Long-Qing Zhang

758 total citations
23 papers, 524 citations indexed

About

Long-Qing Zhang is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Long-Qing Zhang has authored 23 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Long-Qing Zhang's work include Pain Mechanisms and Treatments (13 papers), Adipose Tissue and Metabolism (5 papers) and Pharmacological Effects of Natural Compounds (4 papers). Long-Qing Zhang is often cited by papers focused on Pain Mechanisms and Treatments (13 papers), Adipose Tissue and Metabolism (5 papers) and Pharmacological Effects of Natural Compounds (4 papers). Long-Qing Zhang collaborates with scholars based in China, United Kingdom and Taiwan. Long-Qing Zhang's co-authors include Ya‐Qun Zhou, Wei Mei, Jiayi Wu, Shao‐Jie Gao, Jia Sun, Dai-Qiang Liu, Danyang Li, Fan‐He Song, Yuke Tian and Xuebi Tian and has published in prestigious journals such as Brain Research, Neuroscience and European Journal of Pharmacology.

In The Last Decade

Long-Qing Zhang

23 papers receiving 521 citations

Peers

Long-Qing Zhang
Huadong Ni China
Xueshu Tao China
Sara González‐Rodríguez Spain
Luigino Antonio Giancotti United States
Yan Ping Zhang China
Ya Huang China
Deren Hou China
Huadong Ni China
Long-Qing Zhang
Citations per year, relative to Long-Qing Zhang Long-Qing Zhang (= 1×) peers Huadong Ni

Countries citing papers authored by Long-Qing Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Long-Qing Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long-Qing Zhang. 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 Long-Qing Zhang. The network helps show where Long-Qing Zhang may publish in the future.

Co-authorship network of co-authors of Long-Qing Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Long-Qing Zhang. A scholar is included among the top collaborators of Long-Qing Zhang 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 Long-Qing Zhang. Long-Qing Zhang 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.
Dai, Xinyi, Wenlu Song, Jiayi Wu, et al.. (2025). The role of PGC-1α in brain injury: mechanisms and therapeutic potential. 1 indexed citations
2.
Li, Danyang, Lin Liu, Dai-Qiang Liu, et al.. (2025). Mitochondrial calcium overload contributes to mechanical allodynia in neuropathic pain via inducing mitochondrial dynamic imbalance. International Immunopharmacology. 158. 114863–114863. 2 indexed citations
3.
Wu, Hong, Jiayi Wu, Shao‐Jie Gao, et al.. (2025). Resveratrol: Harnessing Nature's Potential for Chronic Pain Relief. Aging and Disease. 0–0. 1 indexed citations
4.
Li, Danyang, Long-Qing Zhang, Shao‐Jie Gao, et al.. (2025). Administration of 2-deoxy-D-glucose alleviates cancer-induced bone pain by suppressing microglial polarization to the M1 phenotype and neuroinflammation. Molecular Pain. 21. 834550058–834550058. 1 indexed citations
5.
Song, Fan‐He, Shao‐Jie Gao, Jiayi Wu, et al.. (2024). Peroxisome proliferator-activated receptor gamma: A promising therapeutic target for the treatment of chronic pain. Brain Research. 1850. 149366–149366. 2 indexed citations
6.
Dai, Xinyi, Fan‐He Song, Shao‐Jie Gao, et al.. (2024). Matrix metalloproteinases as attractive therapeutic targets for chronic pain: A narrative review. International Journal of Biological Macromolecules. 261(Pt 1). 129619–129619. 6 indexed citations
7.
Wu, Jiayi, Fan‐He Song, Shao‐Jie Gao, et al.. (2024). Regulation of states of consciousness by supramammillary nucleus glutamatergic neurones during sevoflurane anaesthesia in mice. British Journal of Anaesthesia. 134(2). 425–440. 1 indexed citations
8.
Dai, Xinyi, Lin Liu, Fan‐He Song, et al.. (2023). Targeting the JAK2/STAT3 signaling pathway for chronic pain. Aging and Disease. 15(1). 186–186. 22 indexed citations
9.
Gao, Shao‐Jie, Danyang Li, Dai-Qiang Liu, et al.. (2023). Interleukin-17: A Putative Novel Pharmacological Target for PathologicalPain. Current Neuropharmacology. 22(2). 204–216. 7 indexed citations
10.
Li, Danyang, Shao‐Jie Gao, Jia Sun, et al.. (2022). Notch signaling activation contributes to paclitaxel-induced neuropathic pain via activation of A1 astrocytes. European Journal of Pharmacology. 928. 175130–175130. 14 indexed citations
11.
Sun, Jia, Fan‐He Song, Jiayi Wu, et al.. (2022). Sestrin2 overexpression attenuates osteoarthritis pain via induction of AMPK/PGC-1α-mediated mitochondrial biogenesis and suppression of neuroinflammation. Brain Behavior and Immunity. 102. 53–70. 76 indexed citations
12.
Zhang, Long-Qing, Shao‐Jie Gao, Jia Sun, et al.. (2022). DKK3 ameliorates neuropathic pain via inhibiting ASK-1/JNK/p-38-mediated microglia polarization and neuroinflammation. Journal of Neuroinflammation. 19(1). 129–129. 83 indexed citations
13.
Zhou, Ya‐Qun, Wei Mei, Danyang Li, et al.. (2022). Targeting the nitric oxide/cGMP signaling pathway to treat chronic pain. Neural Regeneration Research. 18(5). 996–996. 29 indexed citations
14.
Ge, Meng-Meng, Danyang Li, Lu Wang, et al.. (2022). Naringenin promoted spinal microglia M2 polarization in rat model of cancer-induced bone pain via regulating AMPK/PGC-1α signaling axis. Biomedicine & Pharmacotherapy. 149. 112912–112912. 28 indexed citations
15.
16.
Zhang, Long-Qing, Ya‐Qun Zhou, Jiayan Li, et al.. (2022). 5-HT1F Receptor Agonist Ameliorates Mechanical Allodynia in Neuropathic Pain via Induction of Mitochondrial Biogenesis and Suppression of Neuroinflammation. Frontiers in Pharmacology. 13. 20 indexed citations
17.
Zhang, Long-Qing, Wen Zhang, Ting Li, et al.. (2021). GLP-1R activation ameliorated novel-object recognition memory dysfunction via regulating hippocampal AMPK/NF-κB pathway in neuropathic pain mice. Neurobiology of Learning and Memory. 182. 107463–107463. 39 indexed citations
18.
Sun, Jia, Jiayan Li, Long-Qing Zhang, et al.. (2021). Nrf2 Activation Attenuates Chronic Constriction Injury‐Induced Neuropathic Pain via Induction of PGC‐1α‐Mediated Mitochondrial Biogenesis in the Spinal Cord. Oxidative Medicine and Cellular Longevity. 2021(1). 9577874–9577874. 41 indexed citations
19.
Zhang, Wen, Bingrui Xiong, Long-Qing Zhang, et al.. (2021). The Role of the GABAergic System in Diseases of the Central Nervous System. Neuroscience. 470. 88–99. 59 indexed citations
20.
Sun, Jia, Ya‐Qun Zhou, Bingyang Xu, et al.. (2021). STING/NF-κB/IL-6-Mediated Inflammation in Microglia Contributes to Spared Nerve Injury (SNI)-Induced Pain Initiation. Journal of Neuroimmune Pharmacology. 17(3-4). 453–469. 61 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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