Ming‐Che Kuo
Impact in
- Bioengineering top 10%
- Analytical Chemistry and Sensors
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 8
- Neurological disorders and treatments 5
- Neuroinflammation and Neurodegeneration Mechanisms 2
-
- RNA regulation and disease 2
- Co-authors
- Ruey‐Meei Wu (11 shared papers)Ya-Fang Hsu (1 shared paper)Jyh‐Myng Zen (1 shared paper)Annamalai Senthil Kumar (1 shared paper)Sung-En Chien (1 shared paper)Yufeng Jane Tseng (5 shared papers)Chang‐Le Chen (3 shared papers)Wen‐Yih Isaac Tseng (3 shared papers)
- Journals
- Neurology (2 papers)European Journal of Neurology (2 papers)Neurobiology of Aging (2 papers)Gut Microbes (1 paper)Journal of Biomedical Science (1 paper)
- Partner nations
- TaiwanUnited StatesSingapore
In The Last Decade
Ming‐Che Kuo
17 papers receiving 305 citations
Peers
Comparison fields: 5 of 78
- Bioengineering 43
- Biological Psychiatry 14
- Electrochemistry 37
- Neurology 60
- Neurology 20
Countries citing papers authored by Ming‐Che Kuo
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
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-authors
The 25 scholars most cited alongside Ming‐Che Kuo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 107 | |
| 2 | 2021 | 76 | |
| 3 | 2023 | 22 | |
| 4 | 2021 | 19 | |
| 5 | 2022 | 17 | |
| 6 | 2018 | 13 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2008 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 |
About Ming‐Che Kuo
Ming‐Che Kuo is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 18 papers that have together received 307 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (5 papers), Alzheimer's disease research and treatments (2 papers), Genetic Neurodegenerative Diseases (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Dementia and Cognitive Impairment Research (2 papers), Functional Brain Connectivity Studies (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Bioengineering (43 citations), Biological Psychiatry (14 citations), Electrochemistry (37 citations), Neurology (60 citations) and Neurology (20 citations). Ming‐Che Kuo has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Ruey‐Meei Wu, Ya-Fang Hsu, Jyh‐Myng Zen, Annamalai Senthil Kumar, Sung-En Chien, Yufeng Jane Tseng, Chang‐Le Chen, Wen‐Yih Isaac Tseng, Yung‐Chin Hsu and Andrew M. Wo. Their work appears in journals such as Neurology, European Journal of Neurology, Neurobiology of Aging, Gut Microbes and Journal of Biomedical Science.
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.