Kai Le
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 9
-
- Inflammasome and immune disorders 2
- Co-authors
- Yijing Guo (5 shared papers)Shanshan Wu (3 shared papers)Xin Peng (3 shared papers)Jiamin Wang (2 shared papers)Juan Peng (1 shared paper)Jun Wang (1 shared paper)Hongqun Jiang (1 shared paper)Lü Zhou (1 shared paper)
- Journals
- Neural Plasticity (2 papers)Journal of Molecular Neuroscience (2 papers)Journal of Alzheimer s Disease (1 paper)International Immunopharmacology (1 paper)Clinical & Experimental Immunology (1 paper)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Kai Le
20 papers receiving 412 citations
Peers
Comparison fields: 5 of 65
- Neurology 129
- Biological Psychiatry 33
- Geriatrics and Gerontology 38
- Clinical Biochemistry 61
- Developmental Neuroscience 16
Countries citing papers authored by Kai Le
This map shows the geographic impact of Kai Le'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 Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Le more than expected).
Fields of papers citing papers by Kai Le
This network shows the impact of papers produced by Kai Le. 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 Le. The network helps show where Kai Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Le, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 94 | |
| 2 | 2020 | 64 | |
| 3 | 2021 | 41 | |
| 4 | 2020 | 30 | |
| 5 | 2018 | 30 | |
| 6 | 2017 | 25 | |
| 7 | 2019 | 23 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2018 | 11 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2025 | 3 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Kai Le
Kai Le is a scholar working on Neurology, Molecular Biology, Clinical Biochemistry, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 414 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Advanced Glycation End Products research (6 papers), Neonatal and fetal brain pathology (5 papers), Inflammasome and immune disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Alzheimer's disease research and treatments (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Neurology (129 citations), Biological Psychiatry (33 citations), Geriatrics and Gerontology (38 citations), Clinical Biochemistry (61 citations) and Developmental Neuroscience (16 citations). Kai Le has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Yijing Guo, Shanshan Wu, Xin Peng, Jiamin Wang, Juan Peng, Jun Wang, Hongqun Jiang, Lü Zhou, Jie Deng and Zhengyu Liao. Their work appears in journals such as Neural Plasticity, Journal of Molecular Neuroscience, Journal of Alzheimer s Disease, International Immunopharmacology and Clinical & Experimental Immunology.
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.