Xu‐Hong Wei

2.0k total citations
42 papers, 1.7k citations indexed

About

Xu‐Hong Wei is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Xu‐Hong Wei has authored 42 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Physiology, 18 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Xu‐Hong Wei's work include Pain Mechanisms and Treatments (36 papers), Neuroscience and Neuropharmacology Research (9 papers) and Botulinum Toxin and Related Neurological Disorders (8 papers). Xu‐Hong Wei is often cited by papers focused on Pain Mechanisms and Treatments (36 papers), Neuroscience and Neuropharmacology Research (9 papers) and Botulinum Toxin and Related Neurological Disorders (8 papers). Xu‐Hong Wei collaborates with scholars based in China, United States and Hong Kong. Xu‐Hong Wei's co-authors include Xian‐Guo Liu, Wen‐Jun Xin, Ying Zang, Yongyong Li, Rui‐Ping Pang, Li‐Jun Zhou, Changyou Wu, Ji‐Tian Xu, Wenjie Ren and Zhihai Qin and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Xu‐Hong Wei

40 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu‐Hong Wei China 24 1.2k 657 342 252 215 42 1.7k
Ying Zang China 19 1.0k 0.9× 586 0.9× 342 1.0× 155 0.6× 247 1.1× 26 1.5k
Daniel Vardeh United States 9 970 0.8× 441 0.7× 321 0.9× 182 0.7× 187 0.9× 11 1.5k
Andrew Moss United Kingdom 19 911 0.8× 645 1.0× 384 1.1× 250 1.0× 181 0.8× 22 1.6k
Paul J. Austin Australia 17 1000 0.9× 548 0.8× 196 0.6× 191 0.8× 210 1.0× 39 1.5k
Zhi-Ye Zhuang United States 9 1.3k 1.1× 854 1.3× 359 1.0× 250 1.0× 198 0.9× 10 1.7k
Yeong‐Ray Wen Taiwan 21 1.7k 1.5× 873 1.3× 412 1.2× 311 1.2× 230 1.1× 55 2.6k
Wenrui Xie United States 30 1.5k 1.3× 795 1.2× 526 1.5× 148 0.6× 256 1.2× 54 2.1k
Ruth Drdla-Schutting Austria 12 1.1k 0.9× 692 1.1× 378 1.1× 217 0.9× 104 0.5× 17 1.4k
Rui‐Ping Pang China 21 806 0.7× 433 0.7× 584 1.7× 155 0.6× 162 0.8× 32 1.7k
Katarzyna Popiołek-Barczyk Poland 20 929 0.8× 529 0.8× 329 1.0× 386 1.5× 270 1.3× 28 1.6k

Countries citing papers authored by Xu‐Hong Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xu‐Hong Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xu‐Hong Wei. 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 Xu‐Hong Wei. The network helps show where Xu‐Hong Wei may publish in the future.

Co-authorship network of co-authors of Xu‐Hong Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xu‐Hong Wei. A scholar is included among the top collaborators of Xu‐Hong Wei 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 Xu‐Hong Wei. Xu‐Hong Wei 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
2.
Wei, Xu‐Hong, et al.. (2024). Physiology education in China: the current situation and changes over the past 3 decades. BMC Medical Education. 24(1). 408–408. 2 indexed citations
3.
Han, Shuang, et al.. (2023). MiR-184-5p represses neuropathic pain by regulating CCL1/CCR8 signaling interplay in the spinal cord in diabetic mice. Neurological Research. 46(1). 54–64. 4 indexed citations
4.
Su, Minzhi, et al.. (2023). Activation of the bile acid receptors TGR5 and FXR in the spinal dorsal horn alleviates neuropathic pain. CNS Neuroscience & Therapeutics. 29(7). 1981–1998. 15 indexed citations
5.
Wang, Wei, Feng Gao, Ruixian Guo, et al.. (2019). Activation of liver x receptors prevents the spinal LTP induced by skin/muscle retraction in the thigh via SIRT1/NF-Κb pathway. Neurochemistry International. 128. 106–114. 8 indexed citations
6.
Wang, Wei, Yongyong Li, Ruixian Guo, et al.. (2018). Rostral ventromedial medulla‐mediated descending facilitation following P2X7 receptor activation is involved in the development of chronic post‐operative pain. Journal of Neurochemistry. 149(6). 760–780. 22 indexed citations
8.
Liu, Xian‐Guo, Rui‐Ping Pang, Li‐Jun Zhou, Xu‐Hong Wei, & Ying Zang. (2016). Neuropathic Pain: Sensory Nerve Injury or Motor Nerve Injury?. Advances in experimental medicine and biology. 904. 59–75. 21 indexed citations
9.
Xu, Jing, et al.. (2015). Bulleyaconitine A depresses neuropathic pain and potentiation at C-fiber synapses in spinal dorsal horn induced by paclitaxel in rats. Experimental Neurology. 273. 263–272. 28 indexed citations
10.
Zang, Ying, Shaoxia Chen, Xu‐Hong Wei, et al.. (2014). Calpain-2 contributes to neuropathic pain following motor nerve injury via up-regulating interleukin-6 in DRG neurons. Brain Behavior and Immunity. 44. 37–47. 36 indexed citations
11.
Wu, Ying, Xiaodong Na, Ying Zang, et al.. (2014). Upregulation of tumor necrosis factor-alpha in nucleus accumbens attenuates morphine-induced rewarding in a neuropathic pain model. Biochemical and Biophysical Research Communications. 449(4). 502–507. 54 indexed citations
12.
Wei, Xu‐Hong, Wei Xiao, Fengying Chen, et al.. (2013). The Upregulation of Translocator Protein (18 kDa) Promotes Recovery from Neuropathic Pain in Rats. Journal of Neuroscience. 33(4). 1540–1551. 79 indexed citations
14.
Wei, Xu‐Hong, Tao Yang, Wen‐Jun Xin, et al.. (2012). Peri-sciatic administration of recombinant rat IL-1β induces mechanical allodynia by activation of src-family kinases in spinal microglia in rats. Experimental Neurology. 234(2). 389–397. 33 indexed citations
15.
Wei, Xu‐Hong, Xiaodong Na, Qiuying Chen, et al.. (2012). The up-regulation of IL-6 in DRG and spinal dorsal horn contributes to neuropathic pain following L5 ventral root transection. Experimental Neurology. 241. 159–168. 83 indexed citations
16.
Ren, Wenjie, Yong Liu, Li‐Jun Zhou, et al.. (2011). Peripheral Nerve Injury Leads to Working Memory Deficits and Dysfunction of the Hippocampus by Upregulation of TNF-α in Rodents. Neuropsychopharmacology. 36(5). 979–992. 200 indexed citations
17.
Cui, Yu, Yue Cui, Yu Chen, et al.. (2011). Activation of p38 signaling in the microglia in the nucleus accumbens contributes to the acquisition and maintenance of morphine-induced conditioned place preference. Brain Behavior and Immunity. 26(2). 318–325. 67 indexed citations
18.
Zang, Ying, Xi Chen, Rui‐Ping Pang, et al.. (2010). TNF-α contributes to up-regulation of Nav1.3 and Nav1.8 in DRG neurons following motor fiber injury. Pain. 151(2). 266–279. 144 indexed citations
19.
20.
Xu, Ji‐Tian, Wen‐Jun Xin, Xu‐Hong Wei, et al.. (2006). p38 activation in uninjured primary afferent neurons and in spinal microglia contributes to the development of neuropathic pain induced by selective motor fiber injury. Experimental Neurology. 204(1). 355–365. 99 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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