Joon‐Ho Shin

2.0k total citations · 1 hit paper
70 papers, 1.2k citations indexed

About

Joon‐Ho Shin is a scholar working on Rehabilitation, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Joon‐Ho Shin has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Rehabilitation, 19 papers in Cognitive Neuroscience and 19 papers in Psychiatry and Mental health. Recurrent topics in Joon‐Ho Shin's work include Stroke Rehabilitation and Recovery (42 papers), Muscle activation and electromyography studies (15 papers) and Botulinum Toxin and Related Neurological Disorders (14 papers). Joon‐Ho Shin is often cited by papers focused on Stroke Rehabilitation and Recovery (42 papers), Muscle activation and electromyography studies (15 papers) and Botulinum Toxin and Related Neurological Disorders (14 papers). Joon‐Ho Shin collaborates with scholars based in South Korea, United States and France. Joon‐Ho Shin's co-authors include Ji-Yeong Lee, Hokyoung Ryu, Seong‐Ho Jang, Su Young Kim, Ha Yeon Kim, Younggeun Choi, Mi‐Young Kim, Beomjoo Seo, Si-Bog Park and Nam‐Jong Paik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Joon‐Ho Shin

61 papers receiving 1.2k citations

Hit Papers

Dementia Epidemiology Fact Sheet 2022 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon‐Ho Shin South Korea 16 727 278 244 220 205 70 1.2k
Augusto Fusco Italy 27 527 0.7× 396 1.4× 187 0.8× 360 1.6× 124 0.6× 78 1.7k
Carolina Colomer Spain 15 796 1.1× 389 1.4× 258 1.1× 150 0.7× 243 1.2× 35 1.2k
Wen-Hsu Sung Taiwan 18 639 0.9× 406 1.5× 170 0.7× 171 0.8× 90 0.4× 47 1.2k
Ki Hun Cho South Korea 21 798 1.1× 485 1.7× 186 0.8× 170 0.8× 153 0.7× 65 1.2k
Lamberto Piron Italy 14 841 1.2× 306 1.1× 255 1.0× 335 1.5× 151 0.7× 25 1.4k
Sheryl Flynn United States 14 633 0.9× 496 1.8× 199 0.8× 108 0.5× 82 0.4× 37 1.3k
Jill Campbell Stewart United States 21 562 0.8× 216 0.8× 143 0.6× 121 0.6× 116 0.6× 58 956
Kelly J. Bower Australia 20 777 1.1× 594 2.1× 185 0.8× 433 2.0× 175 0.9× 42 2.0k
Harold Weingarden Israel 17 706 1.0× 313 1.1× 162 0.7× 400 1.8× 133 0.6× 34 1.2k
Carmen Krewer Germany 21 735 1.0× 349 1.3× 305 1.3× 389 1.8× 177 0.9× 53 1.4k

Countries citing papers authored by Joon‐Ho Shin

Since Specialization
Citations

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

Fields of papers citing papers by Joon‐Ho Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon‐Ho Shin. 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 Joon‐Ho Shin. The network helps show where Joon‐Ho Shin may publish in the future.

Co-authorship network of co-authors of Joon‐Ho Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Joon‐Ho Shin. A scholar is included among the top collaborators of Joon‐Ho Shin 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 Joon‐Ho Shin. Joon‐Ho Shin 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.
Yon, Dong Keon, et al.. (2025). The Burden of Motor Neuron Diseases in the United States, 1990–2021: A Systematic Analysis of the Global Burden of Disease Study 2021. Muscle & Nerve. 72(5). 1130–1142. 1 indexed citations
2.
Choi, Younggeun, et al.. (2024). Effectiveness of mixed reality-based rehabilitation on hands and fingers by individual finger-movement tracking in patients with stroke. Journal of NeuroEngineering and Rehabilitation. 21(1). 140–140. 2 indexed citations
3.
Shin, Joon‐Ho, et al.. (2024). Ultrasonography for Assessment and Intervention With Botulinum Toxin Injection for Tremors. Annals of Rehabilitation Medicine. 48(6). 396–404.
4.
Jeong, Eunju, et al.. (2024). Virtual reality–based music attention training for acquired brain injury: A randomized crossover study. Annals of the New York Academy of Sciences. 1541(1). 151–162. 7 indexed citations
5.
Cha, Seungwoo, Dae-Sung Park, Sungju Jee, et al.. (2024). Attitude Toward Virtual Rehabilitation and Active Video Games Among Therapists in Korea: A Nationwide Survey. Brain & Neurorehabilitation. 17(1). e4–e4. 1 indexed citations
7.
Cha, Seungwoo, Dae-Sung Park, Sungju Jee, et al.. (2023). Attitude Toward Telerehabilitation Among Physical and Occupational Therapists in Korea: A Brief Descriptive Report. Brain & Neurorehabilitation. 16(1). e8–e8. 2 indexed citations
8.
Shin, Joon‐Ho, et al.. (2023). Relevance of Upper Limb Muscle Synergies to Dynamic Force Generation: Perspectives on Rehabilitation of Impaired Intermuscular Coordination in Stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4851–4861. 4 indexed citations
9.
Jeon, Sun Young, Myung Ki, & Joon‐Ho Shin. (2023). Resistive versus active assisted robotic training for the upper limb after a stroke: A randomized controlled study. Annals of Physical and Rehabilitation Medicine. 67(1). 101789–101789. 3 indexed citations
10.
Choi, Younggeun, et al.. (2022). The feasibility of mixed reality-based upper extremity self-training for patients with stroke—A pilot study. Frontiers in Neurology. 13. 994586–994586. 8 indexed citations
11.
Hwang, Sung Hwan, et al.. (2021). The Korean Version of the Fugl-Meyer Assessment: Reliability and Validity Evaluation. Annals of Rehabilitation Medicine. 45(2). 83–98. 24 indexed citations
12.
Moon, Hyun Im, et al.. (2021). Post-stroke palatal tremor as a clinical predictor of dysphagia and its neuroanatomical correlates in patients with midbrain and pontine lesions. Journal of Neural Transmission. 128(12). 1863–1872. 3 indexed citations
13.
Kim, Kwanguk, et al.. (2021). FOPR test: a virtual reality-based technique to assess field of perception and field of regard in hemispatial neglect. Journal of NeuroEngineering and Rehabilitation. 18(1). 39–39. 16 indexed citations
14.
Shin, Joon‐Ho, et al.. (2021). Predicting Clinically Significant Improvement After Robot-Assisted Upper Limb Rehabilitation in Subacute and Chronic Stroke. Frontiers in Neurology. 12. 668923–668923. 14 indexed citations
16.
Park, Jeong-Ho, Joon‐Ho Shin, Hangil Lee, et al.. (2019). Design and Evaluation of a Novel Experimental Setup for Upper Limb Intermuscular Coordination Studies. Frontiers in Neurorobotics. 13. 72–72. 9 indexed citations
17.
Kim, Ha Yeon, et al.. (2019). Robot-assisted gait training for balance and lower extremity function in patients with infratentorial stroke: a single-blinded randomized controlled trial. Journal of NeuroEngineering and Rehabilitation. 16(1). 99–99. 51 indexed citations
18.
Shin, Joon‐Ho, Mi‐Young Kim, Ji-Yeong Lee, et al.. (2016). Effects of virtual reality-based rehabilitation on distal upper extremity function and health-related quality of life: a single-blinded, randomized controlled trial. Journal of NeuroEngineering and Rehabilitation. 13(1). 17–17. 147 indexed citations
19.
Shin, Joon‐Ho, et al.. (2006). Analysis of Korean Internet Sites for 'Degenerative Osteoarthritis'. Annals of Rehabilitation Medicine. 30(3). 271–281. 2 indexed citations
20.
Shin, Joon‐Ho, et al.. (2006). Postural Sway and Limb Load Asymmetry in the Rural Inhabitants in Korea. Annals of Rehabilitation Medicine. 30(5). 502–507.

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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