Xinchun Jin

1.8k total citations
50 papers, 1.4k citations indexed

About

Xinchun Jin is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Xinchun Jin has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Neurology, 19 papers in Molecular Biology and 12 papers in Epidemiology. Recurrent topics in Xinchun Jin's work include Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Barrier Structure and Function Studies (12 papers) and Acute Ischemic Stroke Management (11 papers). Xinchun Jin is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Barrier Structure and Function Studies (12 papers) and Acute Ischemic Stroke Management (11 papers). Xinchun Jin collaborates with scholars based in China, United States and United Kingdom. Xinchun Jin's co-authors include Wenlan Liu, Jie Liu, Ke J. Liu, Yanyun Sun, Wen-Cao Liu, Xiaona Wang, Hui‐Kuo G. Shu, Yi Yang, Mengwei Wang and Chun‐Feng Liu and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of Neurochemistry.

In The Last Decade

Xinchun Jin

47 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinchun Jin China 21 680 483 296 204 190 50 1.4k
Lijun Xu China 17 646 0.9× 469 1.0× 178 0.6× 230 1.1× 245 1.3× 48 1.6k
Ping Zheng China 12 974 1.4× 562 1.2× 160 0.5× 219 1.1× 232 1.2× 24 1.8k
Jin Hwan Lee United States 22 364 0.5× 392 0.8× 228 0.8× 191 0.9× 204 1.1× 34 1.4k
Ren‐Hong Du China 17 449 0.7× 592 1.2× 152 0.5× 348 1.7× 415 2.2× 23 1.5k
Eunhee Kim United States 21 660 1.0× 431 0.9× 243 0.8× 181 0.9× 156 0.8× 37 1.4k
Saeid Taheri United States 17 603 0.9× 301 0.6× 231 0.8× 300 1.5× 162 0.9× 42 1.5k
Christl Ruetzler United States 24 981 1.4× 558 1.2× 255 0.9× 257 1.3× 390 2.1× 27 2.0k
Sarah A. Loddick United Kingdom 17 948 1.4× 709 1.5× 216 0.7× 127 0.6× 327 1.7× 20 1.9k
Yu-Ping Peng China 26 647 1.0× 657 1.4× 118 0.4× 318 1.6× 431 2.3× 80 2.0k
Prativa Sherchan United States 23 637 0.9× 643 1.3× 240 0.8× 879 4.3× 228 1.2× 60 2.0k

Countries citing papers authored by Xinchun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xinchun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinchun Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xinchun Jin. A scholar is included among the top collaborators of Xinchun Jin 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 Xinchun Jin. Xinchun Jin 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.
Sun, Yanyun, et al.. (2025). DPSCs-Exos promote OPCs differentiation and white matter repair via Myl9-mediated PRMT5 nucleation after ischemic stroke. Journal of Cerebral Blood Flow & Metabolism. 46(3). 695–709.
2.
Wang, Yanping, Xinyu Zhang, Hai Guo, et al.. (2025). Aging‐Induced Episodic‐Like Memory Impairment Could be Alleviated by Melatonin Treatment via Preserving Blood–Brain Barrier Integrity and Upregulating CRTC1. CNS Neuroscience & Therapeutics. 31(4). e70412–e70412. 2 indexed citations
3.
4.
Liu, Cuiying, Longfei Guan, Chenyang Li, et al.. (2024). Docosahexaenoic acid protects against ischemic stroke in diabetic mice by inhibiting inflammatory responses and apoptosis. Experimental Neurology. 385. 115075–115075.
5.
6.
Hong, Qing, et al.. (2023). CYP metabolic pathway related gene polymorphism increases the risk of embolic and atherothrombotic stroke and vulnerable carotid plaque in southeast China. Journal of Stroke and Cerebrovascular Diseases. 32(8). 107195–107195. 1 indexed citations
7.
Wang, Qian, et al.. (2023). The NG2-glia is a potential target to maintain the integrity of neurovascular unit after acute ischemic stroke. Neurobiology of Disease. 180. 106076–106076. 19 indexed citations
8.
Wang, Yihui, Wen-Cao Liu, Chun Guo, et al.. (2023). Role of Crosstalk between Glial Cells and Immune Cells in Blood-Brain Barrier Damage and Protection after Acute Ischemic Stroke. Aging and Disease. 15(6). 0–0. 27 indexed citations
9.
Wang, Yanping, et al.. (2023). Targeting the blood–brain barrier to delay aging-accompanied neurological diseases by modulating gut microbiota, circadian rhythms, and their interplays. Acta Pharmaceutica Sinica B. 13(12). 4667–4687. 33 indexed citations
10.
D, Li, Qi Liao, Tao Yang, et al.. (2022). Downregulation of CRTC1 Is Involved in CUMS-Induced Depression-Like Behavior in the Hippocampus and Its RNA Sequencing Analysis. Molecular Neurobiology. 59(7). 4405–4418. 11 indexed citations
11.
D, Li, Chuang Wang, Xinchun Jin, et al.. (2021). Dysregulated CRTC1-BDNF signaling pathway in the hippocampus contributes to Aβ oligomer-induced long-term synaptic plasticity and memory impairment. Experimental Neurology. 345. 113812–113812. 18 indexed citations
12.
Li, Fei, Wen-Cao Liu, Qi Wang, et al.. (2019). NG2-glia cell proliferation and differentiation by glial growth factor 2 (GGF2), a strategy to promote functional recovery after ischemic stroke. Biochemical Pharmacology. 171. 113720–113720. 22 indexed citations
13.
14.
Sun, Yanyun, Xi Chen, Xinyu Zhang, et al.. (2017). β2-Adrenergic Receptor-Mediated HIF-1α Upregulation Mediates Blood Brain Barrier Damage in Acute Cerebral Ischemia. Frontiers in Molecular Neuroscience. 10. 257–257. 42 indexed citations
15.
Zhang, Yuan, Ke Yang, Ting Wang, et al.. (2017). Nrdp1 Increases Ischemia Induced Primary Rat Cerebral Cortical Neurons and Pheochromocytoma Cells Apoptosis Via Downregulation of HIF-1α Protein. Frontiers in Cellular Neuroscience. 11. 293–293. 13 indexed citations
16.
Wang, Xiaona, et al.. (2016). Blood brain barrier breakdown was found in non-infarcted area after 2-h MCAO. Journal of the Neurological Sciences. 363. 63–68. 21 indexed citations
17.
Jin, Xinchun & Wen-Cao Liu. (2016). Oxygen or cooling, to make a decision after acute ischemia stroke. Medical Gas Research. 6(4). 206–206. 6 indexed citations
18.
Liu, Wen-Cao, Yanyun Sun, Xiaona Wang, et al.. (2016). Normobaric Hyperoxia Extends Neuro- and Vaso-Protection of N-Acetylcysteine in Transient Focal Ischemia. Molecular Neurobiology. 54(5). 3418–3427. 30 indexed citations
19.
Yan, Shenqiang, Xinchun Jin, Xuting Zhang, et al.. (2015). Extensive cerebral microbleeds predict parenchymal haemorrhage and poor outcome after intravenous thrombolysis. Journal of Neurology Neurosurgery & Psychiatry. 86(11). 1267–1272. 32 indexed citations
20.
Jin, Xinchun, Jie Liu, & Wenlan Liu. (2014). Early Ischemic Blood Brain Barrier Damage: A Potential Indicator for Hemorrhagic Transformation Following Tissue Plasminogen Activator (tPA) Thrombolysis?. Current Neurovascular Research. 11(3). 254–262. 49 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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