Microorganism research advances from a novel bibliometric method

Abstract

Microorganisms have a significant impact on human life, with harmful microorganisms causing diseases such as lung infections and urinary tract infections, while beneficial ones are used for applications like pollutant removal and microbial fuel cell energy generation. A deep understanding of microorganisms is essential for advancing scientific knowledge. Recent research on microorganisms is crucial, and traditional methods such as VOSviewer have been commonly used for bibliometric analysis. In this study, a novel approach is applied to analyze 38,470 articles, providing far more comprehensive information than VOSviewer. The results successfully visualize and identify the latest research findings on microorganisms, while also highlighting the promising future direction of integrating big data and machine learning into microbiology. This innovative approach offers significant potential to accelerate progress in the field, enabling more efficient and accurate microbial research applications.