Knowledge structure, latent topics, and emerging trends in quercetin-immunity research from 2006 to 2025: a bibliometric and LDA topic-modeling analysis
Abstract
Objective: Quercetin is a representative flavonol at the interface of natural-product pharmacology, nutrition, and immune regulation, with reported anti-inflammatory, antioxidant, antiviral, antiallergic, antitumor, and metabolic activities. This systematic mapping review aimed to characterize the publication trajectory, knowledge structure, latent themes, and emerging frontiers of quercetin-immunity research from 2006 to 2025.
Methods: English-language original articles and reviews published from January 1, 2006 to December 31, 2025 were retrieved from the Web of Science Core Collection, Scopus, and PubMed. Following harmonized eligibility reassessment, field standardization, and cross-database deduplication, bibliometric analysis, science mapping, keyword co-occurrence, temporal and burst analyses, thematic maturity assessment, citation and co-citation analyses, and latent Dirichlet allocation (LDA) topic modeling were integrated to examine the explicit and latent knowledge structures. Mapping-level risk of bias was qualitatively assessed.
Results: The searches yielded 15,938 raw records, of which 10,619 unique publications were included, comprising 7,754 original articles and 2,865 reviews. Of these, 6,440 publications appeared during 2021-2025, accounting for 60.65% of the dataset and demonstrating rapid growth. The field spanned natural products, pharmacology, molecular biology, nutrition, and immunology, with China, India, and the United States as the leading…
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