Chaoshi Niu
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Neurology 20
- Neurological disorders and treatments 15
- Parkinson's Disease Mechanisms and Treatments 10
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- Circular RNAs in diseases 5
- Extracellular vesicles in disease 3
- Co-authors
- Wanxiang Niu (8 shared papers)Shanshan Hu (5 shared papers)Bowen Chang (14 shared papers)Xianming Fu (11 shared papers)Ruobing Qian (11 shared papers)Pengfei Wu (2 shared papers)Qi Pan (1 shared paper)Kai Wang (2 shared papers)
- Journals
- Neurological Sciences (3 papers)Epilepsy & Behavior (1 paper)Cognitive Affective & Behavioral Neuroscience (1 paper)Molecular Neurobiology (1 paper)Behavioural Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chaoshi Niu
60 papers receiving 698 citations
Peers
Comparison fields: 5 of 90
- Neurology 142
- Cancer Research 117
- Genetics 65
- Cognitive Neuroscience 104
- Neurology 42
Countries citing papers authored by Chaoshi Niu
This map shows the geographic impact of Chaoshi Niu'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 Chaoshi Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoshi Niu more than expected).
Fields of papers citing papers by Chaoshi Niu
This network shows the impact of papers produced by Chaoshi Niu. 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 Chaoshi Niu. The network helps show where Chaoshi Niu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaoshi Niu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 46 | |
| 2 | 2020 | 46 | |
| 3 | 2018 | 41 | |
| 4 | 2022 | 37 | |
| 5 | 2009 | 34 | |
| 6 | 2010 | 31 | |
| 7 | 2022 | 30 | |
| 8 | 2024 | 27 | |
| 9 | 2021 | 26 | |
| 10 | 2020 | 26 | |
| 11 | 2016 | 22 | |
| 12 | 2008 | 21 | |
| 13 | 2021 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2010 | 18 | |
| 16 | 2014 | 15 | |
| 17 | 2017 | 14 | |
| 18 | 2014 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2023 | 12 |
About Chaoshi Niu
Chaoshi Niu is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 61 papers that have together received 704 indexed citations. Recurring topics across this work include Neurological disorders and treatments (15 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Nerve injury and regeneration (6 papers), Functional Brain Connectivity Studies (6 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Neurology (142 citations), Cancer Research (117 citations), Genetics (65 citations), Cognitive Neuroscience (104 citations) and Neurology (42 citations). Chaoshi Niu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wanxiang Niu, Shanshan Hu, Bowen Chang, Xianming Fu, Ruobing Qian, Pengfei Wu, Qi Pan, Kai Wang, Chunhua Xi and Yuping Wang. Their work appears in journals such as Neurological Sciences, Epilepsy & Behavior, Cognitive Affective & Behavioral Neuroscience, Molecular Neurobiology and Behavioural Brain Research.
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.