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了解胰腺癌领域中纳米颗粒的智能结构和研究性能
Authors Zhu X, Kong Q, Niu X, Chen L, Ge C
Received 12 March 2020
Accepted for publication 13 July 2020
Published 5 August 2020 Volume 2020:15 Pages 5503—5516
DOI https://doi.org/10.2147/IJN.S253599
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Mian Wang
Objective: To comprehensively analyze the global scientific outputs of nanoparticles in pancreatic cancer research.
Methods: Publications regarding the nanoparticles in pancreatic cancer research published from 1986 to 2019 were retrieved from the Web of Science Core Collection (WoSCC). Highly frequent keywords, publication years, journals, cited papers, cited journals and cited authors were identified using BICOMB software, and then a binary matrix and a co-word matrix were constructed. gCLUTO was used for double clustering of highly frequent journals. Co-citation analysis was performed using CiteSpace V software, including keywords, references, journals author or institution cooperation network.
Results: A total of 1171 publications were included in this study. Publications mainly came from 10 countries, led by the US (n=470) and China (n=349). Among the top 20 journals ranked by the number of citations, nanoscience nanotechnology was the leader with 300. Cluster analysis of citation network identified 12 co-citation clusters, headed by “stromal barrier” and “emerging inorganic nanomaterial”.
Conclusion: Our findings reveal the research performance and intellectual structure of the nanoparticles in pancreatic cancer research, which may help researchers understand the research trends and hotspots in this field.
Keywords: Web of Science, CiteSpace, pancreatic cancer, nanoparticles, co-citation analysis, co-word analysis
