Ligen Shi

3.2k total citations · 2 hit papers
59 papers, 2.3k citations indexed

About

Ligen Shi is a scholar working on Neurology, Neurology and Immunology. According to data from OpenAlex, Ligen Shi has authored 59 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Neurology, 22 papers in Neurology and 18 papers in Immunology. Recurrent topics in Ligen Shi's work include Neuroinflammation and Neurodegeneration Mechanisms (21 papers), Intracerebral and Subarachnoid Hemorrhage Research (12 papers) and Immune cells in cancer (12 papers). Ligen Shi is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (21 papers), Intracerebral and Subarachnoid Hemorrhage Research (12 papers) and Immune cells in cancer (12 papers). Ligen Shi collaborates with scholars based in China, United States and Netherlands. Ligen Shi's co-authors include Jianmin Zhang, Jingwei Zheng, Sheng Chen, Keren Zhou, Shenbin Xu, Jianan Lü, Jun Yu, Rehana K. Leak, Feng Liang and Jun Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Ligen Shi

54 papers receiving 2.3k citations

Hit Papers

Treg cell-derived osteopontin promotes microglia-mediated... 2021 2026 2022 2024 2021 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ligen Shi China 24 895 701 486 464 331 59 2.3k
Josh M. Morganti United States 19 1.3k 1.5× 491 0.7× 591 1.2× 401 0.9× 150 0.5× 31 2.2k
Jenna M. Ziebell Australia 19 850 0.9× 690 1.0× 356 0.7× 960 2.1× 401 1.2× 32 2.0k
Yu-Ping Peng China 26 647 0.7× 657 0.9× 300 0.6× 318 0.7× 118 0.4× 80 2.0k
Olga N. Kokiko‐Cochran United States 21 1.4k 1.6× 644 0.9× 515 1.1× 609 1.3× 281 0.8× 40 2.6k
Christopher A. McPherson United States 16 1.3k 1.4× 644 0.9× 571 1.2× 215 0.5× 115 0.3× 22 2.5k
Rodney M. Ritzel United States 34 2.0k 2.2× 1.1k 1.5× 885 1.8× 615 1.3× 514 1.6× 59 3.6k
Antonietta Gentile Italy 29 909 1.0× 683 1.0× 321 0.7× 249 0.5× 118 0.4× 61 2.4k
Jae‐Hong Kim South Korea 19 841 0.9× 435 0.6× 285 0.6× 439 0.9× 99 0.3× 37 1.8k
Mithilesh Kumar Jha South Korea 29 880 1.0× 1.0k 1.5× 554 1.1× 338 0.7× 118 0.4× 54 2.9k

Countries citing papers authored by Ligen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ligen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ligen Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ligen Shi. A scholar is included among the top collaborators of Ligen Shi 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 Ligen Shi. Ligen Shi 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.
Liang, Feng, Xiaotao Zhang, Ziyang Jin, et al.. (2025). Plasmablast-like lymphoma cells as a distinct subpopulation confer multidrug resistance in PCNSL. Neuro-Oncology. 27(11). 2927–2942.
2.
Gao, Weijun, Liang Yue, Hongjie Jiang, et al.. (2025). Proteomic profiling in cerebrospinal fluid reveal biomarkers for shunt outcome in idiopathic normal-pressure hydrocephalus. Journal of Advanced Research. 80. 671–682.
3.
Zhang, Xiaotao, et al.. (2025). Brain-infiltrating ILC2s boost poststroke angiogenic initiation through α-CGRP production. The Journal of Experimental Medicine. 222(11).
4.
Shi, Ligen, Jun Hu, Zhang Qia, et al.. (2025). Repopulating Microglia Suppress Peripheral Immune Cell Infiltration to Promote Poststroke Recovery. CNS Neuroscience & Therapeutics. 31(9). e70565–e70565. 1 indexed citations
5.
Xu, Zhouming, et al.. (2025). Regulatory T cells as novel cell-based therapy for ischemic stroke. Journal of Cerebral Blood Flow & Metabolism. 45(10). 1859–1876. 1 indexed citations
7.
Zhang, Xiaotao, Huaming Li, Rui Wang, et al.. (2023). Novel subsets of peripheral immune cells associated with promoting stroke recovery in mice. CNS Neuroscience & Therapeutics. 30(4). e14518–e14518. 11 indexed citations
8.
Wang, Rui, Huaming Li, Chenhan Ling, et al.. (2023). A novel phenotype of B cells associated with enhanced phagocytic capability and chemotactic function after ischemic stroke. Neural Regeneration Research. 18(11). 2413–2423. 18 indexed citations
9.
Shi, Ligen, Jeroen Demmers, Karel Bezstarosti, et al.. (2022). Distinct proteomic profiles in prefrontal subareas of elderly major depressive disorder and bipolar disorder patients. Translational Psychiatry. 12(1). 275–275. 10 indexed citations
10.
Hu, Yaling, Kelei Cao, Fang Wang, et al.. (2022). Dual roles of hexokinase 2 in shaping microglial function by gating glycolytic flux and mitochondrial activity. Nature Metabolism. 4(12). 1756–1774. 91 indexed citations
11.
Jin, Cheng‐Hao, Xiaotao Zhang, Zeyu Sun, et al.. (2021). A Unique Type of Highly-Activated Microglia Evoking Brain Inflammation via Mif/Cd74 Signaling Axis in Aged Mice. Aging and Disease. 12(8). 2125–2125. 38 indexed citations
12.
Xu, Shenbin, Shuhao Mei, Jianan Lü, et al.. (2021). Transcriptome Analysis of Microglia Reveals That the TLR2/IRF7 Signaling Axis Mediates Neuroinflammation After Subarachnoid Hemorrhage. Frontiers in Aging Neuroscience. 13. 645649–645649. 12 indexed citations
13.
Zheng, Jingwei, Jianan Lü, Shuhao Mei, et al.. (2021). Ceria nanoparticles ameliorate white matter injury after intracerebral hemorrhage: microglia-astrocyte involvement in remyelination. Journal of Neuroinflammation. 18(1). 43–43. 91 indexed citations
14.
Lü, Jianan, Zeyu Sun, Yuanjian Fang, et al.. (2019). Melatonin Suppresses Microglial Necroptosis by Regulating Deubiquitinating Enzyme A20 After Intracerebral Hemorrhage. Frontiers in Immunology. 10. 1360–1360. 42 indexed citations
15.
Shi, Ligen, et al.. (2017). Endovascular Treatment of Intracavernous Internal Carotid Aneurysm Secondary to Pituitary Infection. World Neurosurgery. 101. 816.e5–816.e9.
16.
Shi, Ligen, Keren Zhou, Anwen Shao, et al.. (2017). PCMT1 Ameliorates Neuronal Apoptosis by Inhibiting the Activation of MST1 after Subarachnoid Hemorrhage in Rats. Translational Stroke Research. 8(5). 474–483. 31 indexed citations
17.
Zhou, Keren, Ligen Shi, Zhen Wang, et al.. (2017). RIP1-RIP3-DRP1 pathway regulates NLRP3 inflammasome activation following subarachnoid hemorrhage. Experimental Neurology. 295. 116–124. 67 indexed citations
18.
Shi, Ligen, Feng Liang, Yunping Li, et al.. (2016). Desmoteplase for Acute Ischemic Stroke within 3 to 9 Hours after Symptom Onset: Evidence from Randomized Controlled Trials. Scientific Reports. 6(1). 33989–33989. 5 indexed citations
19.
Wu, Xueyan, Yuting Hu, Lei Guo, et al.. (2015). Effect of pentobarbital and isoflurane on acute stress response in rat. Physiology & Behavior. 145. 118–121. 41 indexed citations
20.
Chen, Sheng, Ligen Shi, Feng‐Xia Liang, et al.. (2015). Exogenous Melatonin for Delirium Prevention: a Meta-analysis of Randomized Controlled Trials. Molecular Neurobiology. 53(6). 4046–4053. 60 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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