A bibliometric analysis on studies of nanomedicine applications in head and neck squamous cell carcinoma

5Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

Background: Bibliometric analysis highlights the pivotal studies and topics that have shaped the understanding and management of a disease in its designated field. Herein, original articles on the applications of nanotechnology in head and neck squamous cell carcinoma (HNSCC) were characterized and analyzed. Methods: A comprehensive search was carried out using a bibliometric methodology, and eligible articles on nanomedicine research in HNSCC were retrieved from the Scopus database. Results: A total of 309 eligible articles were retrieved, and the total citation count was 7,468. An ascending trend in citation count was observed since 2004, which increased substantially between 2014 and 2019. There were 144 (52.7%) original articles on oral cavity carcinomas. Chemotherapy (n=53, 19.4%), chemoprevention (n=35, 11.3%), and photodynamic therapy (n=23, 8.4%) were the three most published topics on the applications of nanotechnology in the therapy of HNSCC. Sentinel node detection (n=25, 9.2%) and noninvasive cancer diagnosis (n=22, 8.1%) were the two most published topics in the diagnostic area of HNSCC. A vast majority of these articles were preclinical studies, and only four articles (1.5%) were phase I/II clinical studies on chemotherapy and radiotherapy. Conclusions: To the best of our knowledge, this is the first study to analyze the bibliometric characteristics of original articles on nanomedicine in HNSCC. The results of this study not only provide a historical perspective on the scientific evolution in this field, but also revealed the trends and key topics within it that may help facilitate further research.

Cite

CITATION STYLE

APA

Gao, X., Wang, S., Tian, Z., Wu, Y., & Liu, W. (2021). A bibliometric analysis on studies of nanomedicine applications in head and neck squamous cell carcinoma. Translational Cancer Research, 10(1), 251–260. https://doi.org/10.21037/tcr-20-2852

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free