Kai Zhao
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Muscle Physiology and Disorders 4
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- Neurotransmitter Receptor Influence on Behavior 3
- Co-authors
- Lin Mei (19 shared papers)Wen‐Cheng Xiong (19 shared papers)Jin‐Xiu Pan (8 shared papers)Lei Xiong (7 shared papers)Hongsheng Wang (9 shared papers)Zhaoqi Dong (9 shared papers)Wenbing Chen (9 shared papers)Fu‐Lei Tang (3 shared papers)
- Journals
- Journal of Neuroscience (5 papers)eLife (3 papers)Cell Death and Disease (3 papers)Brain and Behavior (3 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kai Zhao
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 135
- Developmental Neuroscience 95
- Neurology 165
- Biological Psychiatry 42
- Cell Biology 245
- Cellular and Molecular Neuroscience 224
Countries citing papers authored by Kai Zhao
This map shows the geographic impact of Kai Zhao'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 Kai Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Zhao more than expected).
Fields of papers citing papers by Kai Zhao
This network shows the impact of papers produced by Kai Zhao. 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 Kai Zhao. The network helps show where Kai Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Zhao, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 229 | |
| 2 | 2012 | 93 | |
| 3 | 2019 | 83 | |
| 4 | 2016 | 77 | |
| 5 | 2009 | 69 | |
| 6 | 2024 | 68 | |
| 7 | 2022 | 68 | |
| 8 | 2017 | 65 | |
| 9 | 2013 | 59 | |
| 10 | 2018 | 50 | |
| 11 | 2020 | 46 | |
| 12 | 2018 | 44 | |
| 13 | 2018 | 42 | |
| 14 | 2019 | 42 | |
| 15 | 2018 | 41 | |
| 16 | 2008 | 41 | |
| 17 | 2018 | 40 | |
| 18 | 2014 | 39 | |
| 19 | 2018 | 34 | |
| 20 | 2024 | 31 |
About Kai Zhao
Kai Zhao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Cell Biology and Neurology, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Muscle Physiology and Disorders (4 papers), Alzheimer's disease research and treatments (4 papers), Nanoplatforms for cancer theranostics (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Tryptophan and brain disorders (3 papers) and Spinal Cord Injury Research (3 papers). The work is most often cited by research in Developmental Neuroscience (95 citations), Neurology (165 citations), Biological Psychiatry (42 citations), Cell Biology (245 citations) and Cellular and Molecular Neuroscience (224 citations). Kai Zhao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lin Mei, Wen‐Cheng Xiong, Jin‐Xiu Pan, Lei Xiong, Hongsheng Wang, Zhaoqi Dong, Wenbing Chen, Fu‐Lei Tang, Shun Cui and Wanpeng Cui. Their work appears in journals such as Journal of Neuroscience, eLife, Cell Death and Disease, Brain and Behavior and Biochemical and Biophysical Research Communications.
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.