Chin-Song Lu

2.1k total citations
38 papers, 1.4k citations indexed

About

Chin-Song Lu is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Chin-Song Lu has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 14 papers in Cellular and Molecular Neuroscience and 10 papers in Molecular Biology. Recurrent topics in Chin-Song Lu's work include Parkinson's Disease Mechanisms and Treatments (19 papers), Neurological diseases and metabolism (9 papers) and Neurological disorders and treatments (5 papers). Chin-Song Lu is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (19 papers), Neurological diseases and metabolism (9 papers) and Neurological disorders and treatments (5 papers). Chin-Song Lu collaborates with scholars based in Taiwan, United States and Netherlands. Chin-Song Lu's co-authors include Yi‐Hsin Weng, Tu‐Hsueh Yeh, N.-S. Chu, D. B. Calne, Rou-Shayn Chen, Hung‐Li Wang, Yah‐Huei Wu‐Chou, Hsiu‐Chen Chang, Szu‐Chia Lai and Chin‐Chang Huang and has published in prestigious journals such as PLoS ONE, Neurology and Annals of Neurology.

In The Last Decade

Chin-Song Lu

38 papers receiving 1.4k citations

Peers

Chin-Song Lu
Jeffrey M. Stajich United States
Eng‐King Tan Singapore
John M. Bertoni United States
Rubén Orihuela United States
A. A. F. Sima United States
Chin-Song Lu
Citations per year, relative to Chin-Song Lu Chin-Song Lu (= 1×) peers Chin‐Song Lu

Countries citing papers authored by Chin-Song Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Song Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin-Song Lu. 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 Chin-Song Lu. The network helps show where Chin-Song Lu may publish in the future.

Co-authorship network of co-authors of Chin-Song Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Chin-Song Lu. A scholar is included among the top collaborators of Chin-Song Lu 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 Chin-Song Lu. Chin-Song Lu 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.
Lin, Yen‐Po, I.‐I. Lin, Hsiu‐Chen Chang, et al.. (2024). Optimizing rehabilitation strategies in Parkinson’s disease: a comparison of dual cognitive-walking treadmill training and single treadmill training. Scientific Reports. 14(1). 25210–25210. 3 indexed citations
2.
Hsiao, Ing‐Tsung, Yu‐Tzu Chang, Yi-Hsin Weng, et al.. (2021). Comparisons of vesicular monoamine transporter type 2 signals in Parkinson's disease and parkinsonism secondary to carbon monoxide poisoning. NeuroToxicology. 88. 178–186. 2 indexed citations
3.
Wang, Hung‐Li, Ying‐Zu Huang, Yi‐Hsin Weng, et al.. (2020). Alda-1, an activator of ALDH2, ameliorates Achilles tendinopathy in cellular and mouse models. Biochemical Pharmacology. 175. 113919–113919. 23 indexed citations
4.
Chiu, Ching‐Chi, Rou-Shayn Chen, Hua-Chien Chen, et al.. (2019). Upregulated Expression of MicroRNA-204-5p Leads to the Death of Dopaminergic Cells by Targeting DYRK1A-Mediated Apoptotic Signaling Cascade. Frontiers in Cellular Neuroscience. 13. 399–399. 42 indexed citations
5.
Chiu, Ching‐Chi, Hung‐Li Wang, Yi‐Hsin Weng, et al.. (2019). Generation of induced pluripotent stem cells from a young-onset Parkinson's disease patient carrying the compound heterozygous PLA2G6 p.D331Y/p.M358IfsX mutations. Stem Cell Research. 40. 101552–101552. 3 indexed citations
7.
Yeh, Tu‐Hsueh, Tzu-Hsuan Chen, Yen‐Liang Liu, et al.. (2017). A novel missense mutation of the GTP cyclohydrolase 1 gene in a Taiwanese family with dopa-responsive dystonia: A case report. Clinical Neurology and Neurosurgery. 165. 21–23. 1 indexed citations
8.
Weng, Yi‐Hsin, Chuyu Chen, Ying‐Ling Chen, et al.. (2015). (R1441C) LRRK2 induces the degeneration of SN dopaminergic neurons and alters the expression of genes regulating neuronal survival in a transgenic mouse model. Experimental Neurology. 275. 104–115. 26 indexed citations
9.
Chen, Chuyu, Ying‐Ling Chen, Yi‐Hsin Weng, et al.. (2014). (G2019S) LRRK2 causes early-phase dysfunction of SNpc dopaminergic neurons and impairment of corticostriatal long-term depression in the PD transgenic mouse. Neurobiology of Disease. 68. 190–199. 48 indexed citations
10.
Chiu, Ching‐Chi, Tu‐Hsueh Yeh, Szu‐Chia Lai, et al.. (2014). Neuroprotective effects of aldehyde dehydrogenase 2 activation in rotenone-induced cellular and animal models of parkinsonism. Experimental Neurology. 263. 244–253. 69 indexed citations
11.
Lee, Chih‐Hong, et al.. (2013). Phenotypes and Genotypes of Patients with Pantothenate Kinase‐Associated Neurodegeneration in Asian and Caucasian Populations: 2 Cases and Literature Review. The Scientific World JOURNAL. 2013(1). 860539–860539. 21 indexed citations
12.
Yeh, Tu‐Hsueh, Juei-Jueng Lin, Szu‐Chia Lai, et al.. (2012). Familial paroxysmal nonkinesigenic dyskinesia: Clinical and genetic analysis of a Taiwanese family. Journal of the Neurological Sciences. 323(1-2). 80–84. 18 indexed citations
13.
Wu‐Chou, Yah‐Huei, Ying‐Ting Chen, Tu‐Hsueh Yeh, et al.. (2012). Genetic variants of SNCA and LRRK2 genes are associated with sporadic PD susceptibility: A replication study in a Taiwanese cohort. Parkinsonism & Related Disorders. 19(2). 251–255. 34 indexed citations
14.
Wang, Hung‐Li, et al.. (2011). PARK6 PINK1 mutants are defective in maintaining mitochondrial membrane potential and inhibiting ROS formation of substantia nigra dopaminergic neurons. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1812(6). 674–684. 103 indexed citations
15.
Tan, Eng‐King, Chin-Song Lu, Rong Peng, et al.. (2009). Analysis of the UCHL1 genetic variant in Parkinson's disease among Chinese. Neurobiology of Aging. 31(12). 2194–2196. 14 indexed citations
16.
Lu, Chin-Song, Yah‐Huei Wu‐Chou, Marina van Doeselaar, et al.. (2008). The LRRK2 Arg1628Pro variant is a risk factor for Parkinson’s disease in the Chinese population. Neurogenetics. 9(4). 271–276. 50 indexed citations
17.
Fonzo, Alessio Di, Yah‐Huei Wu‐Chou, Chin-Song Lu, et al.. (2006). A common missense variant in the LRRK2 gene, Gly2385Arg, associated with Parkinson’s disease risk in Taiwan. Neurogenetics. 7(3). 133–138. 180 indexed citations
18.
Huang, Chin‐Chang, et al.. (2006). The natural history of neurological manganism over 18 years. Parkinsonism & Related Disorders. 13(3). 143–145. 33 indexed citations
19.
Chen, Chi-Jen, et al.. (1999). Serial magnetic resonance imaging in patients with Bal�'s concentric sclerosis: Natural history of lesion development. Annals of Neurology. 46(4). 651–656. 48 indexed citations
20.
Chen, Chi-Jen, et al.. (1996). Case Report. Serial MRI Studies in Pathologically Verified Balò's Concentric Sclerosis. Journal of Computer Assisted Tomography. 20(5). 732–735. 15 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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