Ming‐Che Kuo

454 total citations
17 papers, 292 citations indexed

About

Ming‐Che Kuo is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming‐Che Kuo has authored 17 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 4 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming‐Che Kuo's work include Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (5 papers) and RNA regulation and disease (2 papers). Ming‐Che Kuo is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (5 papers) and RNA regulation and disease (2 papers). Ming‐Che Kuo collaborates with scholars based in Taiwan, United States and Japan. Ming‐Che Kuo's co-authors include Ruey‐Meei Wu, Ya-Fang Hsu, Sung-En Chien, Jyh‐Myng Zen, Annamalai Senthil Kumar, Wen‐Yih Isaac Tseng, Yufeng Jane Tseng, Chang‐Le Chen, Yung‐Chin Hsu and Yi‐Chen Hsieh and has published in prestigious journals such as Neurology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ming‐Che Kuo

15 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Che Kuo Taiwan 8 119 86 63 43 40 17 292
Min Kyu Shin South Korea 8 136 1.1× 64 0.7× 47 0.7× 14 0.3× 11 0.3× 25 388
Rundong Jiang China 11 199 1.7× 45 0.5× 42 0.7× 6 0.1× 18 0.5× 20 414
Sourav K. Ghosh United Kingdom 8 230 1.9× 27 0.3× 15 0.2× 16 0.4× 131 3.3× 14 430
Hanna Trzeciakiewicz United States 10 186 1.6× 44 0.5× 26 0.4× 4 0.1× 3 0.1× 12 313
Ilmari Parkkinen Finland 9 157 1.3× 32 0.4× 64 1.0× 2 0.0× 67 1.7× 11 352
Sanja Ramljak Germany 14 229 1.9× 28 0.3× 25 0.4× 6 0.1× 11 0.3× 30 440
Xiaohan Liang China 12 148 1.2× 25 0.3× 8 0.1× 5 0.1× 7 0.2× 16 309
Daniel Torrente United States 11 119 1.0× 14 0.2× 56 0.9× 2 0.0× 17 0.4× 19 318
Manxia Wang China 12 157 1.3× 11 0.1× 55 0.9× 2 0.0× 31 0.8× 53 453
A. de Hemptinne Belgium 15 284 2.4× 41 0.5× 12 0.2× 32 0.7× 8 0.2× 25 514

Countries citing papers authored by Ming‐Che Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Che Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Che Kuo. 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 Ming‐Che Kuo. The network helps show where Ming‐Che Kuo may publish in the future.

Co-authorship network of co-authors of Ming‐Che Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Che Kuo. A scholar is included among the top collaborators of Ming‐Che Kuo 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 Ming‐Che Kuo. Ming‐Che Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Chen, Chang‐Le, Leila Montaser‐Kouhsari, Wenchao Wu, et al.. (2024). Advanced brain aging in Parkinson’s disease with cognitive impairment. npj Parkinson s Disease. 10(1). 62–62. 6 indexed citations
3.
Wu, Ruey‐Meei, et al.. (2024). FastEval Parkinsonism: an instant deep learning–assisted video-based online system for Parkinsonian motor symptom evaluation. npj Digital Medicine. 7(1). 31–31. 7 indexed citations
4.
5.
Li, Cheng‐Hsuan, Ming‐Chieh Shih, Yi-Hsin Weng, et al.. (2024). Subcortical tau burden correlates with regional brain atrophy and plasma markers in four-repeat tauopathy parkinsonism. Journal of Parkinson s Disease. 15(1). 214–226.
6.
Kuo, Ming‐Che, et al.. (2024). Prosaposin variants in sporadic, familial, and early-onset Parkinson's disease: a Taiwanese case–control study and meta-analysis. Scientific Reports. 14(1). 2225–2225. 5 indexed citations
7.
Kuo, Ming‐Che, et al.. (2023). Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning-PathoOpenGait. IEEE Journal of Biomedical and Health Informatics. 28(2). 1066–1077. 4 indexed citations
8.
Kuo, Ming‐Che, et al.. (2023). Characterization of markers, functional properties, and microbiome composition in human gut-derived bacterial extracellular vesicles. Gut Microbes. 15(2). 2288200–2288200. 16 indexed citations
9.
Chen, Chang‐Le, Ming‐Che Kuo, Pin‐Yu Chen, et al.. (2022). Validation of neuroimaging-based brain age gap as a mediator between modifiable risk factors and cognition. Neurobiology of Aging. 114. 61–72. 16 indexed citations
10.
Chen, Chang‐Le, Ming‐Che Kuo, Wen‐Chau Wu, et al.. (2022). Advanced brain aging in multiple system atrophy compared to Parkinson’s disease. NeuroImage Clinical. 34. 102997–102997. 13 indexed citations
11.
Kuo, Ming‐Che, Chun‐Hwei Tai, Bing‐Wen Soong, et al.. (2022). COQ2 and SNCA polymorphisms interact with environmental factors to modulate the risk of multiple system atrophy and subtype disposition. European Journal of Neurology. 29(10). 2956–2966. 3 indexed citations
12.
Kuo, Ming‐Che, Chun‐Hwei Tai, Sheng‐Hong Tseng, & Ruey‐Meei Wu. (2022). Long‐term efficacy of bilateral subthalamic deep brain stimulation in the parkinsonism of SCA 3: A rare case report. European Journal of Neurology. 29(8). 2544–2547. 9 indexed citations
13.
Chang, Chia‐Yuan, et al.. (2021). Not Just a Bystander: The Emerging Role of Astrocytes and Research Tools in Studying Cognitive Dysfunctions in Schizophrenia. International Journal of Molecular Sciences. 22(10). 5343–5343. 19 indexed citations
14.
Kuo, Ming‐Che, et al.. (2021). The role of noncoding RNAs in Parkinson’s disease: biomarkers and associations with pathogenic pathways. Journal of Biomedical Science. 28(1). 78–78. 74 indexed citations
15.
Gu, Xiaojing, Yongping Chen, Qingqing Zhou, et al.. (2018). Analysis of GWAS-linked variants in multiple system atrophy. Neurobiology of Aging. 67. 201.e1–201.e4. 13 indexed citations
16.
Monte‐Silva, Kátia, Ming‐Che Kuo, Walter Paulus, & Michael A. Nitsche. (2008). Repeated tDCS for prolonging the after-effects of stimulation. Brain stimulation. 1(3). 282–282. 1 indexed citations
17.
Kumar, Annamalai Senthil, et al.. (2005). An enzymeless electrochemical sensor for the selective determination of creatinine in human urine. Sensors and Actuators B Chemical. 115(1). 473–480. 105 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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2026