Kun Nie
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 49
- Neurological disorders and treatments 23
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Botulinum Toxin and Related Neurological Disorders 7
- Neurological Disease Mechanisms and Treatments 7
- Marketing top 2%
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 49
- Neurological disorders and treatments 23
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Botulinum Toxin and Related Neurological Disorders 7
- Neurological Disease Mechanisms and Treatments 7
- Biological Psychiatry top 5%
-
- Advanced Neuroimaging Techniques and Applications 18
-
- Platelet Disorders and Treatments 10
-
- Nuclear Receptors and Signaling 10
- Journals
- Parkinsonism & Related Disorders (8 papers)Blood (7 papers)Frontiers in Neurology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kun Nie
111 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Information Systems and Management 408
- Neurology 870
- Marketing 471
- Neurology 375
- Biological Psychiatry 88
Countries citing papers authored by Kun Nie
This map shows the geographic impact of Kun Nie'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 Kun Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Nie more than expected).
Fields of papers citing papers by Kun Nie
This network shows the impact of papers produced by Kun Nie. 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 Kun Nie. The network helps show where Kun Nie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Nie, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 4 | |
| 9 | 2021 | 10 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 129 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 17 | |
| 14 | 2019 | 18 | |
| 15 | How live streaming influences purchase intentions in social commerce: An IT affordance perspectivebreakdown → | 2019 | 673 |
| 16 | 2018 | 27 | |
| 17 | 2017 | 15 | |
| 18 | 2014 | 157 | |
| 19 | 2011 | 157 | |
| 20 | Building a taxonomy for understanding knowledge management | 2007 | 10 |
About Kun Nie
Kun Nie is a scholar working on Neurology, Neurology and Complementary and alternative medicine, having authored 118 papers that have together received 3.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (49 papers), Neurological disorders and treatments (23 papers), Advanced Neuroimaging Techniques and Applications (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Platelet Disorders and Treatments (10 papers), Nuclear Receptors and Signaling (10 papers), Botulinum Toxin and Related Neurological Disorders (7 papers) and Neurological Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Information Systems and Management (408 citations), Neurology (870 citations) and Marketing (471 citations). Kun Nie has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yuan Sun, Xiang Shao, Yue Guo, Xiaotong Li, Yuhu Zhang, Lijuan Wang, Limin Wang, Yuyuan Gao, Jiehao Zhao and Rong Z. Gan. Their work appears in journals such as Parkinsonism & Related Disorders, Blood, Frontiers in Neurology, Journal of the Neurological Sciences and Neurological Sciences.
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.