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Updated: Sep 19, 2026

The Sciatic Nerve Cuffing Model of Neuropathic Pain in Mice
Published on: July 16, 2014
Synaptic plasticity in affective comorbidities of neuropathic pain: a bibliometric analysis based on WoSCC and PubMed
Hao Wang1, Lanting Huang1, Zhigang Lin2,3
1First Clinical Medical College, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Objective:
Neuropathic pain (NP) is frequently accompanied by anxiety and depression, creating a vicious cycle that impairs quality of life. Synaptic plasticity-particularly long-term potentiation (LTP) and long-term depression (LTD)-is increasingly recognized as a shared neural substrate linking NP to affective comorbidities. This bibliometric analysis maps the research landscape at this intersection.
Methods:
Data were retrieved from the Web of Science Core Collection (January 1, 2003, to December 31, 2025) and PubMed (2003 to 2025). After deduplication and eligibility screening, a total of 487 unique publications were identified. Citation metrics and visualization analyses were performed using VOSviewer, CiteSpace, and Bibliometrix.
Results:
Publication output has grown steadily since 2003, peaking in 2025 (43 studies). China leads in publication count (180), while the United States holds the highest citation impact (9,723 citations; 64.82 per study). Air Force Medical University and the Xi'an Jiaotong University are core institutions. PAIN (24 studies) and Journal of Neuroscience (22 studies) are the leading journals. Keyword and co-citation analyses indicate that research themes have undergone a phased transition from spinal cord mechanisms to limbic circuits, and then to the comorbidity mechanisms of pain and affective comorbidities, with a gradual shift toward clinical translation.
Conclusion:
This bibliometric analysis maps a field advancing from single-region synaptic mechanisms toward multi-region circuit integration, with growing contributions from immunology. Persistent gaps in sex-difference characterization and longitudinal study design mark priorities for future investigation. As a descriptive exercise bounded by two databases, these findings should be weighed accordingly.
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