Global Emerging Trends of Neural Regeneration Knowledge Structures Using Bibliometrics and Visual Analytics based on...

Area of Science:

• Neuroscience and Biomedical Engineering
• Regenerative Medicine

Background:

• Neural regeneration research is a complex and evolving field.
• A systematic bibliometric analysis was lacking to map its landscape.
• This study addresses the need for a comprehensive overview of current knowledge and trends.

Purpose of the Study:

• To conduct a bibliometric analysis of neural regeneration research.
• To identify emerging research trends and significant topics.
• To provide insights into the field's current state and future directions.

Main Methods:

• Analysis of 3,941 documents from the Web of Science Core Collection (2015-2024).
• Utilized CiteSpace and VOSviewer for bibliometric analysis.
• Focused on country/institution collaboration, keyword co-occurrence, and hotspot evolution.

Main Results:

• A fluctuating but upward trend in publications from 2015-2024.
• China and the United States are the leading research contributors.
• Research hotspots include neural electrical stimulation, biomaterial scaffolds, gene editing, and neural modulation.

Conclusions:

• The field is characterized by increasing research investment and focus.
• Technological advancements in neural simulation and analytical tools are key drivers.
• Societal demand for AI and neurotechnology innovations fuels progress in neural regeneration.