Yingxia Liang

555 total citations
23 papers, 406 citations indexed

About

Yingxia Liang is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yingxia Liang has authored 23 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 10 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yingxia Liang's work include Alzheimer's disease research and treatments (10 papers), Pain Mechanisms and Treatments (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Yingxia Liang is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Pain Mechanisms and Treatments (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Yingxia Liang collaborates with scholars based in China, United States and Germany. Yingxia Liang's co-authors include Can Zhang, Rudolph E. Tanzi, Zhao Shu-jin, Kai Liu, Xulun Zhang, Hongjie Zhang, Sangram S. Sisodia, Yao Sun, Se Hoon Choi and Rui Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and The Journal of Experimental Medicine.

In The Last Decade

Yingxia Liang

22 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingxia Liang China 12 180 163 79 66 58 23 406
Wenxia Zheng China 14 284 1.6× 81 0.5× 75 0.9× 59 0.9× 27 0.5× 25 610
Lucia Buccarello Italy 11 127 0.7× 62 0.4× 42 0.5× 30 0.5× 23 0.4× 15 330
Arianna Amato Italy 6 82 0.5× 122 0.7× 39 0.5× 48 0.7× 75 1.3× 12 312
Theofanis Vavilis Greece 8 253 1.4× 52 0.3× 58 0.7× 36 0.5× 30 0.5× 19 543
Sonja Rittchen Austria 8 181 1.0× 127 0.8× 33 0.4× 75 1.1× 14 0.2× 13 455
Shizheng Wu China 10 88 0.5× 79 0.5× 61 0.8× 56 0.8× 23 0.4× 22 459
Wenbo Kang China 12 128 0.7× 59 0.4× 34 0.4× 39 0.6× 34 0.6× 17 353
Inho Hwang South Korea 11 179 1.0× 84 0.5× 99 1.3× 13 0.2× 37 0.6× 25 409
Sha Liu China 13 175 1.0× 120 0.7× 46 0.6× 38 0.6× 29 0.5× 29 487
Víctor J. Asensio Spain 11 228 1.3× 74 0.5× 64 0.8× 43 0.7× 19 0.3× 17 519

Countries citing papers authored by Yingxia Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yingxia Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxia Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingxia Liang. A scholar is included among the top collaborators of Yingxia Liang 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 Yingxia Liang. Yingxia Liang 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.
Zhang, Zhiyu, et al.. (2024). Neuroplasticity in the transition from acute to chronic pain. Neurotherapeutics. 21(6). e00464–e00464. 10 indexed citations
2.
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Zhang, Tian, et al.. (2023). CCL17 Blockade by CCL17mAb/GSK-J4 Ameliorates Hyperalgesia in a Rat Model of Postoperative Pain. Biological and Pharmaceutical Bulletin. 46(4). 533–541.
5.
Liang, Yingxia, David Y.W. Lee, Haoqi Sun, et al.. (2022). Natural medicine HLXL targets multiple pathways of amyloid-mediated neuroinflammation and immune response in treating alzheimer's disease. Phytomedicine. 104. 154158–154158. 7 indexed citations
6.
Zhang, Siyi, Ping Bai, Dan Lei, et al.. (2022). Degradation and inhibition of epigenetic regulatory protein BRD4 exacerbate Alzheimer’s disease-related neuropathology in cell models. Journal of Biological Chemistry. 298(4). 101794–101794. 18 indexed citations
7.
Dodiya, Hemraj B., Holly L. Lutz, Priyam Patel, et al.. (2021). Gut microbiota–driven brain Aβ amyloidosis in mice requires microglia. The Journal of Experimental Medicine. 219(1). 77 indexed citations
8.
Zhang, Xulun, Can Zhang, Dmitry Prokopenko, et al.. (2021). An APP ectodomain mutation outside of the Aβ domain promotes Aβ production in vitro and deposition in vivo. The Journal of Experimental Medicine. 218(6). 15 indexed citations
9.
Xu, Yulong, Hsiao‐Ying Wey, Yingxia Liang, et al.. (2021). Molecular imaging of NAD+‐dependent deacetylase SIRT1 in the brain. Alzheimer s & Dementia. 17(12). 1988–1997. 3 indexed citations
10.
Xu, Yulong, Changning Wang, Hsiao‐Ying Wey, et al.. (2020). Molecular imaging of Alzheimer’s disease–related gamma-secretase in mice and nonhuman primates. The Journal of Experimental Medicine. 217(12). 26 indexed citations
11.
Feng, Hao, et al.. (2020). TSPO Ligands PK11195 and Midazolam Reduce NLRP3 Inflammasome Activation and Proinflammatory Cytokine Release in BV-2 Cells. Frontiers in Cellular Neuroscience. 14. 544431–544431. 22 indexed citations
12.
Liang, Yingxia, Frank Raven, Joseph Ward, et al.. (2020). Upregulation of Alzheimer’s Disease Amyloid-β Protein Precursor in Astrocytes Both in vitro and in vivo. Journal of Alzheimer s Disease. 76(3). 1071–1082. 21 indexed citations
13.
Liang, Yingxia, et al.. (2019). Necrostatin-1 Ameliorates Peripheral Nerve Injury-Induced Neuropathic Pain by Inhibiting the RIP1/RIP3 Pathway. Frontiers in Cellular Neuroscience. 13. 211–211. 27 indexed citations
14.
Wan, Yu, Yingxia Liang, Feng Liang, et al.. (2019). A Curcumin Analog Reduces Levels of the Alzheimer’s Disease-Associated Amyloid-β Protein by Modulating AβPP Processing and Autophagy. Journal of Alzheimer s Disease. 72(3). 761–771. 19 indexed citations
15.
Liang, Yingxia, et al.. (2019). The high-affinity IgG receptor FcγRI modulates peripheral nerve injury-induced neuropathic pain in rats. Molecular Brain. 12(1). 83–83. 8 indexed citations
16.
Ma, Chao, Juanjuan Su, Yao Sun, et al.. (2019). Significant Upregulation of Alzheimer's β‐Amyloid Levels in a Living System Induced by Extracellular Elastin Polypeptides. Angewandte Chemie International Edition. 58(51). 18703–18709. 42 indexed citations
17.
Liang, Yingxia, et al.. (2015). Antinociceptive Effect of Najanalgesin from Naja Naja Atra in a Neuropathic Pain Model via Inhibition of c-Jun NH2-terminal Kinase. Chinese Medical Journal. 128(17). 2340–2345. 9 indexed citations
18.
Liang, Yingxia, et al.. (2012). Behavioral and Morphological Evidence for the Involvement of Glial Cells in the Antinociceptive Effect of Najanalgesin in a Rat Neuropathic Pain Model. Biological and Pharmaceutical Bulletin. 35(6). 850–854. 10 indexed citations
19.
Liang, Yingxia, et al.. (2009). Peripheral and spinal antihyperalgesic activity of najanalgesin isolated from Naja naja atra in a rat experimental model of neuropathic pain. Neuroscience Letters. 460(3). 191–195. 11 indexed citations
20.
Liang, Yingxia, et al.. (2008). Purification and characterization of a novel antinociceptive toxin from Cobra venom (Naja naja atra). Toxicon. 52(5). 638–646. 27 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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