Year: 2025
Type: review
Abstract: Background: Inflammaging, defined as chronic low-grade inflammation associated with aging, is considered a key factor in many age-related diseases. Despite growing research, comprehensive assessments of trends and focuses on this field over the past 2 decades remain lacking. Objective: To comprehensively analyze literature development trends, scientific priorities, and their evolution in the field of inflammaging from 2005 to 2024 using bibliometric analysis. Methods: Academic literature on inflammaging was retrieved from the Web of Science Core Collection. CiteSpace software was used as the bibliometric tool to analyze annual publication trends, contributing countries/regions, leading research institutions, primary journals, and keyword co-occurrence, including clustering and burst analysis in this field. Results: The study included 1,800 eligible articles, demonstrating a consistent growth in research publications over the past 20 years. The United States and Italy were the principal contributors. The University of Bologna had the highest publication. Professor Claudio Franceschi has been a leading figure in this field. Journal analysis shows that research themes predominantly focus on molecular biology/immunology and medicine/clinical fields. Keyword analysis identifies major research hotspots as "inflammaging," "Crohn's disease," "periodontitis," "immunosenescence," "skeletal muscle," "gut microbiota," and "Parkinson's disease." Emerging term analysis indicates a shift from specific inflammatory diseases to broader aging and immune modulation studies. Conclusion: This first systematic assessment of literature trends in the field of inflammaging from 2005 to 2024 reveals sustained academic growth and an increasingly deep research focus.
Source: Frontiers in Aging
Authors: Beier Jiang, Yi-ni Dong, Yu Xiong, Chun-xia Jiang, Jun Ping, Qi Wu, Liu-jun Xu, Run-zhe Shu, Dan-dan Gao, Sheng-mei Zhu, Wei-dong Ye, Feng Zhang
Institution: Wenzhou Medical University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,077
OpenAlex ID: W4409344773
