Unveiling the Research Landscape and Emerging Trends in Cell Cycle for Cancer Immunotherapy: A Bibliometric Analysis (1990-2022). BACKGROUND The direct and indirect roles of the cell cycle in immunology of the tumor microenvironment (TME) are topics of intense scientific interest.  Therefore, this study aimed to investigate the knowledge domain and hotspots related to the cell cycle for cancer immunology applications.  MATERIAL AND METHODS The Web of Science Core Collection (WoSCC) was used as a powerful tool for identifying articles related to cell cycle for cancer immunology applications.  Co-occurrence relationships were examined with R, VOSviewer, and CiteSpace software.  Related research hotspots and possible future trends were also examined.  RESULTS A total of 1844 qualified English-language documents were obtained in WoSCC between 1999 and 2022, with a 7.66% annual growth rate.  These eligible studies were co-authored by 2246 institutions in 51 countries/regions, with the greatest article number being published in the United States (36%, 664/1844), followed by China (19%, 351/1844) and Germany (4.5%, 83/1844).  The top 3 institutions with the most publications and the top 3 academic journals (n=390 in total) on this topic that published the most articles were identified.  Key nodes from the co-cited network were aggregated and identified to reveal the shift in cell cycle for cancer immunology applications.  Notably, the current research hotspots in this field include "tumor progression", "chemotherapy", "resistance", "clinical trial", and "target population".  CONCLUSIONS This study revealed field profiles, research hotspots, and future directions of cell cycle dysregulation-related immunology, and the findings will offer a vigorous roadmap for further studies in the combination therapy of cell cycle inhibitors and immune checkpoint inhibitors for treating various cancers.  Our results can shed more light on relevant research in this field.
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Co-occurrence relationships were examined with R, VOSviewer, and CiteSpace software. 
VOSviewer
Co-occurrence relationships were examined with R, VOSviewer, and CiteSpace software. 
CiteSpace