{"doi":"10.3389/fnmol.2023.1142852","title":"Bibliometric and visual analysis of microglia-related neuropathic pain from 2000 to 2021","abstract":"Background Microglia has gradually gained researchers’ attention in the past few decades and has shown its promising prospect in treating neuropathic pain. Our study was performed to comprehensively evaluate microglia-related neuropathic pain via a bibliometric approach. Methods We retrospectively reviewed publications focusing on microglia-related neuropathic pain from 2000 to 2021 in WoSCC. VOS viewer software and CiteSpace software were used for statistical analyses. Results A total of 2,609 articles were finally included. A steady increase in the number of relevant publications was observed in the past two decades. China is the most productive country, while the United States shares the most-cited and highest H-index country. The University of London, Kyushu University, and the University of California are the top 3 institutions with the highest number of publications. Molecular pain and Pain are the most productive and co-cited journals, respectively. Inoue K (Kyushu University) is the most-contributed researcher and Ji RR (Duke University) ranks 1st in both average citations per article and H -index. Keywords analyses revealed that pro-inflammatory cytokines shared the highest burst strength. Sex differences, neuroinflammation, and oxidative stress are the emerging keywords in recent years. Conclusion In the field of microglia-related neuropathic pain, China is the largest producer and the United States is the most influential country. The signaling communication between microglia and neurons has continued to be vital in this field. Sexual dimorphism, neuroinflammation, and stem-cell therapies might be emerging trends that should be closely monitored.","journal":"Frontiers in Molecular Neuroscience","year":2023,"id":363963,"datarank":0.5219124604963801,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"self_citation_contribution":0.31191623125197543,"citation_network_contribution":0.2099962292444047,"self_endowment_contribution":0.31191623125197543,"citer_contribution":0.2099962292444047,"corpus_percentile":62.89935793300843,"corpus_rank":4797,"citation_count":7,"citer_count":7,"citers_with_citation_signal":6,"citers_with_endowment":6,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5053,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":4.1667,"fair_percentile":4.891470498318557,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1118714,"name":"Guanghai Zhao","orcid":null,"position":1,"is_corresponding":false},{"id":1118715,"name":"Tian-Run Lv","orcid":null,"position":2,"is_corresponding":false},{"id":1118356,"name":"Chaoyang Gong","orcid":"0000-0003-4942-6822","position":3,"is_corresponding":false},{"id":1118357,"name":"Yongqiang Shi","orcid":"0000-0001-6603-0323","position":4,"is_corresponding":false},{"id":1118716,"name":"Wei Nan","orcid":null,"position":5,"is_corresponding":false},{"id":1118358,"name":"Haihong Zhang","orcid":"0000-0003-3765-1942","position":6,"is_corresponding":false},{"id":1118713,"name":"Shun-Bai Zhang","orcid":null,"position":0,"is_corresponding":true}],"reference_count":135,"raw_metadata":null,"created_at":"2026-07-19T01:14:32.510714Z","pmid":"37273906","pmcid":"PMC10233022","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":11.1111,"fair_a":12.5,"fair_i":0.0,"fair_r":16.6667,"fair_zscore":-1.1986,"fair_rationale":{"fair_score":4.17,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":11.11,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.","grounded":true,"rationale":"No persistent identifier or accession is provided for the raw data.","anchors":["RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit","RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier'","FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.","grounded":true,"rationale":"No repository is named; 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For chemistry / materials data, deposit in Zenodo, PubChem or the Cambridge Structural Database (CSD).","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.","why":"No persistent identifier or accession is provided for the raw data.","gain":16.67,"priority":"essential","scored":true},{"key":"f_repository_named","dimension":"F","label":"Named repository","action":"Deposit the data in a repository registered in re3data/FAIRsharing (a domain repository such as GEO, SRA, dbGaP, PRIDE, or a generalist such as Zenodo, Dryad, Dataverse) and name it explicitly in the paper. A lab website is not an archive: it has no retention commitment and no accession. 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