Theme trends and knowledge structure on choroidal neovascularization: a quantitative and co-word analysis

Area of Science:

• Ophthalmology
• Bibliometrics
• Medical Research Analysis

Background:

• Choroidal neovascularization (CNV) research landscape requires comprehensive analysis.
• Understanding knowledge structure and distribution patterns is crucial for advancing CNV studies.

Purpose of the Study:

• To survey the distribution pattern and knowledge structure of choroidal neovascularization (CNV) research.
• To identify research hotspots and emerging trends in CNV literature.

Main Methods:

• Bibliometric analysis of 2366 CNV papers published from 2012 to 2017.
• Quantitative analysis of MeSH terms using BICOMB and hierarchical cluster analysis.
• Social network analysis (SNA) to map research collaborations and identify central components.

Main Results:

• Identified 44 high-frequency MeSH terms clustered into 6 main research categories.
• Clinical drug therapy, pathology, and diagnosis of CNV are well-developed research areas.
• Metabolism, etiology, genetics, and animal model research for CNV are relatively immature, indicating future research opportunities.

Conclusions:

• CNV research exhibits a divergent pattern with 6 identifiable research categories.
• This bibliometric study provides insights into publication trends and guides future research directions in CNV.
• Researchers can leverage these findings to identify new project opportunities and focus areas.