Lina Pan

465 total citations
14 papers, 322 citations indexed

About

Lina Pan is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Lina Pan has authored 14 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Lina Pan's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (4 papers) and Neurological diseases and metabolism (2 papers). Lina Pan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (4 papers) and Neurological diseases and metabolism (2 papers). Lina Pan collaborates with scholars based in China and United States. Lina Pan's co-authors include Lanxia Meng, Zhentao Zhang, Mingyang He, Xin Yuan, Ye Tian, Guiqin Chen, Zhaohui Zhang, Guoxin Zhang, Jing Xiong and Chunrui Li and has published in prestigious journals such as Neuron, Brain and Science Advances.

In The Last Decade

Lina Pan

13 papers receiving 319 citations

Peers

Lina Pan
Sandra L. Castro United States
Jayden Lee United States
Danielle Sambo United States
Hayley A. Mattison United States
Molly M. Rajsombath United States
Laura Montero United States
Sandra L. Castro United States
Lina Pan
Citations per year, relative to Lina Pan Lina Pan (= 1×) peers Sandra L. Castro

Countries citing papers authored by Lina Pan

Since Specialization
Citations

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

Fields of papers citing papers by Lina Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Pan

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

All Works

14 of 14 papers shown
1.
Zhang, Guoxin, Xu Xu, Lina Pan, et al.. (2025). Galectin-9 activates microglial asparagine endopeptidase and promotes α-synuclein pathology in Parkinson’s disease. Cell Death and Differentiation.
2.
Zhu, Zhenggang, Kaiyuan Li, Qingqing Ma, et al.. (2024). A hypothalamic-amygdala circuit underlying sexually dimorphic aggression. Neuron. 112(18). 3176–3191.e7. 12 indexed citations
3.
Zhang, Guoxin, Lina Pan, Min Xiong, et al.. (2024). Microglia‐derived Galectin‐9 drives amyloid‐β pathology in Alzheimer's disease. Aging Cell. 24(2). e14396–e14396. 3 indexed citations
4.
Pan, Lina, Chunrui Li, Lanxia Meng, et al.. (2024). GDF1 ameliorates cognitive impairment induced by hearing loss. Nature Aging. 4(4). 568–583. 11 indexed citations
5.
Meng, Lanxia, Guiqin Chen, Ting Yu, et al.. (2023). The yeast prion protein Sup35 initiates α-synuclein pathology in mouse models of Parkinson’s disease. Science Advances. 9(44). eadj1092–eadj1092. 12 indexed citations
6.
Meng, Lanxia, Congcong Liu, Guoxin Zhang, et al.. (2023). Islet amyloid polypeptide triggers α-synuclein pathology in Parkinson’s disease. Progress in Neurobiology. 226. 102462–102462. 16 indexed citations
7.
Tian, Ye, Lina Pan, Xin Yuan, et al.. (2022). 7,8-Dihydroxyflavone ameliorates mitochondrial impairment and motor dysfunction in the α-synuclein 1–103 transgenic mice. Neurobiology of Disease. 169. 105736–105736. 7 indexed citations
8.
Pan, Lina, Chunrui Li, Lanxia Meng, et al.. (2022). Tau accelerates α-synuclein aggregation and spreading in Parkinson’s disease. Brain. 145(10). 3454–3471. 92 indexed citations
9.
Yuan, Xin, Chaoyang Liu, Ye Tian, et al.. (2022). Fine Particulate Matter Triggers α‐Synuclein Fibrillization and Parkinson‐like Neurodegeneration. Movement Disorders. 37(9). 1817–1830. 36 indexed citations
10.
Zou, Li, Xingyu Zhang, Min Xiong, et al.. (2021). Asparagine endopeptidase cleaves synaptojanin 1 and triggers synaptic dysfunction in Parkinson's disease. Neurobiology of Disease. 154. 105326–105326. 14 indexed citations
11.
Zhu, Zhenggang, Qingqing Ma, Hongbin Yang, et al.. (2021). A substantia innominata-midbrain circuit controls a general aggressive response. Neuron. 109(9). 1540–1553.e9. 25 indexed citations
12.
Pan, Lina, Lanxia Meng, Mingyang He, & Zhentao Zhang. (2021). Tau in the Pathophysiology of Parkinson’s Disease. Journal of Molecular Neuroscience. 71(11). 2179–2191. 69 indexed citations
13.
Tian, Ye, Mingyang He, Lina Pan, et al.. (2021). Transgenic Mice Expressing Human α-Synuclein 1-103 Fragment as a Novel Model of Parkinson’s Disease. Frontiers in Aging Neuroscience. 13. 760781–760781. 10 indexed citations
14.
Zhang, Xingyu, Li Zou, Lanxia Meng, et al.. (2021). Amphiphysin I cleavage by asparagine endopeptidase leads to tau hyperphosphorylation and synaptic dysfunction. eLife. 10. 15 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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