Shin-Yuan Chen

1.6k total citations
73 papers, 1.1k citations indexed

About

Shin-Yuan Chen is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Shin-Yuan Chen has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Neurology, 24 papers in Cellular and Molecular Neuroscience and 16 papers in Neurology. Recurrent topics in Shin-Yuan Chen's work include Neurological disorders and treatments (43 papers), Parkinson's Disease Mechanisms and Treatments (36 papers) and Neuroscience and Neural Engineering (15 papers). Shin-Yuan Chen is often cited by papers focused on Neurological disorders and treatments (43 papers), Parkinson's Disease Mechanisms and Treatments (36 papers) and Neuroscience and Neural Engineering (15 papers). Shin-Yuan Chen collaborates with scholars based in Taiwan, United States and Russia. Shin-Yuan Chen's co-authors include Sheng‐Tzung Tsai, Shinn‐Zong Lin, Sheng-Huang Lin, Yu‐Cheng Chou, Cheng‐Yoong Pang, Pao‐Sheng Yen, Chi-Wei Lee, Tsung‐Ying Chen, Wanhua Annie Hsieh and Tomor Harnod and has published in prestigious journals such as Scientific Reports, Journal of neurosurgery and Expert Systems with Applications.

In The Last Decade

Shin-Yuan Chen

69 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shin-Yuan Chen Taiwan 20 678 279 178 172 128 73 1.1k
Jin Whan Cho South Korea 24 1.2k 1.7× 445 1.6× 65 0.4× 280 1.6× 77 0.6× 127 1.7k
Austen Peter Moore United Kingdom 18 668 1.0× 254 0.9× 156 0.9× 91 0.5× 166 1.3× 33 1.0k
Geoffrey Sheean United States 14 558 0.8× 193 0.7× 126 0.7× 147 0.9× 143 1.1× 31 941
Marco Cenzato Italy 18 518 0.8× 111 0.4× 181 1.0× 46 0.3× 57 0.4× 67 1.2k
Andrew W. Grande United States 20 418 0.6× 273 1.0× 240 1.3× 284 1.7× 130 1.0× 89 1.6k
Till‐Karsten Hauser Germany 20 515 0.8× 310 1.1× 84 0.5× 197 1.1× 72 0.6× 95 1.5k
Daniel Weiß Germany 21 816 1.2× 350 1.3× 48 0.3× 217 1.3× 32 0.3× 74 1.2k
Shervin Rahimpour United States 18 191 0.3× 177 0.6× 234 1.3× 82 0.5× 139 1.1× 49 990
J. Marsden United Kingdom 14 469 0.7× 405 1.5× 135 0.8× 195 1.1× 47 0.4× 30 1.3k
Jos P. H. Reulen Netherlands 19 339 0.5× 254 0.9× 57 0.3× 92 0.5× 49 0.4× 28 1.1k

Countries citing papers authored by Shin-Yuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shin-Yuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin-Yuan Chen. 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 Shin-Yuan Chen. The network helps show where Shin-Yuan Chen may publish in the future.

Co-authorship network of co-authors of Shin-Yuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shin-Yuan Chen. A scholar is included among the top collaborators of Shin-Yuan Chen 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 Shin-Yuan Chen. Shin-Yuan Chen 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.
Chen, Shin-Yuan, et al.. (2024). Tripod-Fix device for the treatment of painful osteoporotic vertebral compression fractures. Scientific Reports. 14(1). 23877–23877.
2.
Chen, Shin-Yuan, et al.. (2020). Desflurane and sevoflurane differentially affect activity of the subthalamic nucleus in Parkinson's disease. British Journal of Anaesthesia. 126(2). 477–485. 8 indexed citations
3.
Tsai, Sheng‐Tzung, et al.. (2018). Quality of life in patients with Parkinson's disease after subthalamic stimulation: An observational cohort study for outcome prediction. Tzu Chi Medical Journal. 31(2). 107–107. 9 indexed citations
5.
Lin, Sheng-Huang, Yu‐Chun Lo, Hsin‐Yi Lai, et al.. (2015). Quantitative measurement of Parkinsonian gait from walking in monocular image sequences using a centroid tracking algorithm. Medical & Biological Engineering & Computing. 54(2-3). 485–496. 7 indexed citations
6.
Chen, Shin-Yuan, et al.. (2013). Different effectiveness of subthalamic deep brain stimulation in Parkinson's disease: A comparative cohort study at 1 year and 5 years. Journal of the Formosan Medical Association. 114(9). 835–841. 15 indexed citations
7.
Tsai, Sheng‐Tzung, et al.. (2013). The impact of motor and depressive symptoms on quality of life in patients with Parkinson's disease. Tzu Chi Medical Journal. 25(3). 175–178. 3 indexed citations
8.
Tsai, Sheng‐Tzung, et al.. (2013). Long-term outcome of young onset Parkinson's disease after subthalamic stimulation—A cross-sectional study. Clinical Neurology and Neurosurgery. 115(10). 2082–2087. 13 indexed citations
9.
Tsai, Sheng‐Tzung, et al.. (2012). Long-term comparison of subthalamic nucleus stimulation between patients with young-onset and late-onset Parkinson’s disease. Tzu Chi Medical Journal. 24(2). 65–72. 4 indexed citations
10.
Yang, Kuo‐Liang, et al.. (2012). Human adipose-derived stem cells for the treatment of intracerebral hemorrhage in rats via femoral intravenous injection. Cellular & Molecular Biology Letters. 17(3). 376–92. 33 indexed citations
11.
Tsai, Sheng‐Tzung, et al.. (2012). N-of-1 trial following deep brain stimulation in a patient with obsessive–compulsive disorder. Tzu Chi Medical Journal. 24(4). 205–208. 2 indexed citations
12.
Yang, Hsueh‐Hui, et al.. (2011). The C-terminus of PARK2 is required for its self-interaction, solubility and role in the spindle assembly checkpoint. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1822(4). 573–580. 11 indexed citations
13.
Chen, Shin-Yuan, Cheryl C.H. Yang, Terry B. J. Kuo, & Tomor Harnod. (2011). Association of heart rate variability with clinical outcome in Parkinsonian patients after subthalamic deep brain stimulation: A retrospective cohort study. Journal of the Formosan Medical Association. 110(9). 593–599. 6 indexed citations
15.
Chen, Shin-Yuan, Sheng-Huang Lin, Pao‐Sheng Yen, et al.. (2006). Microelectrode recording can be a good adjunct in magnetic resonance image–directed subthalamic nucleus deep brain stimulation for parkinsonism. Surgical Neurology. 65(3). 253–260. 40 indexed citations
16.
Lin, Shinn‐Zong, et al.. (2006). The efficacy of quantitative gait analysis by the GAITRite system in evaluation of parkinsonian bradykinesia. Parkinsonism & Related Disorders. 12(7). 438–442. 69 indexed citations
17.
Chen, Shin-Yuan, et al.. (2005). Subthalamic nucleus deep brain stimulation for Parkinson's disease - An update review. Tzu Chi Medical Journal. 17(4). 3 indexed citations
18.
Harnod, Tomor, et al.. (2005). Acute effects of bilateral subthalamic stimulation implantation on heart rate variability of patients with Parkinson's disease. Tzu Chi Medical Journal. 17(1). 21–26. 1 indexed citations
19.
Shyu, Woei‐Cherng, Shinn‐Zong Lin, Ming‐Fu Chiang, et al.. (2005). Early-onset Parkinson's disease in a Chinese population: 99mTc-TRODAT-1 SPECT, Parkin gene analysis and clinical study. Parkinsonism & Related Disorders. 11(3). 173–180. 35 indexed citations
20.
Chen, Shin-Yuan, et al.. (2004). Application of Intraoperative Ultrasound for Brain Surgery. Tzu Chi Medical Journal. 16(2). 85–92. 3 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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