Chunlei Han

974 total citations
39 papers, 658 citations indexed

About

Chunlei Han is a scholar working on Neurology, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Chunlei Han has authored 39 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 14 papers in Molecular Biology and 10 papers in Cognitive Neuroscience. Recurrent topics in Chunlei Han's work include Neurological disorders and treatments (17 papers), Parkinson's Disease Mechanisms and Treatments (12 papers) and MicroRNA in disease regulation (7 papers). Chunlei Han is often cited by papers focused on Neurological disorders and treatments (17 papers), Parkinson's Disease Mechanisms and Treatments (12 papers) and MicroRNA in disease regulation (7 papers). Chunlei Han collaborates with scholars based in China and United States. Chunlei Han's co-authors include Fangang Meng, Jianguo Zhang, Kailiang Wang, Xuemin Zhao, Yunpeng Liu, Ming Ge, Wei Hu, Ning Chen, Qiao Wang and Tingting Du and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Chunlei Han

35 papers receiving 656 citations

Peers

Chunlei Han

NEURO

CMN

NEURO

Zaiwang Li China

Dawei Meng China

István Adorján Hungary

Ammar Kutiyanawalla United States

Quan Lin United States

Man‐Fei Deng China

Ahmad Salamian Iran

Carlos Nogueras‐Ortiz United States

Ané Korff United States

Jared T. Ahrendsen United States

Zaiwang Li China

Chunlei Han

194 ×0.6

74 ×0.3

96 ×0.6

NEURO

150 ×1.0

CMN

131 ×1.2

NEURO

Citations per year, relative to Chunlei Han Chunlei Han (= 1×) peers Zaiwang Li

Countries citing papers authored by Chunlei Han

Since Specialization

Citations

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

Fields of papers citing papers by Chunlei Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunlei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Chunlei Han. A scholar is included among the top collaborators of Chunlei Han 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 Chunlei Han. Chunlei Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Han, Chunlei, Huizhi Wang, M. Zhang, et al.. (2025). Activated TBK1 promotes ACSL1-mediated microglia lipid droplet accumulation and neuroinflammation in Parkinson’s disease. Journal of Neuroinflammation. 22(1). 190–190. 3 indexed citations

Tan, Huixin, Kun Liang, Cuiping Xu, et al.. (2024). Intracranial EEG signals disentangle multi-areal neural dynamics of vicarious pain perception. Nature Communications. 15(1). 5203–5203. 10 indexed citations

Meng, Fangang, Cuiping Xu, Yanyang Zhang, et al.. (2024). Simultaneous intracranial recordings of interacting brains reveal neurocognitive dynamics of human cooperation. Nature Neuroscience. 28(1). 161–173. 4 indexed citations

Wang, Qiao, Huizhi Wang, Chong Liu, et al.. (2023). The NONRATT023402.2/rno-miR-3065-5p/NGFR axis affects levodopa-induced dyskinesia in a rat model of Parkinson’s disease. Cell Death Discovery. 9(1). 342–342. 3 indexed citations

Xue, Tao, Shu Wang, Shujun Chen, et al.. (2023). Subthalamic nucleus stimulation attenuates motor seizures via modulating the nigral orexin pathway. Frontiers in Neuroscience. 17. 1157060–1157060. 6 indexed citations

Zhang, M., Chong Liu, Huizhi Wang, et al.. (2023). Identification of Cuproptosis Clusters and Integrative Analyses in Parkinson’s Disease. Brain Sciences. 13(7). 1015–1015. 6 indexed citations

Wang, Qiao, Huizhi Wang, Xuemin Zhao, et al.. (2023). Transcriptome sequencing of circular RNA reveals the involvement of hsa‐SCMH1_0001 in the pathogenesis of Parkinson's disease. CNS Neuroscience & Therapeutics. 30(3). e14435–e14435. 9 indexed citations

Liu, Chong, Xuemin Zhao, Qiao Wang, et al.. (2023). Astrocyte-derived SerpinA3N promotes neuroinflammation and epileptic seizures by activating the NF-κB signaling pathway in mice with temporal lobe epilepsy. Journal of Neuroinflammation. 20(1). 161–161. 44 indexed citations

Liang, Kun, Renpeng Li, Qiao Wang, et al.. (2023). Emotional symptoms and cognitive function outcomes of subthalamic stimulation in Parkinson's disease depend on location of active contacts and the volume of tissue activated. CNS Neuroscience & Therapeutics. 29(8). 2355–2365. 8 indexed citations

10.

Hu, Zhiyong, Tala Shi, Mei Cheng, et al.. (2023). Masson pine pollen aqueous extract ameliorates cadmium-induced kidney damage in rats. Frontiers in Molecular Biosciences. 10. 1249744–1249744. 3 indexed citations

11.

Wang, Feng, Jiwei Wang, Chunlei Han, et al.. (2022). Subthalamic nucleus-deep brain stimulation improves autonomic dysfunctions in Parkinson’s disease. BMC Neurology. 22(1). 124–124. 9 indexed citations

12.

Li, Zhibao, Guoping Ren, Chong Liu, et al.. (2021). Dysfunctional Brain Dynamics of Parkinson's Disease and the Effect of Acute Deep Brain Stimulation. Frontiers in Neuroscience. 15. 697909–697909. 7 indexed citations

13.

Li, Zhibao, Chong Liu, Qiao Wang, et al.. (2021). Abnormal Functional Brain Network in Parkinson's Disease and the Effect of Acute Deep Brain Stimulation. Frontiers in Neurology. 12. 715455–715455. 8 indexed citations

14.

Wang, Feng, Weiguo Li, Chunlei Han, et al.. (2021). Relationship between electrode position of deep brain stimulation and motor symptoms of Parkinson’s disease. BMC Neurology. 21(1). 122–122. 21 indexed citations

15.

Wang, Kailiang, Dan Xu, Wei Hu, et al.. (2020). Electromyography Biomarkers for Quantifying the Intraoperative Efficacy of Deep Brain Stimulation in Parkinson's Patients With Resting Tremor. Frontiers in Neurology. 11. 142–142. 8 indexed citations

16.

Han, Chunlei, Ming Ge, Yunpeng Liu, et al.. (2018). LncRNA H19 contributes to hippocampal glial cell activation via JAK/STAT signaling in a rat model of temporal lobe epilepsy. Journal of Neuroinflammation. 15(1). 103–103. 103 indexed citations

17.

Wang, Kailiang, Wei Hu, Xiaobin Zhao, et al.. (2018). Metabolic covariance networks combining graph theory measuring aberrant topological patterns in mesial temporal lobe epilepsy. CNS Neuroscience & Therapeutics. 25(3). 396–408. 21 indexed citations

18.

Wang, Kailiang, et al.. (2018). The Metabolic Activity of Caudate and Prefrontal Cortex Negatively Correlates with the Severity of Idiopathic Parkinson’s Disease. Aging and Disease. 10(4). 847–847. 15 indexed citations

19.

Han, Chunlei, Yunpeng Liu, Xuemin Zhao, et al.. (2017). Whole-transcriptome screening reveals the regulatory targets and functions of long non-coding RNA H19 in epileptic rats. Biochemical and Biophysical Research Communications. 489(2). 262–269. 23 indexed citations

20.

Han, Chunlei, Wei Hu, Matt Stead, et al.. (2014). Electrical stimulation of hippocampus for the treatment of refractory temporal lobe epilepsy. Brain Research Bulletin. 109. 13–21. 35 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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