Histopathological and Immunohistochemical Features of Oral Squamous Cell Carcinoma (OSCC) Based on PubMed database : A Scientometric Study
Abstract
Introduction
Information on the histopathology and immunohistochemistry of OSCC can contribute to better prognosis, diagnosis, and treatment of OSCC. This study examines the histopathology and immunohistochemistry of oral squamous cell carcinoma (OSCC) in publications indexed in the PubMed database from a scientometric perspective up to February 2024.
Materials and Methods
This scientometric study analyzed histopathology and immunohistochemistry studies on OSCC published in the PubMed database up to February 2024, using MeSH keywords. Studies that met exclusion criteria or had weak relevance to the study objectives were removed. Reference management was conducted using EndNote Basic, where duplicate references were identified and removed. All statistical analyses and chart visualizations were performed using the R software and the Bibliometrix package. Additionally, a bibliometric map was generated for further interpretation. Statistical analyses were conducted using open-source R software to achieve study objectives such as identifying top researchers, leading institutions, trending topics, and publication trends over the years.
Results
A total of 3,128 articles published between 1974 and 2023 were identified, appearing in 551 journals. These documents contained a total of 7,115 keywords. A total of 22,125 authors contributed to these publications. In total, 17 documents were single-author publications, while the rest were collaborative works. Based on the findings, an average of 7.07 authors contributed per document. The international collaboration rate among authors was found to be 69.9%.
Conclusion
The results indicate that more research, particularly animal studies, is needed on topics such as neoplasm invasiveness, disease progression, cell proliferation, gene expression regulation, and tumor cell lines.
Keywords: Oral Squamous Cell Carcinoma, Immunohistochemistry (IHC), Histopathology, Scientometrics