Global trends and collaborative networks in endocrinology research: A 2000-2023 co-authorship analysis

Context: Endocrinology plays a critical role in understanding hormonal systems that regulate metabolism, growth, and reproductive health. Global research in this field has surged in response to the rising prevalence of endocrine disorders such as diabetes, thyroid diseases, and metabolic syndrome. Collaborative dynamics among researchers have driven advancements in diagnostic techniques, therapeutic approaches, and disease-prevention strategies. Objective: This study aims to analyze the collaborative structure of co-authorship networks in endocrinology research from 2000 to 2023. It investigates patterns of international cooperation, identifies influential researchers and institutions, and examines how collaboration impacts research innovation and productivity. Methodology: The research analyzed 19,127 endocrinology-related articles from the Web of Science (2000–2023). Using Python (version 3.10.5), the analysis applied macro-level metrics (network density, clustering coefficient, components, and average distance) and micro-level metrics (degree, closeness, and betweenness centrality) to evaluate network structures and identify key contributors. Results: Endocrinology research networks evolved from fragmented structures with low density (2000-2009) to increasingly clustered and interconnected networks by 2020-2023. Key researchers, including Savage MO, Murad M. Hassan, and Ji Linong, demonstrated consistently high centrality measures and served as pivotal collaborators. Influential researchers and collaborative clusters shaping the field were identified. Conclusion: This study highlights the significance of collaborative networks in shaping endocrinology research. By identifying influential contributors and collaboration clusters, the findings emphasize the value of international partnerships in addressing complex endocrine disorders. These insights provide a framework for enhancing scientific cooperation in medical research and offer strategies to optimize collaboration for future innovations in endocrinology.