Exploring the Convergence of Artificial Intelligence and Biotechnology: A Global Bibliometric Analysis from 2000 to 2025

Abstract

The convergence of artificial intelligence (AI) and biotechnology is revolutionizing scientific research and innovation, enabling transformative applications across healthcare, agriculture, and environmental sustainability. This study presents a comprehensive bibliometric analysis of global research at the intersection of biotechnology and AI from 2000 to 2025. The objective is to evaluate publication trends, identify prolific authors and institutions, map collaborative networks, and highlight emerging research themes shaping the field. Data were retrieved from the Dimensions.ai database, filtered for articles indexed in Scopus and Web of Science, using a well-defined set of keywords. For analysis, we utilized VOSviewer (v1.6.20) and R programming (via the Bibliometrix package, version 2024.12.1, with the Biblioshiny interface) to perform quantitative assessments and generate visualizations of co-authorship, country-wise contributions, citation networks, and keyword co-occurrences. The results reveal a sharp increase in publications—particularly after 2016—with the United States, China, and the United Kingdom leading in output and international collaboration. Influential institutions include Harvard University, the Chinese Academy of Sciences, and MIT. Keyword analysis highlights key research domains such as precision medicine, CRISPR-based gene editing, AI-assisted drug discovery, and integrative bioinformatics. Network visualizations show dynamic collaboration clusters and evolving research foci, transitioning from early bioinformatics work to contemporary applications in personalized medicine and clinical diagnostics. Importantly, the inclusion of data up to 2025 reveals new research directions that were underrepresented in previous bibliometric studies, including AI integration in sustainable bioprocessing, bioethics-aware clinical decision models, and environmental biotechnology. These emerging trends underscore the rapid evolution of the field and highlight the need for a current and forward-looking bibliometric perspective. This study emphasizes the importance of cross-border collaborations and calls for robust ethical and regulatory frameworks to ensure responsible innovation. The findings offer valuable insights for researchers, funding agencies, and policymakers aiming to support and guide future advancements in this transformative domain.

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