Ke Wei
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 6
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- Neural dynamics and brain function 5
- Memory and Neural Mechanisms 3
- Functional Brain Connectivity Studies 3
- Co-authors
- Yousheng Shu (8 shared papers)Kevin S. King (10 shared papers)Kaiyan Wang (1 shared paper)Hui Guo (1 shared paper)Cuiping Tian (1 shared paper)Quansheng He (6 shared papers)Tianfu Li (3 shared papers)Thao Tran (5 shared papers)
- Journals
- Frontiers in Cellular Neuroscience (2 papers)American Journal of Neuroradiology (2 papers)Neuroscience Bulletin (2 papers)Journal of Neuroimaging (2 papers)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Ke Wei
18 papers receiving 374 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 181
- Developmental Neuroscience 37
- Cognitive Neuroscience 153
- Statistical and Nonlinear Physics 48
- Psychiatry and Mental health 48
Countries citing papers authored by Ke Wei
This map shows the geographic impact of Ke Wei'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 Ke Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Wei more than expected).
Fields of papers citing papers by Ke Wei
This network shows the impact of papers produced by Ke Wei. 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 Ke Wei. The network helps show where Ke Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Wei, 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 | 2018 | 76 | |
| 2 | 2014 | 65 | |
| 3 | 2016 | 62 | |
| 4 | 2019 | 51 | |
| 5 | 2019 | 45 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 6 | |
| 10 | 2019 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 0 |
About Ke Wei
Ke Wei is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Psychiatry and Mental health, Molecular Biology and Epidemiology, having authored 19 papers that have together received 379 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Memory and Neural Mechanisms (3 papers), Dementia and Cognitive Impairment Research (3 papers), Functional Brain Connectivity Studies (3 papers), Epilepsy research and treatment (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (181 citations), Developmental Neuroscience (37 citations), Cognitive Neuroscience (153 citations), Statistical and Nonlinear Physics (48 citations) and Psychiatry and Mental health (48 citations). Ke Wei has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Yousheng Shu, Kevin S. King, Kaiyan Wang, Hui Guo, Cuiping Tian, Quansheng He, Tianfu Li, Thao Tran, Luping Yin and Bo Wang. Their work appears in journals such as Frontiers in Cellular Neuroscience, American Journal of Neuroradiology, Neuroscience Bulletin, Journal of Neuroimaging and Alzheimer s & Dementia.
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.