journals such as Scientific Reports, Journal of Neurology Neurosurgery & Psychiatry and Movement Disorders.

In The Last Decade

Won Tae Yoon

31 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won Tae Yoon South Korea 11 242 68 65 51 50 35 404
A Voll Canada 7 195 0.8× 52 0.8× 68 1.0× 27 0.5× 28 0.6× 11 392
Keizo Yasui Japan 10 104 0.4× 64 0.9× 110 1.7× 104 2.0× 108 2.2× 30 403
Mazen Abu‐Mugheisib Germany 8 299 1.2× 39 0.6× 88 1.4× 34 0.7× 25 0.5× 11 421
E. B. Ringelstein Germany 10 175 0.7× 115 1.7× 46 0.7× 29 0.6× 24 0.5× 30 473
Bappaditya Ray United States 13 130 0.5× 86 1.3× 20 0.3× 43 0.8× 55 1.1× 34 322
Johann Pelz Germany 13 140 0.6× 75 1.1× 35 0.5× 78 1.5× 33 0.7× 45 437
Stephan Kolbaske Germany 6 164 0.7× 78 1.1× 46 0.7× 18 0.4× 36 0.7× 6 309
Kaan Balkır Türkiye 7 175 0.7× 99 1.5× 45 0.7× 29 0.6× 8 0.2× 8 391
Ghazala Hayat United States 11 199 0.8× 128 1.9× 52 0.8× 52 1.0× 83 1.7× 34 510
Katsuhiko Ogawa Japan 11 143 0.6× 58 0.9× 35 0.5× 35 0.7× 11 0.2× 44 309

Countries citing papers authored by Won Tae Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Won Tae Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won Tae Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Won Tae Yoon. A scholar is included among the top collaborators of Won Tae Yoon 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 Won Tae Yoon. Won Tae Yoon 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.
Woo, Sung‐Ho, et al.. (2024). Development of a cerebellar ataxia diagnosis model using conditional GAN-based synthetic data generation for visuomotor adaptation task. BMC Medical Informatics and Decision Making. 24(1). 336–336.
2.
Shin, Chaewon, Yun Su Hwang, Eungseok Oh, et al.. (2023). Caregiver Burden of Patients With Huntington’s Disease in South Korea. Journal of Movement Disorders. 17(1). 30–37. 2 indexed citations
3.
Moon, Sehwan, Young-Suk Lee, Chul Gu Kim, et al.. (2023). Prediction of anti-vascular endothelial growth factor agent-specific treatment outcomes in neovascular age-related macular degeneration using a generative adversarial network. Scientific Reports. 13(1). 5639–5639. 26 indexed citations
4.
Lee, Kyung‐Hoon, et al.. (2020). Late Diagnosis of Wilson Disease, Initially Presenting as Cerebellar Atrophy Mimicking Spinocerebellar Ataxia, by Multigene Panel Testing. Annals of Laboratory Medicine. 40(6). 500–503. 1 indexed citations
5.
Choi, Ji-Hyun, Jee‐Young Lee, Beomseok Jeon, et al.. (2019). Neuropsychiatric Traits Associated with Refractory Impulse Control Disorder in Parkinson’s Disease. Neurodegenerative Diseases. 19(5-6). 171–177. 3 indexed citations
6.
7.
Lee, Jee‐Young, Beomseok Jeon, Seong‐Beom Koh, et al.. (2018). Behavioural and trait changes in parkinsonian patients with impulse control disorder after switching from dopamine agonist to levodopa therapy: results of REIN-PD trial. Journal of Neurology Neurosurgery & Psychiatry. 90(1). 30–37. 12 indexed citations
8.
9.
Suh, Bum Chun, et al.. (2015). Posterior reversible encephalopathy syndrome as an initial neurological manifestation of primary Sjögren’s syndrome. Clinical Autonomic Research. 25(4). 259–262. 5 indexed citations
10.
Park, Yong-Shik, Pil‐Wook Chung, Yong Bum Kim, et al.. (2013). Small Deep Infarction in Patients with Atrial Fibrillation: Evidence of Lacunar Pathogenesis. Cerebrovascular Diseases. 36(3). 205–210. 12 indexed citations
11.
Park, Kwang‐Yeol, et al.. (2012). Increased Pulsatility Index Is Associated with Intracranial Arterial Calcification. European Neurology. 69(2). 83–88. 27 indexed citations
12.
Lee, Sung-Hyun, Yong Bum Kim, Pil‐Wook Chung, et al.. (2012). IL-1β Induction and IL-6 Suppression Are Associated with Aggravated Neuronal Damage in a Lipopolysaccharide-Pretreated Kainic Acid-Induced Rat Pup Seizure Model. NeuroImmunoModulation. 19(5). 319–325. 8 indexed citations
13.
Shin, Hee‐Young, Jinyoung Youn, Won Tae Yoon, Ji Sun Kim, & Jin Whan Cho. (2012). Restless legs syndrome in Korean patients with drug-naïve Parkinson's disease: A nation-wide study. Parkinsonism & Related Disorders. 19(3). 355–358. 29 indexed citations
14.
15.
Yoon, Won Tae, Jinyoung Youn, & Jin Whan Cho. (2012). Is cerebral white matter involvement helpful in the diagnosis of dentatorubral-pallidoluysian atrophy?. Journal of Neurology. 259(8). 1694–1697. 7 indexed citations
16.
Suh, Bum Chun, Pil‐Wook Chung, Heui‐Soo Moon, et al.. (2010). Association between Pulse Wave Velocity and Nerve Conduction Study in Diabetic Patients. European Neurology. 64(4). 219–223. 8 indexed citations
17.
Shin, Hee‐Young, Won Tae Yoon, & Won Yong Lee. (2009). Anticholinergic Agents Can Induce Oromandibular Dyskinesia. Journal of Movement Disorders. 2(2). 69–71. 2 indexed citations
18.
Yoon, Won Tae, et al.. (2009). Painless Legs and Moving Toes as an Initial Presentation of Ischemic Stroke. Journal of Movement Disorders. 2(1). 40–42. 3 indexed citations
19.
Chung, Eun Joo, et al.. (2009). MIBG scintigraphy for differentiating Parkinson's disease with autonomic dysfunction from Parkinsonism‐predominant multiple system atrophy. Movement Disorders. 24(11). 1650–1655. 48 indexed citations
20.
Yoon, Won Tae, et al.. (2008). Helicobacter pylori infection and motor fluctuations in patients with Parkinson's disease. Movement Disorders. 23(12). 1696–1700. 89 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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