David Le
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Neurological Disease Mechanisms and Treatments 3
-
- Alzheimer's disease research and treatments 4
- Co-authors
- Li Gan (8 shared papers)Yaqiao Li (7 shared papers)Yungui Zhou (6 shared papers)Lihong Zhan (5 shared papers)Lay Kodama (4 shared papers)Faten A. Sayed (4 shared papers)Maria A. Telpoukhovskaia (3 shared papers)Sakura Minami (3 shared papers)
- Journals
- Scientific Reports (1 paper)PLoS Biology (1 paper)Brain and Behavior (1 paper)Nature Communications (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesAustraliaParaguay
In The Last Decade
David Le
11 papers receiving 765 citations
David Le's Hit Papers
Peers
Comparison fields: 5 of 73
- Neurology 456
- Biological Psychiatry 79
- Physiology 360
- Developmental Neuroscience 55
- Immunology 176
Countries citing papers authored by David Le
This map shows the geographic impact of David 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 David Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Le more than expected).
Fields of papers citing papers by David Le
This network shows the impact of papers produced by David 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 David Le. The network helps show where David Le may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 200 | |
| 2 | Microglial NF-κB drives tau spreading and toxicity in a mouse model of tauopathy Hit paper breakdown → | 2022 | 186 |
| 3 | 2018 | 126 | |
| 4 | 2019 | 109 | |
| 5 | 2019 | 79 | |
| 6 | 2020 | 17 | |
| 7 | 2008 | 13 | |
| 8 | 2015 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2005 | 9 | |
| 11 | 2022 | 6 |
About David Le
David Le is a scholar working on Neurology, Physiology, Immunology, Molecular Biology and Epidemiology, having authored 11 papers that have together received 770 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Alzheimer's disease research and treatments (4 papers), Neurological Disease Mechanisms and Treatments (3 papers), Autophagy in Disease and Therapy (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), interferon and immune responses (1 paper), MicroRNA in disease regulation (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Neurology (456 citations), Biological Psychiatry (79 citations), Physiology (360 citations), Developmental Neuroscience (55 citations) and Immunology (176 citations). David Le has collaborated with scholars based in United States, Australia and Paraguay. Frequent co-authors include Li Gan, Yaqiao Li, Yungui Zhou, Lihong Zhan, Lay Kodama, Faten A. Sayed, Maria A. Telpoukhovskaia, Sakura Minami, Birgit Schilling and Tara E. Tracy. Their work appears in journals such as Scientific Reports, PLoS Biology, Brain and Behavior, Nature Communications and Nature Neuroscience.
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.