Information Mining and Visualization of Highly Cited Papers on Type-2 Diabetes Mellitus from ESI

A bibliometric analysis based on 1845 highly cited papers extracted from the Essential Science Indicators database was carried out to provide insights into publication performances and research characteristics of type-2 diabetes mellitus. Indicators were applied to evaluate the influence of the most productive journals, countries/territories, organizations and authors. Social network analysis was performed to evaluate and visualize the interaction among productive countries/territories, organizations, authors and keywords using VOS viewer software. Results obtained from this study can provide valuable information for researchers to better identify present and future hotspots in type-2 diabetes-related fields.