Dan Liu

4.8k total citations · 1 hit paper
80 papers, 3.6k citations indexed

About

Dan Liu is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dan Liu has authored 80 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Physiology, 23 papers in Molecular Biology and 19 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dan Liu's work include Alzheimer's disease research and treatments (28 papers), Neuroscience and Neuropharmacology Research (13 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). Dan Liu is often cited by papers focused on Alzheimer's disease research and treatments (28 papers), Neuroscience and Neuropharmacology Research (13 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). Dan Liu collaborates with scholars based in China, United States and Russia. Dan Liu's co-authors include Ling‐Qiang Zhu, Peter J. Hornsby, Youming Lu, Jianguo Chen, Jian‐Zhi Wang, Heng‐Ye Man, Fan Hu, Pei Pang, Qing Tian and Wen Bao and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Dan Liu

74 papers receiving 3.6k citations

Hit Papers

Loss of ferroportin induces memory impairment by promotin... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Liu China 31 1.7k 1.2k 745 633 497 80 3.6k
Amalia M. Dolga Netherlands 36 2.1k 1.2× 629 0.5× 431 0.6× 825 1.3× 525 1.1× 121 3.8k
Tobías Engel Ireland 43 2.5k 1.5× 821 0.7× 1.0k 1.4× 1.4k 2.2× 242 0.5× 134 5.5k
Youming Lu China 35 2.4k 1.4× 758 0.6× 789 1.1× 1.5k 2.3× 451 0.9× 76 4.3k
Jan Lewerenz Germany 29 1.9k 1.1× 580 0.5× 471 0.6× 950 1.5× 566 1.1× 79 4.5k
Na Zhao China 31 1.8k 1.1× 1.8k 1.5× 354 0.5× 612 1.0× 185 0.4× 139 4.9k
Tao Ma China 32 1.8k 1.1× 1.4k 1.1× 298 0.4× 829 1.3× 127 0.3× 189 4.1k
Shao‐Hua Yang United States 41 1.6k 1.0× 881 0.7× 379 0.5× 752 1.2× 202 0.4× 89 4.5k
Karen Gertz Germany 37 1.4k 0.9× 520 0.4× 359 0.5× 686 1.1× 271 0.5× 80 4.7k
Ülkan Kılıç Türkiye 36 1.5k 0.9× 715 0.6× 277 0.4× 648 1.0× 149 0.3× 101 4.3k

Countries citing papers authored by Dan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Liu. A scholar is included among the top collaborators of Dan Liu 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 Dan Liu. Dan Liu 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.
Huang, He‐Zhou, et al.. (2025). Alcohol addiction and Alzheimer’s disease: a molecular collision course. Translational Psychiatry. 15(1). 410–410.
2.
Zhou, Yuan, Wenlian Li, Yang Zhou, et al.. (2025). A new lens on Alzheimer's disease: Insights into the Edinger-Westphal nucleus and its circuits. Journal of Alzheimer s Disease. 107(4). 1325–1339.
3.
Zhang, Juan, Zhiqiang Liu, Shiping Wu, et al.. (2025). Cpeb1 remodels cell type–specific translational program to promote fear extinction. Science Advances. 11(2). eadr8687–eadr8687.
4.
Zhou, Yang, Wenlian Li, Zhiqiang Liu, et al.. (2025). Spinal cord Tau pathology induces tactile deficits and cognitive impairment in Alzheimer’s disease via dysregulation of CCK neurons. Nature Neuroscience. 29(2). 358–373.
5.
Liu, Zhiqiang, Ziyuan Guo, Heng‐Ye Man, et al.. (2024). Postsynaptic lncRNA Sera/Pkm2 pathway orchestrates the transition from social competition to rank by remodeling the neural ensemble in mPFC. Cell Discovery. 10(1). 87–87. 1 indexed citations
7.
Cheng, Ying, et al.. (2023). Clinical characteristics of antithyroid drug-induced aplastic anemia cases over the past 30 years. Frontiers in Endocrinology. 14. 1064723–1064723. 2 indexed citations
8.
Huang, Fei, Jun Zeng, Dan Liu, et al.. (2023). A novel frameshift mutation in DNAH6 associated with male infertility and asthenoteratozoospermia. Frontiers in Endocrinology. 14. 1122004–1122004. 6 indexed citations
9.
Wu, Moxin, Zhiying Chen, Min Jiang, et al.. (2023). Friend or foe: role of pathological tau in neuronal death. Molecular Psychiatry. 28(6). 2215–2227. 19 indexed citations
10.
Zheng, Kai, Fan Hu, Yang Zhou, et al.. (2021). miR-135a-5p mediates memory and synaptic impairments via the Rock2/Adducin1 signaling pathway in a mouse model of Alzheimer’s disease. Nature Communications. 12(1). 1903–1903. 68 indexed citations
11.
Bao, Wen, Pei Pang, Fan Hu, et al.. (2021). Loss of ferroportin induces memory impairment by promoting ferroptosis in Alzheimer’s disease. Cell Death and Differentiation. 28(5). 1548–1562. 499 indexed citations breakdown →
12.
Bao, Wen, Xiaoting Zhou, Lanting Zhou, et al.. (2020). Targeting miR‐124/Ferroportin signaling ameliorated neuronal cell death through inhibiting apoptosis and ferroptosis in aged intracerebral hemorrhage murine model. Aging Cell. 19(11). e13235–e13235. 136 indexed citations
13.
Hou, Tongyao, Yang Zhou, Xiong Wang, et al.. (2020). Correcting abnormalities in miR‐124/PTPN1 signaling rescues tau pathology in Alzheimer’s disease. Journal of Neurochemistry. 154(4). 441–457. 48 indexed citations
14.
Liu, Dan, et al.. (2020). Characterisation of the novel clinical isolate X-4 containing a new tp0548 sequence-type. Sexually Transmitted Infections. 97(2). 120–125. 3 indexed citations
15.
Su, Ying, Man‐Fei Deng, Wan Xiong, et al.. (2018). MicroRNA-26a/Death-Associated Protein Kinase 1 Signaling Induces Synucleinopathy and Dopaminergic Neuron Degeneration in Parkinson’s Disease. Biological Psychiatry. 85(9). 769–781. 100 indexed citations
16.
Fu, Peng, Chengye Yao, Jianguo Chen, et al.. (2017). Long Non-coding RNAs, Novel Culprits, or Bodyguards in Neurodegenerative Diseases. Molecular Therapy — Nucleic Acids. 10. 269–276. 56 indexed citations
17.
Tang, Hui, Na Shen, Huijuan Jin, et al.. (2013). GSK-3β Polymorphism Discriminates Bipolar Disorder and Schizophrenia: A Systematic Meta-Analysis. Molecular Neurobiology. 48(3). 404–411. 27 indexed citations
18.
Yang, Ying, Xiaogang Shu, Dan Liu, et al.. (2012). EPAC Null Mutation Impairs Learning and Social Interactions via Aberrant Regulation of miR-124 and Zif268 Translation. Neuron. 73(4). 774–788. 156 indexed citations
19.
Dai, Limeng, Dan Liu, Hong Guo, Yanyan Wang, & Yun Bai. (2011). Association between polymorphism in the promoter region of Interleukin 6 (-174 G/C) and risk of Alzheimer’s disease: a meta-analysis. Journal of Neurology. 259(3). 414–419. 24 indexed citations
20.
Hu, Juan, Xiang Wang, Dan Liu, Qun Wang, & Ling‐Qiang Zhu. (2011). Olfactory deficits induce neurofilament hyperphosphorylation. Neuroscience Letters. 506(2). 180–183. 17 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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