Lingli Liang

2.9k total citations
57 papers, 2.2k citations indexed

About

Lingli Liang is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Lingli Liang has authored 57 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Physiology, 21 papers in Cellular and Molecular Neuroscience and 19 papers in Molecular Biology. Recurrent topics in Lingli Liang's work include Pain Mechanisms and Treatments (39 papers), Nerve injury and regeneration (11 papers) and Hereditary Neurological Disorders (6 papers). Lingli Liang is often cited by papers focused on Pain Mechanisms and Treatments (39 papers), Nerve injury and regeneration (11 papers) and Hereditary Neurological Disorders (6 papers). Lingli Liang collaborates with scholars based in China, United States and Taiwan. Lingli Liang's co-authors include Yuan‐Xiang Tao, Alex Bekker, Brianna Marie Lutz, Shaogen Wu, Jian‐Yuan Zhao, Kai Mo, Fidelis E. Atianjoh, Xiyao Gu, Yu‐Qiu Zhang and Vinod Tiwari and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Neuron.

In The Last Decade

Lingli Liang

54 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingli Liang China 26 1.4k 841 772 245 239 57 2.2k
Bao‐Chun Jiang China 24 1.2k 0.9× 622 0.7× 660 0.9× 206 0.8× 183 0.8× 49 2.1k
Guang‐Yin Xu China 26 867 0.6× 501 0.6× 511 0.7× 119 0.5× 149 0.6× 104 2.0k
Rui‐Ping Pang China 21 806 0.6× 584 0.7× 433 0.6× 231 0.9× 164 0.7× 32 1.7k
Rou‐Gang Xie China 23 903 0.7× 597 0.7× 604 0.8× 82 0.3× 132 0.6× 49 1.7k
De‐Li Cao China 21 1.0k 0.7× 436 0.5× 589 0.8× 170 0.7× 151 0.6× 30 1.7k
Michał Korostyński Poland 30 833 0.6× 821 1.0× 853 1.1× 97 0.4× 268 1.1× 91 2.5k
Madhuvika Murugan United States 26 984 0.7× 580 0.7× 966 1.3× 80 0.3× 138 0.6× 44 2.9k
Ohannes K. Melemedjian United States 24 1.0k 0.8× 703 0.8× 631 0.8× 57 0.2× 201 0.8× 35 2.0k
Gregory J. Michael United Kingdom 23 939 0.7× 815 1.0× 1.0k 1.3× 222 0.9× 159 0.7× 35 2.3k
Han‐Rong Weng United States 33 1.8k 1.3× 752 0.9× 967 1.3× 49 0.2× 244 1.0× 57 3.0k

Countries citing papers authored by Lingli Liang

Since Specialization
Citations

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

Fields of papers citing papers by Lingli Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingli Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingli Liang. A scholar is included among the top collaborators of Lingli 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 Lingli Liang. Lingli 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.
Tian, Lixia, Xu‐Hui Li, Yulong Zhao, et al.. (2024). DNMT3a Downregulation Ttriggered Upregulation of GABAA Receptor in the mPFC Promotes Paclitaxel‐Induced Pain and Anxiety in Male Mice. Advanced Science. 12(5). e2407387–e2407387. 2 indexed citations
2.
Zhu, Xuan, Siyi Liu, Xingyu Liu, et al.. (2024). Enhanced interleukin-16-CD4 signaling in CD3 T cell mediates neuropathic pain via activating astrocytes in female mice. Neuropharmacology. 259. 110115–110115. 2 indexed citations
3.
4.
Zhao, Yulong, et al.. (2024). Activation of 5-HT6 Receptors in the Ventrolateral Orbital Cortex Produces Anti-Anxiodepressive Effects in a Rat Model of Neuropathic Pain. Molecular Neurobiology. 62(1). 1136–1150. 1 indexed citations
5.
Zhou, Xiaoqiong, Hong Cheng, Lixia Tian, et al.. (2023). CoREST1 in primary sensory neurons regulates neuropathic pain in male mice. Life Sciences. 332. 122088–122088. 4 indexed citations
6.
Zhao, Yulong, Jialiang Xu, Xuemei Hou, et al.. (2023). Activation of 5-HT5A receptor in the ventrolateral orbital cortex produces antinociceptive effects in rat models of neuropathic and inflammatory pain. Neuropharmacology. 245. 109830–109830. 2 indexed citations
7.
Liu, Siyi, Xuan Zhu, Xi Zhang, et al.. (2023). Spinal apolipoprotein E is involved in inflammatory pain via regulating lipid metabolism and glial activation in the spinal dorsal horn. Biology Direct. 18(1). 85–85. 5 indexed citations
8.
Liu, Siyi, Lixia Tian, Xuan Zhu, et al.. (2022). Lysine-specific demethylase 1 in primary sensory neurons participates in chronic compression of dorsal root ganglion–induced neuropathic pain. Brain Research Bulletin. 191. 30–39. 4 indexed citations
9.
Liu, Siyi, Xiaoqiong Zhou, Xuan Zhu, et al.. (2022). Nerve injury-induced upregulation of apolipoprotein E in dorsal root ganglion participates in neuropathic pain in male mice. Neuropharmacology. 224. 109372–109372. 8 indexed citations
10.
11.
Tao, Jun, et al.. (2021). Factors Affecting the Re-Endothelialization of Endothelial Progenitor Cell. DNA and Cell Biology. 40(7). 1009–1025. 2 indexed citations
12.
Tao, Jun, et al.. (2020). Interaction Between microRNA and DNA Methylation in Atherosclerosis. DNA and Cell Biology. 40(1). 101–115. 24 indexed citations
13.
Tiwari, Vinod, Shao-Qiu He, Qian Huang, et al.. (2019). Activation of µ-δ opioid receptor heteromers inhibits neuropathic pain behavior in rodents. Pain. 161(4). 842–855. 51 indexed citations
14.
Liang, Lingli, Jun Zhang, Lixia Tian, et al.. (2019). AXL signaling in primary sensory neurons contributes to chronic compression of dorsal root ganglion-induced neuropathic pain in rats. Molecular Pain. 16. 2225704590–2225704590. 10 indexed citations
15.
Liang, Lingli, et al.. (2019). Paclitaxel Induces Sex-biased Behavioral Deficits and Changes in Gene Expression in Mouse Prefrontal Cortex. Neuroscience. 426. 168–178. 29 indexed citations
16.
Wang, Shuo, Siyi Liu, Linping Xu, et al.. (2019). The upregulation of EGFR in the dorsal root ganglion contributes to chronic compression of dorsal root ganglions-induced neuropathic pain in rats. Molecular Pain. 15. 2225661073–2225661073. 24 indexed citations
17.
Zhao, Jian‐Yuan, Lingli Liang, Xiyao Gu, et al.. (2017). DNA methyltransferase DNMT3a contributes to neuropathic pain by repressing Kcna2 in primary afferent neurons. Nature Communications. 8(1). 14712–14712. 153 indexed citations
18.
Wu, Ying, Beiyan Zou, Lingli Liang, et al.. (2017). Loperamide inhibits sodium channels to alleviate inflammatory hyperalgesia. Neuropharmacology. 117. 282–291. 16 indexed citations
19.
Li, Zhisong, Yuanyuan Mao, Lingli Liang, et al.. (2017). The transcription factor C/EBPβ in the dorsal root ganglion contributes to peripheral nerve trauma–induced nociceptive hypersensitivity. Science Signaling. 10(487). 55 indexed citations
20.
Liang, Lingli, et al.. (2013). Protein Kinase B/Akt Is Required for Complete Freund's Adjuvant-Induced Upregulation of Nav1.7 and Nav1.8 in Primary Sensory Neurons. Journal of Pain. 14(6). 638–647. 46 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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