Xidao Wang

3.2k total citations · 4 hit papers
18 papers, 2.4k citations indexed

About

Xidao Wang is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Xidao Wang has authored 18 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Xidao Wang's work include Pain Mechanisms and Treatments (14 papers), Nerve injury and regeneration (4 papers) and Ion channel regulation and function (4 papers). Xidao Wang is often cited by papers focused on Pain Mechanisms and Treatments (14 papers), Nerve injury and regeneration (4 papers) and Ion channel regulation and function (4 papers). Xidao Wang collaborates with scholars based in United States, Australia and Germany. Xidao Wang's co-authors include Allan I. Basbaum, Carlos Solórzano, Joao Bráz, Robert H. Edwards, Rebecca P. Seal, Srinivasa N. Raja, Yun Guan, C. Jeffery Woodbury, Zhonghui Guan and Ferda Cevikbas and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Xidao Wang

18 papers receiving 2.4k citations

Hit Papers

A sensory neuron–expressed IL-31 receptor mediates T help... 2013 2026 2017 2021 2013 2015 2014 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xidao Wang United States 13 1.3k 818 604 599 330 18 2.4k
Steve Davidson United States 21 660 0.5× 402 0.5× 603 1.0× 305 0.5× 240 0.7× 44 1.6k
Sergey G. Khasabov United States 21 1.0k 0.8× 486 0.6× 394 0.7× 299 0.5× 215 0.7× 46 1.7k
Junichi Hachisuka Japan 16 504 0.4× 419 0.5× 413 0.7× 245 0.4× 143 0.4× 28 1.2k
Joao Bráz United States 23 2.1k 1.6× 1.4k 1.8× 190 0.3× 660 1.1× 293 0.9× 39 3.0k
Steeve Bourane France 15 677 0.5× 556 0.7× 186 0.3× 393 0.7× 152 0.5× 22 1.4k
Shuohao Sun United States 8 386 0.3× 236 0.3× 298 0.5× 214 0.4× 391 1.2× 10 998
Tasuku Akiyama United States 26 934 0.7× 326 0.4× 2.1k 3.4× 280 0.5× 477 1.4× 70 2.7k

Countries citing papers authored by Xidao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xidao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xidao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xidao Wang. A scholar is included among the top collaborators of Xidao 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 Xidao Wang. Xidao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Bratkowski, Matthew, Thomas C. Burdett, Jean Danao, et al.. (2022). Uncompetitive, adduct-forming SARM1 inhibitors are neuroprotective in preclinical models of nerve injury and disease. Neuron. 110(22). 3711–3726.e16. 40 indexed citations
2.
Wang, Xidao, et al.. (2019). Mispositioned Neurokinin-1 Receptor-Expressing Neurons Underlie Heat Hyperalgesia inDisabled-1Mutant Mice. eNeuro. 6(3). ENEURO.0131–19.2019. 2 indexed citations
3.
Cevikbas, Ferda, João M. Bráz, Xidao Wang, et al.. (2017). Synergistic antipruritic effects of gamma aminobutyric acid A and B agonists in a mouse model of atopic dermatitis. Journal of Allergy and Clinical Immunology. 140(2). 454–464.e2. 32 indexed citations
4.
Bráz, Joao, Julia Kuhn, Xidao Wang, et al.. (2016). Functional Synaptic Integration of Forebrain GABAergic Precursors into the Adult Spinal Cord. Journal of Neuroscience. 36(46). 11634–11645. 25 indexed citations
5.
Osteen, Jeremiah D., Volker Herzig, John M. Gilchrist, et al.. (2016). Selective spider toxins reveal a role for the Nav1.1 channel in mechanical pain. Nature. 534(7608). 494–499. 238 indexed citations breakdown →
6.
Bráz, Joao, Xidao Wang, Zhonghui Guan, John L.R. Rubenstein, & Allan I. Basbaum. (2015). Transplant-mediated enhancement of spinal cord GABAergic inhibition reverses paclitaxel-induced mechanical and heat hypersensitivity. Pain. 156(6). 1084–1091. 58 indexed citations
7.
Guan, Zhonghui, Julia Kuhn, Xidao Wang, et al.. (2015). Injured sensory neuron–derived CSF1 induces microglial proliferation and DAP12-dependent pain. Nature Neuroscience. 19(1). 94–101. 422 indexed citations breakdown →
8.
Bonasera, Stephen J., et al.. (2015). Mice Lacking Serotonin 2C Receptors Have increased Affective Responses to Aversive Stimuli. PLoS ONE. 10(12). e0142906–e0142906. 7 indexed citations
9.
Bráz, Joao, Carlos Solórzano, Xidao Wang, & Allan I. Basbaum. (2014). Transmitting Pain and Itch Messages: A Contemporary View of the Spinal Cord Circuits that Generate Gate Control. Neuron. 82(6). 1407–1407. 5 indexed citations
10.
Bráz, Joao, Carlos Solórzano, Xidao Wang, & Allan I. Basbaum. (2014). Transmitting Pain and Itch Messages: A Contemporary View of the Spinal Cord Circuits that Generate Gate Control. Neuron. 82(3). 522–536. 327 indexed citations breakdown →
11.
Huang, Fen, Xidao Wang, Eric Ostertag, et al.. (2013). TMEM16C facilitates Na+-activated K+ currents in rat sensory neurons and regulates pain processing. Nature Neuroscience. 16(9). 1284–1290. 103 indexed citations
12.
Cevikbas, Ferda, Xidao Wang, Tasuku Akiyama, et al.. (2013). A sensory neuron–expressed IL-31 receptor mediates T helper cell–dependent itch: Involvement of TRPV1 and TRPA1. Journal of Allergy and Clinical Immunology. 133(2). 448–460.e7. 558 indexed citations breakdown →
13.
Wang, Xidao, Jie Zhang, Derek E. Eberhart, et al.. (2013). Excitatory Superficial Dorsal Horn Interneurons Are Functionally Heterogeneous and Required for the Full Behavioral Expression of Pain and Itch. Neuron. 78(2). 312–324. 95 indexed citations
14.
Kong, Lingwei, Roy C.Y. Choi, Heidi Q. Xie, et al.. (2011). Expression of the IgSF protein Kirre in the rat central nervous system. Life Sciences. 88(13-14). 590–597. 2 indexed citations
15.
Scherrer, Grégory, Sarah Low, Xidao Wang, et al.. (2010). VGLUT2 expression in primary afferent neurons is essential for normal acute pain and injury-induced heat hypersensitivity. Proceedings of the National Academy of Sciences. 107(51). 22296–22301. 95 indexed citations
16.
Wang, Xidao, Joseline Ratnam, Bende Zou, Pamela M. England, & Allan I. Basbaum. (2009). TrkB Signaling Is Required for Both the Induction and Maintenance of Tissue and Nerve Injury-Induced Persistent Pain. Journal of Neuroscience. 29(17). 5508–5515. 74 indexed citations
17.
Seal, Rebecca P., Xidao Wang, Yun Guan, et al.. (2009). Injury-induced mechanical hypersensitivity requires C-low threshold mechanoreceptors. Nature. 462(7273). 651–655. 337 indexed citations
18.
Wang, Xidao, Yu‐Qiu Zhang, Lingwei Kong, et al.. (2005). RSEP1 is a novel gene with functional involvement in neuropathic pain behaviour. European Journal of Neuroscience. 22(5). 1090–1096. 7 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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