The Multimorbidity Knowledge Domain: A Bibliometric Analysis of Web of Science Literature from 2004 to 2024
Xiao Zheng, Lingli Yang, Xinyi Zhang, Chengyu Chen, Ting Zheng, Yuyang Li, Xiyan Li, Yanan Wang, Lijun Ma, Chichen Zhang

TL;DR
This study maps the growth and focus areas of multimorbidity research from 2004 to 2024, highlighting trends and key topics to guide future health strategies for aging populations.
Contribution
A comprehensive bibliometric analysis revealing five key research trajectories in multimorbidity studies over two decades.
Findings
Multimorbidity research has expanded globally, with the US, UK, Germany, China, and Spain as top contributors.
Five research trajectories emerged, including disease cluster management, health impact assessment shifts, and polypharmacy scholarship.
Current trends emphasize cardiometabolic multimorbidity and its links to dementia, suggesting new interdisciplinary research directions.
Abstract
Aim: With the intensification of population aging, the public health challenges posed by multimorbidity have become increasingly severe. This study employs bibliometric analysis to elucidate research hotspots and trends in the field of multimorbidity against the backdrop of global aging. The immediate aim is to systematically map the intellectual landscape and evolving patterns in multimorbidity research. The ultimate long-term aim is to provide a scientific basis for optimizing chronic disease prevention systems and guiding future research directions. Methods: The study adopted the descriptive research method and employed a bibliometric approach, analyzing 8129 publications related to multimorbidity from the Web of Science Core Collection. Using CiteSpace, we constructed and visualized several knowledge structures, including collaboration networks, keyword co-occurrence networks, burst…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsChronic Disease Management Strategies · Tuberculosis Research and Epidemiology
