Jun‐Yang Wang

870 total citations
31 papers, 600 citations indexed

About

Jun‐Yang Wang is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Jun‐Yang Wang has authored 31 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 15 papers in Cellular and Molecular Neuroscience and 10 papers in Pharmacology. Recurrent topics in Jun‐Yang Wang's work include Pain Mechanisms and Treatments (20 papers), Neuropeptides and Animal Physiology (13 papers) and Pharmacological Effects of Natural Compounds (10 papers). Jun‐Yang Wang is often cited by papers focused on Pain Mechanisms and Treatments (20 papers), Neuropeptides and Animal Physiology (13 papers) and Pharmacological Effects of Natural Compounds (10 papers). Jun‐Yang Wang collaborates with scholars based in China, Sweden and Denmark. Jun‐Yang Wang's co-authors include Xiaoyan Zeng, Shui‐Ping Han, Yukang Yuan, Zhihong Wang, Yijie Guo, Jing‐Shi Tang, Chun-Wang Ma, Gaojie Liu, Karsten Ruscher and Qian Zhang and has published in prestigious journals such as Cell, Brain Research and Neuroscience.

In The Last Decade

Jun‐Yang Wang

26 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Yang Wang China 15 289 179 116 104 76 31 600
Tsuyoshi Matsuda Japan 12 167 0.6× 115 0.6× 40 0.3× 96 0.9× 32 0.4× 34 566
K. Imamura Japan 9 76 0.3× 153 0.9× 190 1.6× 95 0.9× 280 3.7× 17 552
Ernst Suidgeest Netherlands 15 87 0.3× 73 0.4× 77 0.7× 232 2.2× 48 0.6× 27 575
Robert P. Carson United States 19 202 0.7× 207 1.2× 32 0.3× 409 3.9× 64 0.8× 44 1.3k
Ung Gu Kang South Korea 15 81 0.3× 264 1.5× 28 0.2× 395 3.8× 37 0.5× 54 744
Giles S Kendall United Kingdom 18 252 0.9× 210 1.2× 47 0.4× 344 3.3× 90 1.2× 40 1.2k
A. Semke Russia 17 110 0.4× 125 0.7× 41 0.4× 195 1.9× 89 1.2× 87 811
Ángel Aledo‐Serrano Spain 15 132 0.5× 170 0.9× 119 1.0× 143 1.4× 82 1.1× 65 957
A. M. Mans United States 13 341 1.2× 216 1.2× 46 0.4× 201 1.9× 71 0.9× 18 837
Michael DePasquale United States 17 102 0.4× 343 1.9× 114 1.0× 393 3.8× 160 2.1× 32 1.0k

Countries citing papers authored by Jun‐Yang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Yang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Yang Wang. 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 Jun‐Yang Wang. The network helps show where Jun‐Yang Wang may publish in the future.

Co-authorship network of co-authors of Jun‐Yang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Yang Wang. A scholar is included among the top collaborators of Jun‐Yang Wang 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 Jun‐Yang Wang. Jun‐Yang Wang 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.
Yang, Zihan, Wei Mao, Jun‐Yang Wang, & Lixia Yin. (2025). The gut–lung axis in asthma: microbiota-driven mechanisms and therapeutic perspectives. Frontiers in Microbiology. 16. 1680521–1680521.
2.
Wang, Jun‐Yang, Qingning Wang, Zhiguo Wang, et al.. (2024). Mucus-inspired lubricative antibacterial coating to reduce airway complications in an intubation cynomolgus monkey model. Chinese Chemical Letters. 36(8). 110559–110559.
3.
Wang, Wentao, Fan Feng, Miaomiao Zhang, et al.. (2024). Red nucleus mGluR2 but not mGluR3 mediates inhibitory effect in the development of SNI-induced neuropathological pain by suppressing the expressions of TNF-α and IL-1β. Neurochemistry International. 179. 105840–105840. 1 indexed citations
4.
Tian, Xue, Wentao Wang, Miaomiao Zhang, et al.. (2024). Red nucleus mGluR1 and mGluR5 facilitate the development of neuropathic pain through stimulating the expressions of TNF-α and IL-1β. Neurochemistry International. 178. 105786–105786. 4 indexed citations
6.
Yang, Qingqing, Xue Tian, Fan Feng, et al.. (2022). Red Nucleus Interleukin-6 Evokes Tactile Allodynia in Male Rats Through Modulating Spinal Pro-inflammatory and Anti-inflammatory Cytokines. Frontiers in Molecular Neuroscience. 15. 820664–820664. 12 indexed citations
7.
Li, Haonan, Qingqing Yang, Wentao Wang, et al.. (2021). Red nucleus IL-33 facilitates the early development of mononeuropathic pain in male rats by inducing TNF-α through activating ERK, p38 MAPK, and JAK2/STAT3. Journal of Neuroinflammation. 18(1). 150–150. 28 indexed citations
8.
Yang, Jian, et al.. (2021). Molecular Characteristics and Drug Resistance of Mycobacterium tuberculosis Isolate Circulating in Shaanxi Province, Northwestern China. Microbial Drug Resistance. 27(9). 1207–1217. 3 indexed citations
9.
Guo, Yijie, et al.. (2017). Red nucleus interleukin-6 participates in the maintenance of neuropathic pain through JAK/STAT3 and ERK signaling pathways. Experimental Neurology. 300. 212–221. 33 indexed citations
10.
Yu, Jing, et al.. (2016). The Red Nucleus Interleukin-6 Participates in the Maintenance of Neuropathic Pain Induced by Spared Nerve Injury. Neurochemical Research. 41(11). 3042–3051. 20 indexed citations
11.
Wang, Jing, et al.. (2015). Dynamic distributions of tumor necrosis factor‐alpha and its receptors in the red nucleus of rats with spared nerve injury. Neuropathology. 36(4). 346–353. 9 indexed citations
12.
Zhang, Qian, Jing Yu, Jing Wang, et al.. (2015). The Red Nucleus TNF-α Participates in the Initiation and Maintenance of Neuropathic Pain Through Different Signaling Pathways. Neurochemical Research. 40(7). 1360–1371. 14 indexed citations
13.
Zeng, Xiaoyan, Qian Zhang, Jing Wang, et al.. (2014). Distinct role of tumor necrosis factor receptor subtypes 1 and 2 in the red nucleus in the development of neuropathic pain. Neuroscience Letters. 569. 43–48. 10 indexed citations
15.
Wang, Jun‐Yang, et al.. (2008). Mu-Opioid Receptor in the Nucleus Submedius: Involvement in Opioid-Induced Inhibition of Mirror-Image Allodynia in a Rat Model of Neuropathic Pain. Neurochemical Research. 33(10). 2134–2141. 10 indexed citations
16.
Li, Xiaoli, Jun‐Yang Wang, Zhihong Wang, et al.. (2008). Tumor necrosis factor-α of Red nucleus involved in the development of neuropathic allodynia. Brain Research Bulletin. 77(5). 233–236. 34 indexed citations
17.
Wang, Jun‐Yang, et al.. (2006). μ- but not δ- and κ-opioid receptor mediates the nucleus submedius interferon-α-evoked antinociception in the rat. Neuroscience Letters. 397(3). 254–258. 24 indexed citations
20.
Zhao, Mei, Jun‐Yang Wang, Hong Jia, & Jing‐Shi Tang. (2006). μ- but not δ- and κ-opioid receptors in the ventrolateral orbital cortex mediate opioid-induced antiallodynia in a rat neuropathic pain model. Brain Research. 1076(1). 68–77. 20 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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