Jing-Xia Hao

984 total citations
10 papers, 809 citations indexed

About

Jing-Xia Hao is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jing-Xia Hao has authored 10 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jing-Xia Hao's work include Pain Mechanisms and Treatments (8 papers), Ion channel regulation and function (5 papers) and Neuropeptides and Animal Physiology (3 papers). Jing-Xia Hao is often cited by papers focused on Pain Mechanisms and Treatments (8 papers), Ion channel regulation and function (5 papers) and Neuropeptides and Animal Physiology (3 papers). Jing-Xia Hao collaborates with scholars based in Sweden, Estonia and Switzerland. Jing-Xia Hao's co-authors include Xiao-Jun Xu, Zsuzsanna Wiesenfeld‐Hallin, Ursel Soomets, Ülo Langel, Mattias Hällbrink, Margus Pooga, Andres Valkna, Külliki Saar, Tomas Hökfelt and Ulrika Kahl and has published in prestigious journals such as Nature Biotechnology, Brain Research and Pain.

In The Last Decade

Jing-Xia Hao

10 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing-Xia Hao Sweden 9 525 306 218 74 63 10 809
Xiao-Jun Xu Sweden 8 552 1.1× 360 1.2× 326 1.5× 30 0.4× 64 1.0× 8 891
Steven Tait United Kingdom 12 529 1.0× 155 0.5× 917 4.2× 96 1.3× 30 0.5× 18 1.5k
Arto Palkama Finland 18 348 0.7× 159 0.5× 244 1.1× 36 0.5× 17 0.3× 53 887
Phyllis Bieri United States 9 305 0.6× 84 0.3× 243 1.1× 30 0.4× 38 0.6× 13 780
José Terrado Spain 15 261 0.5× 83 0.3× 175 0.8× 27 0.4× 60 1.0× 33 584
Yanping Wang China 11 261 0.5× 66 0.2× 238 1.1× 63 0.9× 30 0.5× 25 574
Jason Pinkstaff United States 11 417 0.8× 148 0.5× 277 1.3× 13 0.2× 51 0.8× 19 834
Michele Curcio Italy 10 284 0.5× 97 0.3× 335 1.5× 52 0.7× 37 0.6× 12 687
Hung‐Wei Kan Taiwan 14 247 0.5× 166 0.5× 108 0.5× 13 0.2× 62 1.0× 22 562
Rhiannon J. Wood Australia 15 169 0.3× 104 0.3× 197 0.9× 35 0.5× 22 0.3× 23 553

Countries citing papers authored by Jing-Xia Hao

Since Specialization
Citations

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

Fields of papers citing papers by Jing-Xia Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing-Xia Hao. 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 Jing-Xia Hao. The network helps show where Jing-Xia Hao may publish in the future.

Co-authorship network of co-authors of Jing-Xia Hao

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

All Works

10 of 10 papers shown
1.
Hao, Jing-Xia, et al.. (2003). The very-high-efficacy 5-HT1A receptor agonist, F 13640, preempts the development of allodynia-like behaviors in rats with spinal cord injury. European Journal of Pharmacology. 478(2-3). 131–137. 34 indexed citations
2.
Hao, Jing-Xia, et al.. (2002). Response characteristics of cutaneous mechanoreceptors in neuropathic rats. Neuroscience Letters. 317(2). 89–92. 6 indexed citations
3.
Hao, Jing-Xia, Ted Ebendal, Xiao-Jun Xu, Zsuzsanna Wiesenfeld‐Hallin, & Maria Eriksdotter. (2000). Intracerebroventricular infusion of nerve growth factor induces pain-like response in rats. Neuroscience Letters. 286(3). 208–212. 43 indexed citations
4.
Hao, Jing-Xia, et al.. (1999). Intrathecal adenosine does not relieve allodynia-like behavior in spinally injured rats. Neuroreport. 10(15). 3247–3251. 12 indexed citations
5.
Hao, Jing-Xia, Wei Yu, & Xiaohan Xu. (1998). Evidence that spinal endogenous opioidergic systems control the expression of chronic pain-related behaviors in spinally injured rats. Experimental Brain Research. 118(2). 259–268. 28 indexed citations
6.
Sjölund, Karl‐Fredrik, et al.. (1998). Intrathecal administration of the adenosine A1 receptor agonist R-phenylisopropyl adenosine reduces presumed pain behaviour in a rat model of central pain. Neuroscience Letters. 243(1-3). 89–92. 43 indexed citations
7.
Pooga, Margus, Ursel Soomets, Mattias Hällbrink, et al.. (1998). Cell penetrating PNA constructs regulate galanin receptor levels and modify pain transmission in vivo. Nature Biotechnology. 16(9). 857–861. 446 indexed citations
8.
Yu, Wei, et al.. (1997). The development of morphine tolerance and dependence in rats with chronic pain. Brain Research. 756(1-2). 141–146. 38 indexed citations
10.
Hao, Jing-Xia, et al.. (1991). The excitatory amino acid receptor antagonist MK-801 prevents the hypersensitivity induced by spinal cord ischemia in the rat. Experimental Neurology. 113(2). 182–191. 48 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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