Xue‐Jun Song

8.4k total citations · 1 hit paper
74 papers, 5.6k citations indexed

About

Xue‐Jun Song is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Xue‐Jun Song has authored 74 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Physiology, 36 papers in Cellular and Molecular Neuroscience and 19 papers in Molecular Biology. Recurrent topics in Xue‐Jun Song's work include Pain Mechanisms and Treatments (56 papers), Neuropeptides and Animal Physiology (15 papers) and Botulinum Toxin and Related Neurological Disorders (13 papers). Xue‐Jun Song is often cited by papers focused on Pain Mechanisms and Treatments (56 papers), Neuropeptides and Animal Physiology (15 papers) and Botulinum Toxin and Related Neurological Disorders (13 papers). Xue‐Jun Song collaborates with scholars based in China, United States and Denmark. Xue‐Jun Song's co-authors include Robert H. LaMotte, Jun‐Ming Zhang, Nanna Brix Finnerup, Perri R. Tutelman, Bonnie Stevens, Stephen J. Gibson, Milton Cohen, Mark D. Sullivan, Takahiro Ushida and Kyle Vader and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Xue‐Jun Song

71 papers receiving 5.5k citations

Hit Papers

The revised International Association for the Study of Pa... 2020 2026 2022 2024 2020 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The revised International Association for the Study of Pain definition of pain: concepts, challenges, and compromises
    2020 2.6k citations Xue‐Jun Song et al. Pain profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xue‐Jun Song China 33 2.7k 1.5k 1.3k 1.0k 642 74 5.6k
Matthias Ringkamp United States 32 3.3k 1.2× 1.2k 0.9× 1.2k 0.9× 686 0.7× 631 1.0× 56 6.4k
Andrea G. Nackley United States 31 2.4k 0.9× 934 0.6× 1.3k 1.0× 886 0.9× 482 0.8× 67 5.8k
J.A. Micó Spain 44 2.7k 1.0× 2.2k 1.5× 1.9k 1.5× 1.3k 1.2× 553 0.9× 164 7.4k
Timothy J. Ness United States 49 4.0k 1.5× 1.2k 0.8× 1.5k 1.1× 520 0.5× 784 1.2× 169 7.6k
Alexander Yassouridis Germany 49 1.6k 0.6× 1.4k 1.0× 1.3k 1.0× 841 0.8× 310 0.5× 170 8.8k
Isabelle Décosterd Switzerland 39 5.1k 1.9× 3.2k 2.2× 1.2k 0.9× 2.0k 2.0× 443 0.7× 71 7.5k
David P. Finn Ireland 47 2.5k 0.9× 2.3k 1.6× 3.2k 2.5× 818 0.8× 298 0.5× 191 7.6k
Perry N. Fuchs United States 31 2.3k 0.8× 983 0.7× 2.0k 1.5× 414 0.4× 438 0.7× 85 5.2k
Karen Lund Canada 12 2.4k 0.9× 785 0.5× 846 0.6× 555 0.5× 613 1.0× 21 3.8k
Simon Beggs Canada 36 3.8k 1.4× 2.8k 1.9× 522 0.4× 1.4k 1.3× 275 0.4× 53 6.6k

Countries citing papers authored by Xue‐Jun Song

Since Specialization
Citations

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

Fields of papers citing papers by Xue‐Jun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue‐Jun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xue‐Jun Song. A scholar is included among the top collaborators of Xue‐Jun Song 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 Xue‐Jun Song. Xue‐Jun Song 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.
2.
Song, Xue‐Jun. (2024). The role of KCC2 in recovery of consciousness from anesthesia. SHILAP Revista de lepidopterología. 2(1).
3.
Song, Xue‐Jun, et al.. (2024). Neurobiological basis of emergence from anesthesia. Trends in Neurosciences. 47(5). 355–366. 7 indexed citations
4.
Liao, Huabao, et al.. (2023). Emergence of consciousness from anesthesia through ubiquitin degradation of KCC2 in the ventral posteromedial nucleus of the thalamus. Nature Neuroscience. 26(5). 751–764. 23 indexed citations
5.
Li, Cheng, et al.. (2023). Characterization of Inflammatory Signals in BV-2 Microglia in Response to Wnt3a. Biomedicines. 11(4). 1121–1121. 8 indexed citations
6.
Miao, Bei, et al.. (2022). Differential Activation of pERK1/2 and c-Fos Following Injury to Different Regions of Primary Sensory Neuron. Life. 12(5). 752–752. 2 indexed citations
7.
Yang, Shaomin, et al.. (2021). Distinct Gene Expression Patterns of Ion Channels and Cytokines in Rat Primary Sensory Neurons During Development of Bone Cancer and Cancer Pain. Frontiers in Molecular Neuroscience. 14. 665085–665085. 10 indexed citations
8.
Liu, Su, et al.. (2019). IFNβ Treatment Inhibits Nerve Injury-induced Mechanical Allodynia and MAPK Signaling By Activating ISG15 in Mouse Spinal Cord. Journal of Pain. 21(7-8). 836–847. 18 indexed citations
9.
10.
Deng, Xueting, Pingchuan Ma, Zehua Li, et al.. (2016). Inhibition of YAP/TAZ Activity in Spinal Cord Suppresses Neuropathic Pain. Journal of Neuroscience. 36(39). 10128–10140. 28 indexed citations
11.
Zhang, Yankai, Zhi‐Jiang Huang, Su Liu, et al.. (2013). WNT signaling underlies the pathogenesis of neuropathic pain in rodents. Journal of Clinical Investigation. 123(5). 2268–2286. 176 indexed citations
12.
13.
Liu, Wentao, Yuan Han, Yuepeng Liu, et al.. (2010). Spinal Matrix Metalloproteinase-9 Contributes to Physical Dependence on Morphine in Mice. Journal of Neuroscience. 30(22). 7613–7623. 59 indexed citations
14.
Jiang, Shan, Bei Miao, Xue‐Jun Song, & Zheng‐Lin Jiang. (2010). Inactivation of GABAA receptor reduces ginsenoside Rb3 neuroprotection in mouse hippocampal slices after oxygen–glucose deprivation. Journal of Ethnopharmacology. 133(2). 914–916. 18 indexed citations
15.
Cao, Hong, et al.. (2009). Effect of curcumin on diabetic neuropathic pain in rats. Zhonghua mazuixue zazhi. 29(7). 626–629. 1 indexed citations
16.
17.
Cao, Jun‐Li, Xuehai Guan, Qi Bao, et al.. (2008). Activation of peripheral ephrinBs/EphBs signaling induces hyperalgesia through a MAPKs-mediated mechanism in mice. Pain. 139(3). 617–631. 35 indexed citations
18.
Song, Xue‐Jun, et al.. (2006). Spinal Manipulation Reduces Pain and Hyperalgesia After Lumbar Intervertebral Foramen Inflammation in the Rat. Journal of Manipulative and Physiological Therapeutics. 29(1). 5–13. 52 indexed citations
19.
Zheng, Jihong & Xue‐Jun Song. (2005). A??-afferents activate neurokinin-1 receptor in dorsal horn neurons after nerve injury. Neuroreport. 16(7). 715–719. 6 indexed citations
20.
Song, Xue‐Jun, et al.. (2003). Onset and recovery of hyperalgesia and hyperexcitability of sensory neurons following intervertebral foramen volume reduction and restoration. Journal of Manipulative and Physiological Therapeutics. 26(7). 426–436. 23 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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Breakdown of academic impact, for papers by Matthias Ringkamp Breakdown of academic impact, for papers by Andrea G. Nackley Breakdown of academic impact, for papers by J.A. Micó Breakdown of academic impact, for papers by Timothy J. Ness Breakdown of academic impact, for papers by Alexander Yassouridis Breakdown of academic impact, for papers by Isabelle Décosterd Breakdown of academic impact, for papers by David P. Finn Breakdown of academic impact, for papers by Perry N. Fuchs Breakdown of academic impact, for papers by Karen Lund Breakdown of academic impact, for papers by Simon Beggs
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