Literature DB >> 32406145

Bibliometric analysis of breast cancer research in the period 2009-2018.

İlgun Özen Çınar1.   

Abstract

AIM: The aim of this study was to carry out a bibliometric analysis of breast cancer studies in the field of nursing conducted between 2009 and 2018 and to reveal the trends, dynamics and scientific outputs in the field.
METHODS: A bibliometric analysis was performed using CiteSpace II software to determine the characteristics of research incorporated in the international citation indexes and published in breast cancer research in the context of nursing studies. In the Web of Science database, the subjects of breast cancer and nursing were selected, and a total of 2,734 articles published in the last decade were reviewed.
RESULTS: There was an increase in the number of publications after 2014. The United States had the highest level of country collaborations and the highest degree of centrality. The most densely researched topic in the largest subject cluster was breast cancer. The most commonly used keywords were breast cancer, quality of life and women.
CONCLUSION: Breast cancer research in the field of nursing has increased in the last decade, and the United States ranked first in terms of publications in this nursing field.
© 2020 John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  bibliometric analysis; breast cancer; nursing

Year:  2020        PMID: 32406145     DOI: 10.1111/ijn.12845

Source DB:  PubMed          Journal:  Int J Nurs Pract        ISSN: 1322-7114            Impact factor:   2.066


  4 in total

Review 1.  Tocotrienols as an Anti-Breast Cancer Agent.

Authors:  Madison Trujillo; Anupreet Kharbanda; Christa Corley; Pilar Simmons; Antiño R Allen
Journal:  Antioxidants (Basel)       Date:  2021-08-29

Review 2.  Advances in Breast Cancer Management and Extracellular Vesicle Research, a Bibliometric Analysis.

Authors:  Ramon Handerson Gomes Teles; Rafael Sussumu Yano; Nicolas Jones Villarinho; Ana Sayuri Yamagata; Ruy Gastaldoni Jaeger; Patrick Meybohm; Malgorzata Burek; Vanessa Morais Freitas
Journal:  Curr Oncol       Date:  2021-11-08       Impact factor: 3.677

3.  A bibliometric analysis of the top 100 most cited papers and research trends in breast cancer related BRCA1 and BRCA2 genes.

Authors:  Shadi Alkhayyat; Muhammad Khan; Tauseef Ahmad; Huma Tariq; Mukhtiar Baig
Journal:  Medicine (Baltimore)       Date:  2022-09-23       Impact factor: 1.817

4.  Deep Learning on Histopathology Images for Breast Cancer Classification: A Bibliometric Analysis.

Authors:  Siti Shaliza Mohd Khairi; Mohd Aftar Abu Bakar; Mohd Almie Alias; Sakhinah Abu Bakar; Choong-Yeun Liong; Nurwahyuna Rosli; Mohsen Farid
Journal:  Healthcare (Basel)       Date:  2021-12-22
  4 in total

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