Weidong Le

24.5k total citations · 3 hit papers
289 papers, 17.2k citations indexed

About

Weidong Le is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Weidong Le has authored 289 papers receiving a total of 17.2k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Neurology, 111 papers in Molecular Biology and 102 papers in Cellular and Molecular Neuroscience. Recurrent topics in Weidong Le's work include Parkinson's Disease Mechanisms and Treatments (106 papers), Nuclear Receptors and Signaling (62 papers) and Alzheimer's disease research and treatments (45 papers). Weidong Le is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (106 papers), Nuclear Receptors and Signaling (62 papers) and Alzheimer's disease research and treatments (45 papers). Weidong Le collaborates with scholars based in China, United States and United Kingdom. Weidong Le's co-authors include Yu Tang, Joseph Jankovic, Sheng Chen, Song Li, Stanley H. Appel, Wenjie Xie, Wenjie Xie, Tianhong Pan, Joseph Jankovic and Dehua Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Weidong Le

281 papers receiving 16.9k citations

Hit Papers

Differential Roles of M1 ... 1998 2026 2007 2016 2015 1998 2017 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Weidong Le 6.2k 5.6k 5.1k 3.4k 3.3k 289 17.2k
Michael A. Schwarzschild 4.5k 0.7× 7.6k 1.4× 5.1k 1.0× 2.8k 0.8× 1.8k 0.5× 235 17.3k
Robert M. Friedlander 6.7k 1.1× 4.0k 0.7× 5.1k 1.0× 2.4k 0.7× 1.8k 0.5× 215 14.7k
Howard J. Federoff 8.2k 1.3× 2.6k 0.5× 4.2k 0.8× 2.3k 0.7× 3.1k 0.9× 255 16.8k
Michael A. Moskowitz 6.2k 1.0× 2.5k 0.5× 3.2k 0.6× 3.5k 1.0× 5.6k 1.7× 155 21.9k
Thomas Klockgether 8.8k 1.4× 10.7k 1.9× 10.2k 2.0× 4.1k 1.2× 3.8k 1.2× 386 23.9k
Vernice Jackson‐Lewis 5.9k 1.0× 8.7k 1.5× 7.6k 1.5× 4.2k 1.2× 3.5k 1.1× 92 17.9k
Stephen W. Scheff 6.5k 1.0× 4.1k 0.7× 6.4k 1.3× 3.4k 1.0× 7.0k 2.1× 184 20.0k
Neil W. Kowall 7.6k 1.2× 6.0k 1.1× 6.5k 1.3× 2.4k 0.7× 4.6k 1.4× 192 18.0k
Lee J. Martin 9.0k 1.5× 5.3k 0.9× 8.7k 1.7× 3.2k 0.9× 4.3k 1.3× 242 21.6k
Juan C. Troncoso 11.3k 1.8× 7.3k 1.3× 6.6k 1.3× 4.0k 1.2× 9.5k 2.9× 318 26.0k

Countries citing papers authored by Weidong Le

Since Specialization
Citations

This map shows the geographic impact of Weidong 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 Weidong Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weidong Le more than expected).

Fields of papers citing papers by Weidong Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weidong 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 Weidong Le. The network helps show where Weidong Le may publish in the future.

Co-authorship network of co-authors of Weidong Le

This figure shows the co-authorship network connecting the top 25 collaborators of Weidong Le. A scholar is included among the top collaborators of Weidong Le based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weidong Le. Weidong Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Jun, et al.. (2025). Biological Effects of Dietary Restriction on Alzheimer's Disease: Experimental and Clinical Investigations. CNS Neuroscience & Therapeutics. 31(4). e70392–e70392. 1 indexed citations
4.
Dong, Jie, Lupeng Wang, Lixin Sun, et al.. (2025). Molecularly distinct striatonigral neuron subtypes differentially regulate locomotion. Nature Communications. 16(1). 2710–2710.
5.
Shao, Yaping, Panpan Wang, Lulu Tian, et al.. (2024). Fecal microbiota from patients with Parkinson's disease intensifies inflammation and neurodegeneration in A53T mice. CNS Neuroscience & Therapeutics. 30(8). e70003–e70003. 9 indexed citations
6.
Jia, Congcong, Lulu Tian, Cheng Cheng, et al.. (2024). α-Synuclein reduces acetylserotonin O-methyltransferase mediated melatonin biosynthesis by microtubule-associated protein 1 light chain 3 beta-related degradation pathway. Cellular and Molecular Life Sciences. 81(1). 61–61. 4 indexed citations
7.
Qiu, Tao, Song Li, Meichen Liu, et al.. (2024). Integrated cerebellar radiomic‐network model for predicting mild cognitive impairment in Alzheimer's disease. Alzheimer s & Dementia. 21(1). e14361–e14361. 11 indexed citations
8.
Huang, Xiao, Xiaofeng Zhu, Fang Ye, et al.. (2024). Association between plasma CTRPs with cognitive impairment and neurodegeneration of Alzheimer's disease. CNS Neuroscience & Therapeutics. 30(2). e14606–e14606. 1 indexed citations
9.
Shao, Yaping, Zhenfa Fu, Yanfeng Wang, et al.. (2023). A metabolome atlas of mouse brain on the global metabolic signature dynamics following short-term fasting. Signal Transduction and Targeted Therapy. 8(1). 334–334. 10 indexed citations
10.
Han, Qiu-Qin & Weidong Le. (2023). NLRP3 Inflammasome-Mediated Neuroinflammation and Related Mitochondrial Impairment in Parkinson’s Disease. Neuroscience Bulletin. 39(5). 832–844. 54 indexed citations
11.
Wang, Manli, Xi Chen, Long Niu, et al.. (2023). APPswe/PS1ΔE9 mice exhibit low oxygen saturation and alterations of erythrocytes preceding the neuropathology and cognitive deficiency during Alzheimer's disease. CNS Neuroscience & Therapeutics. 29(7). 1889–1897. 5 indexed citations
12.
Huang, Shuai, Xinxin Liu, Dan Liu, et al.. (2022). Pyrylium-Based Derivatization for Rapid Labeling and Enhanced Detection of Cholesterol in Mass Spectrometry Imaging. Journal of the American Society for Mass Spectrometry. 33(12). 2310–2318. 2 indexed citations
13.
Wang, Manli, Hang Yu, Song Li, Yang Xiang, & Weidong Le. (2021). Altered Biological Rhythm and Alzheimer's Disease: A Bidirectional Relationship. Current Alzheimer Research. 18(9). 667–675. 3 indexed citations
14.
Wang, Cui, Nan Zhao, Wenxue Li, et al.. (2018). Potential biomarkers of Parkinson's disease revealed by plasma metabolic profiling. Journal of Chromatography B. 1081-1082. 101–108. 81 indexed citations
15.
Le, Weidong, et al.. (2015). Autophagy dysregulation in amyotrophic lateral sclerosis. Journal of the Neurological Sciences. 357. e69–e69. 2 indexed citations
16.
Wu, Yun‐Cheng, Xinqun Li, Julie Zhu, et al.. (2011). Resveratrol-Activated AMPK/SIRT1/Autophagy in Cellular Models of Parkinson’s Disease. Neurosignals. 19(3). 163–174. 405 indexed citations
17.
Zhang, Xin, Xin Heng, Ting Li, et al.. (2011). Long-Term Treatment with Lithium Alleviates Memory Deficits and Reduces Amyloid-β Production in an Aged Alzheimer's Disease Transgenic Mouse Model. Journal of Alzheimer s Disease. 24(4). 739–749. 98 indexed citations
18.
Xie, Wenjie, Xuping Li, Chao Li, et al.. (2010). Proteasome inhibition modeling nigral neuron degeneration in Parkinson’s disease. Journal of Neurochemistry. 115(1). 188–199. 80 indexed citations
19.
Deng, Hao, Huarong Yang, Weidong Le, et al.. (2010). Examination of the MASH1 gene in patients with Parkinson’s disease. Biochemical and Biophysical Research Communications. 392(4). 548–550. 14 indexed citations
20.
Deng, Sheng, Hao Deng, Weidong Le, et al.. (2009). Genetic analysis of the NEUROG2 gene in patients with Parkinson's disease. Neuroscience Letters. 468(3). 195–197. 4 indexed citations

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.

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