The intellectual base and research fronts of IL‐18: A bibliometric review of the literature from WoSCC (2012–2022)

Interleukin‐18 (IL‐18) is a vital pro‐inflammatory cytokine crucial for immune regulation. Despite its significance, bibliometric analysis in this field is lacking. This study aims to quantitatively and qualitatively assess IL‐18 research to construct its intellectual base and predict future hotspots. We conducted a thorough search on the Web of Science Core Collection for relevant publications between 1 January 2012 and 31 December 2022. English‐language articles and reviews were included. Visual analysis was performed using various tools including VOSviewer, Citespace, and Microsoft Excel. Our analysis covers interleukin‐18 (IL‐18) literature from 2012 to 2022, exploring research trends comprehensively. Key institutions like Yale University and Shanghai Jiao Tong University emerged as significant contributors. Prolific authors such as Kanneganti and Dinarello made notable contributions. Main focus areas included biology, medicine, and immunology. Co‐citation analysis highlighted influential works like Jianjin Shi. Hotspot keyword frequency cluster analysis revealed emerging themes like pyroptosis and psoriasis. Gene co‐occurrence clustering identified genes associated with immune regulation and inflammation. GO and KEGG pathway enrichment analysis provided insights into IL‐18‐related biological processes and pathways. Protein–protein interaction networks identified core proteins such as IL10 and TNF. Association disease analysis linked IL‐18 to various inflammatory, autoimmune, and metabolic disorders. This bibliometric review offers insights into IL‐18 research trends over the past decade, guiding future investigations and serving as a reference for researchers in this field. Clustered network map displaying the frequency of hotspot words related to IL‐18. VOSviewer software was used to conduct co‐occurrence cluster analysis on keywords, with a minimum occurrence frequency of five times per keyword. A total of 3279 keywords were cleaned, meaningless words were removed, synonyms were merged, and 171 keywords were selected and visualized on the map.