Yufei Mei

709 total citations
21 papers, 404 citations indexed

About

Yufei Mei is a scholar working on Cellular and Molecular Neuroscience, Physiology and Developmental Neuroscience. According to data from OpenAlex, Yufei Mei has authored 21 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 10 papers in Physiology and 4 papers in Developmental Neuroscience. Recurrent topics in Yufei Mei's work include Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Yufei Mei is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Yufei Mei collaborates with scholars based in China, United States and Canada. Yufei Mei's co-authors include Wei‐Tao Wu, Nadine Aubry, Binggui Sun, Peng Wu, Xiaoqin Zhang, Xu Yang, Zhiqian Tong, Zhihua Chen, Jianping Jia and Fernando Garcia–Menendez and has published in prestigious journals such as Environmental Science & Technology, The Journal of Comparative Neurology and International Journal of Molecular Sciences.

In The Last Decade

Yufei Mei

20 papers receiving 397 citations

Peers

Yufei Mei

CMN

PHYSI

NEURO

Junji Taguchi Japan

Ari Stern United States

Ling Xie China

Hillary Protas United States

Luigi Mascolo Italy

Zhaohui Yao China

Yuanyuan Hou China

Peter Mondrup Rasmussen Denmark

Jiuyang Ding China

Kim Vang Hansen Denmark

Junji Taguchi Japan

Yufei Mei

175 ×1.5

CMN

39 ×0.4

PHYSI

28 ×0.3

124 ×1.7

126 ×2.2

NEURO

Citations per year, relative to Yufei Mei Yufei Mei (= 1×) peers Junji Taguchi

Countries citing papers authored by Yufei Mei

Since Specialization

Citations

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

Fields of papers citing papers by Yufei Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufei Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Yufei Mei. A scholar is included among the top collaborators of Yufei Mei 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 Yufei Mei. Yufei Mei 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

He, Zhichao, Sang‐Wook Yi, Hang Zhou, et al.. (2025). Exploring the association between the post-pandemic period and psychological problems among university students in Wuhan: a cross-sectional analysis. BMC Public Health. 25(1). 3715–3715.

Wu, Mengjie, Ruonan Zhang, Peng Fu, & Yufei Mei. (2025). Disrupted astrocyte-neuron signaling reshapes brain activity in epilepsy and Alzheimer’s disease. Neuroscience. 570. 132–151. 2 indexed citations

Yu, Wanting, et al.. (2025). Deciphering the Functions of Raphe–Hippocampal Serotonergic and Glutamatergic Circuits and Their Deficits in Alzheimer’s Disease. International Journal of Molecular Sciences. 26(3). 1234–1234. 2 indexed citations

Li, Jinquan, et al.. (2024). Structural and functional remodeling of neural networks in β-amyloid driven hippocampal hyperactivity. Ageing Research Reviews. 101. 102468–102468. 4 indexed citations

Li, Guoqing, et al.. (2024). High cadmium exposure impairs adult hippocampal neurogenesis via disruption of store-operated calcium entry. Ecotoxicology and Environmental Safety. 286. 117162–117162. 2 indexed citations

Han, Man Yong, Xing-Xing Chen, Qiong Wu, et al.. (2024). Brain region–specific roles of brain-derived neurotrophic factor in social stress–induced depressive-like behavior. Neural Regeneration Research. 20(1). 159–173. 5 indexed citations

Wang, Jing, Yufei Mei, Xiaoqin Zhang, et al.. (2023). Aberrant serotonergic signaling contributes to the hyperexcitability of CA1 pyramidal neurons in a mouse model of Alzheimer’s disease. Cell Reports. 42(3). 112152–112152. 18 indexed citations

Mei, Yufei, et al.. (2022). Active control for the flow around various geometries through deep reinforcement learning. Fluid Dynamics Research. 54(1). 15510–15510. 6 indexed citations

Mei, Yufei, et al.. (2022). Deep reinforcement learning based synthetic jet control on disturbed flow over airfoil. Physics of Fluids. 34(3). 61 indexed citations

10.

Wang, Jing, Yufei Mei, Xiaoqin Zhang, et al.. (2022). Aberrant Serotonergic Signaling Contributes to the Hyperexcitability of CA1 Pyramidal Neurons in a Mouse Model of Alzheimer's Disease. SSRN Electronic Journal. 6 indexed citations

11.

Zhang, Xiaoqin, Xiaojie Wei, Yufei Mei, et al.. (2021). Modulating adult neurogenesis affects synaptic plasticity and cognitive functions in mouse models of Alzheimer's disease. Stem Cell Reports. 16(12). 3005–3019. 34 indexed citations

12.

Mei, Yufei, et al.. (2021). Active control for enhancing vortex induced vibration of a circular cylinder based on deep reinforcement learning. Physics of Fluids. 33(10). 33 indexed citations

13.

Zhang, Yun, Yufei Mei, Li Ai, et al.. (2020). Degradation of FA reduces Aβ neurotoxicity and Alzheimer-related phenotypes. Molecular Psychiatry. 26(10). 5578–5591. 35 indexed citations

14.

Zhang, Xiaoqin, Yufei Mei, Yang He, et al.. (2020). Ablating Adult Neural Stem Cells Improves Synaptic and Cognitive Functions in Alzheimer Models. Stem Cell Reports. 16(1). 89–105. 23 indexed citations

15.

Saari, Rebecca K., Yufei Mei, Erwan Monier, & Fernando Garcia–Menendez. (2019). Effect of Health-Related Uncertainty and Natural Variability on Health Impacts and Cobenefits of Climate Policy. Environmental Science & Technology. 53(3). 1098–1108. 28 indexed citations

16.

Zhang, Jingnan, Hongjun Luo, Yufei Mei, et al.. (2018). Illumination with 630 nm Red Light Reduces Oxidative Stress and Restores Memory by Photo-Activating Catalase and Formaldehyde Dehydrogenase in SAMP8 Mice. Antioxidants and Redox Signaling. 30(11). 1432–1449. 24 indexed citations

17.

He, Xiao, et al.. (2018). Ablation of ErbB4 in parvalbumin‐positive interneurons inhibits adult hippocampal neurogenesis through down‐regulating BDNF/TrkB expression. The Journal of Comparative Neurology. 526(15). 2482–2492. 14 indexed citations

18.

Mei, Yufei, Chunli Duan, Xiaoxiao Li, et al.. (2016). Reduction of Endogenous Melatonin Accelerates Cognitive Decline in Mice in a Simulated Occupational Formaldehyde Exposure Environment. International Journal of Environmental Research and Public Health. 13(3). 258–258. 16 indexed citations

19.

Cai, Jie, Zhimin Liu, Hui Li, et al.. (2015). [Toxic effect of formaldehyde on mouse different brain regions].. PubMed. 67(5). 497–504. 1 indexed citations

20.

Mei, Yufei, You Wan, Jihui Lv, et al.. (2015). Aging‐associated formaldehyde‐induced norepinephrine deficiency contributes to age‐related memory decline. Aging Cell. 14(4). 659–668. 46 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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