Mapping Intellectual Structure and Research Performance for the Nanoparticles in Pancreatic Cancer Field

Xuan Zhu; Qingquan Kong; Xing Niu; Lijie Chen; Chunlin Ge

doi:10.2147/IJN.S253599

Mapping Intellectual Structure and Research Performance for the Nanoparticles in Pancreatic Cancer Field

Int J Nanomedicine. 2020 Aug 5:15:5503-5516. doi: 10.2147/IJN.S253599. eCollection 2020.

Authors

Xuan Zhu^{1

2

3}, Qingquan Kong², Xing Niu⁴, Lijie Chen⁴, Chunlin Ge¹

Affiliations

¹ Department of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, People's Republic of China.
² Institute of Translational Medicine, China Medical University, Shenyang, Liaoning 110122, People's Republic of China.
³ Anshan Hospital, The First Affiliated Hospital of China Medical University, Anshan, Liaoning 114011, People's Republic of China.
⁴ Department of Second Clinical College, Shengjing Hospital Affiliated to China Medical University, Shenyang 110004, Liaoning, People's Republic of China.

Abstract

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: CiteSpace; Web of Science; co-citation analysis; co-word analysis; nanoparticles; pancreatic cancer.

MeSH terms

Bibliometrics
Biomedical Research / statistics & numerical data*
China
Cluster Analysis
Drug Delivery Systems / methods
Humans
Nanoparticles / therapeutic use*
Nanotechnology
Pancreatic Neoplasms / drug therapy*
Serial Publications / statistics & numerical data*
Software
United States

Grants and funding

This work was funded by Natural Science Foundation of Liaoning Province (2020-BS-283) and the project was funded by China Postdoctoral Science Foundation (2020M670818).