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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

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A Bibliometric Analysis on the Risk Factors of Cancer.

Shan Chen¹, Yuanzhao Ding²

¹Science of Learning in Education Centre, National Institute of Education, Nanyang Technological University, Singapore.

Genes, Chromosomes & Cancer

|January 21, 2025

Summary

This study identifies key cancer risk factors using advanced R programming for bibliometric analysis. It categorizes factors into environmental and genetic, enhancing cancer research and prevention strategies.

Keywords:

R studio bibliometric analysis cancer research web of science

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Area of Science:

Oncology
Epidemiology
Bibliometrics

Background:

Cancer's high lethality necessitates identifying risk factors.
Epidemiology and cancer research require robust risk factor identification methods.

Purpose of the Study:

To identify key cancer risk factors and their underlying mechanisms using bibliometric analysis.
To compare a novel R-based bibliometric method with traditional tools.

Main Methods:

Bibliometric analysis of 1000 articles from Web of Science.
Utilized R programming (tidytext, tidy tools) for data analysis.
Analyzed publication quantity, frequency, and keyword co-occurrences.

Main Results:

Identified key exogenous (environmental, lifestyle) and endogenous (genetic, hormonal) cancer risk factors.
Demonstrated the superiority of the R-based bibliometric approach for comprehensive analysis.

Conclusions:

The study provides a comprehensive overview of cancer risk factors and their mechanisms.
The novel R-based bibliometric method offers enhanced capabilities for cancer research.