2022
DOI: 10.1016/j.jconrel.2022.03.031
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Bibliometric and visualized analysis of ocular drug delivery from 2001 to 2020

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Cited by 103 publications
(66 citation statements)
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“…However, a comprehensive and intuitive analysis of the evolution and trend of HA in the treatment of OA by a bibliometric analysis is still lacking. Bibliometric analysis is an important quantitative analysis method for the published papers on a specific topic, which has been widely used in various fields, including mathematics, artificial intelligence, economics and clinical medicine ( Chen et al, 2021 ; Gurnani and Kaur, 2021 ; Peng et al, 2022 ). In this study, we used a bibliometric approach to scientifically quantify and quantitatively analyze published articles on HA for the treatment of OA in the WoSCC database from 1 January 2002 to 31 December 2021.…”
Section: Introductionmentioning
confidence: 99%
“…However, a comprehensive and intuitive analysis of the evolution and trend of HA in the treatment of OA by a bibliometric analysis is still lacking. Bibliometric analysis is an important quantitative analysis method for the published papers on a specific topic, which has been widely used in various fields, including mathematics, artificial intelligence, economics and clinical medicine ( Chen et al, 2021 ; Gurnani and Kaur, 2021 ; Peng et al, 2022 ). In this study, we used a bibliometric approach to scientifically quantify and quantitatively analyze published articles on HA for the treatment of OA in the WoSCC database from 1 January 2002 to 31 December 2021.…”
Section: Introductionmentioning
confidence: 99%
“…The clustered keywords in Clusters 1–4 reflect the four research hot spots in this field. For Cluster 1 (nanoparticulate systems for delivering drugs with anti-SARS-CoV-2 activity), typical keywords included: “nanoparticles,” “inhibition,” “drug-delivery,” and “antiviral activity.” For Cluster 2, (nanotechnology for rapid and quantitative SARS-CoV-2 detection), typical keywords included: “gold nanoparticles,” “diagnosis,” “rapid detection,” and “biosensor.” For Cluster 3 (nanovaccines against SARS-CoV-2 delivered by lipid nanoparticles), typical keywords included: “COVID-19,” “nanotechnology,” “vaccine,” and “lipid nanoparticles.” For Cluster 4 (screening antibodies for SARS-CoV-2 neutralization on the basis of viral structure), typical keywords included: “SARS-CoV-2,” “coronavirus,” “spike protein,” and “antibodies.” The closed-loop network suggested that the four hot spots could have overlap [47] . Furthermore, according to the data shown in Fig.…”
Section: Keyword Co-occurrencementioning
confidence: 99%
“…Discussion on this area is beyond the scope of this paper. Comprehensive reviews by Akhter et al and others ( Akhter et al, 2022 ; Peng et al, 2022 ).…”
Section: Introductionmentioning
confidence: 99%