Lei Zhao
Impact in
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Ion channel regulation and function 9
- Connexins and lens biology 9
- Physiology 24
- Co-authors
- Yan Qu (19 shared papers)Haixiao Liu (18 shared papers)Liang Yu (12 shared papers)Dayun Feng (11 shared papers)Hao Guo (11 shared papers)Nannan Luan (5 shared papers)Hao Bai (10 shared papers)Xun Wu (8 shared papers)
- Journals
- European Journal of Pharmacology (5 papers)Molecular Neurobiology (3 papers)Diabetes (3 papers)Brain Research (3 papers)Cytokine (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lei Zhao
126 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 130
- Geriatrics and Gerontology 261
- Neurology 403
- Endocrine and Autonomic Systems 260
- Biological Psychiatry 69
- Physiology 556
Countries citing papers authored by Lei Zhao
This map shows the geographic impact of Lei 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 Lei Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Zhao more than expected).
Fields of papers citing papers by Lei Zhao
This network shows the impact of papers produced by Lei 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 Lei Zhao. The network helps show where Lei Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 224 | |
| 2 | 2015 | 196 | |
| 3 | 2020 | 144 | |
| 4 | 2019 | 135 | |
| 5 | 2015 | 100 | |
| 6 | 2014 | 92 | |
| 7 | 2016 | 81 | |
| 8 | 2020 | 79 | |
| 9 | 2020 | 74 | |
| 10 | 2018 | 74 | |
| 11 | 2016 | 66 | |
| 12 | 2019 | 65 | |
| 13 | 2012 | 63 | |
| 14 | 2007 | 63 | |
| 15 | 2015 | 60 | |
| 16 | 1992 | 59 | |
| 17 | 2016 | 59 | |
| 18 | 2020 | 52 | |
| 19 | 2019 | 51 | |
| 20 | 2016 | 50 |
About Lei Zhao
Lei Zhao is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Neurology, having authored 138 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Photonic and Optical Devices (10 papers), Ion channel regulation and function (9 papers), Connexins and lens biology (9 papers), Neuropeptides and Animal Physiology (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Cardiac Ischemia and Reperfusion (7 papers) and Intracerebral and Subarachnoid Hemorrhage Research (6 papers). The work is most often cited by research in Geriatrics and Gerontology (261 citations), Neurology (403 citations), Endocrine and Autonomic Systems (260 citations), Biological Psychiatry (69 citations) and Physiology (556 citations). Lei Zhao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yan Qu, Haixiao Liu, Liang Yu, Dayun Feng, Hao Guo, Nannan Luan, Hao Bai, Xun Wu, Xiangmin Yang and Bodong Wang. Their work appears in journals such as European Journal of Pharmacology, Molecular Neurobiology, Diabetes, Brain Research and Cytokine.
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.