01 December 2023: Database Analysis
Unveiling the Research Landscape and Emerging Trends in Cell Cycle for Cancer Immunotherapy: A Bibliometric Analysis (1990–2022)
Cheng Feng 1BCDE* , Yuan Li 1ABC* , Mengya Zang 2DF , E-er-man-bie-ke Jin-si-han 1BF , Meng He 3AE* , Zhenhai Lu 1AFG*DOI: 10.12659/MSM.940556
Med Sci Monit 2023; 29:e940556
Figure 8 Analysis on the keywords involved using R (4.2.2) package “bibliometrix” and CiteSpace (5.7.R5)(A) Bar diagram showing the top 20 most frequent keywords and Word cloud displaying the top most relevant keywords. (B) Treemap of keywords demonstrating the top most frequent keywords. (C) Network map of keywords related to the cancer cell cycle for immunology applications. (D) Map of keyword trend topics in articles related to the cancer cell cycle for immunology applications.