Visual analysis of autoimmune dry eye studies based on bibliometrics

Abstract

Background: Dry eye is a chronic ocular surface disease caused by the instability of tear film or the imbalance of the ocular surface microenvironment which can lead to a diverse range of ocular discomfort symptoms. At present, the relevant mechanism of autoimmunity and treatment of dry eye is still unclear. Due to the proliferation of research papers in this field, visual analysis of existing papers can provide reference for future research. Methods: The academic papers of Web of Science were searched with the topics of “autoimmunity” and “dry eye,” and the countries, institutions and keywords of the literatures selected in this domain were visualized by Citespace and Vosviewer software. Results: A total of 787 valid international papers were detected, and the publication count exhibited a consistent upward trend year by year. Within this field, the US has produced the highest number of papers (363), with Baylor College of Medicine being the most prolific institution (28 publications). High-producing authors in this field include Artemis P. Simopoulos and Stephen C. Pflugfelder. Conclusion: International research in this field has focused on the pathogenesis, symptoms, and treatment of dry eye. It is predicted that the future international research hotspots will be the pathophysiology of autoimmune dry eye disease, data analysis of artificial intelligence-related diseases, and research on improving patients’ quality of life.