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 22
- Parkinson's Disease Mechanisms and Treatments 17
- Neurological disorders and treatments 16
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- Functional Brain Connectivity Studies 11
- Neural and Behavioral Psychology Studies 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)Qi Pan (1 shared paper)Pengfei Wu (2 shared papers)Chunhua Xi (2 shared papers)
- Journals
- Neurological Sciences (3 papers)World Neurosurgery (1 paper)Behavioural Brain Research (1 paper)Nature Communications (1 paper)Clinical Interventions in Aging (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Chaoshi Niu
59 papers receiving 653 citations
Peers
Comparison fields: 5 of 95
- Neurology 144
- Cancer Research 129
- Genetics 77
- Neurology 54
- Cognitive Neuroscience 122
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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | 2014 | 45 | |
| 3 | 2018 | 39 | |
| 4 | 2022 | 36 | |
| 5 | 2009 | 34 | |
| 6 | 2022 | 30 | |
| 7 | 2010 | 30 | |
| 8 | 2020 | 25 | |
| 9 | 2021 | 25 | |
| 10 | 2016 | 22 | |
| 11 | 2024 | 21 | |
| 12 | 2008 | 21 | |
| 13 | 2019 | 18 | |
| 14 | 2010 | 18 | |
| 15 | 2021 | 16 | |
| 16 | 2014 | 15 | |
| 17 | 2014 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2017 | 13 | |
| 20 | 2021 | 11 |
About Chaoshi Niu
Chaoshi Niu is a scholar working on Neurology, Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 62 papers that have together received 659 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (17 papers), Neurological disorders and treatments (16 papers), Functional Brain Connectivity Studies (11 papers), Nerve injury and regeneration (6 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers), Advanced MRI Techniques and Applications (4 papers) and Neural and Behavioral Psychology Studies (3 papers). The work is most often cited by research in Neurology (144 citations), Cancer Research (129 citations), Genetics (77 citations), Neurology (54 citations) and Cognitive Neuroscience (122 citations). Chaoshi Niu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Wanxiang Niu, Shanshan Hu, Bowen Chang, Xianming Fu, Ruobing Qian, Qi Pan, Pengfei Wu, Chunhua Xi, Kai Wang and Yuping Wang. Their work appears in journals such as Neurological Sciences, World Neurosurgery, Behavioural Brain Research, Nature Communications and Clinical Interventions in Aging.
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.