Application of non-invasive imaging in myocardial infarction: a bibliometric analysis from January 2003 to December 2022.

Background: Myocardial infarction (MI) is a leading cause of death and disability worldwide. Non-invasive cardiac imaging has garnered significant attention in both MI diagnostic and prognostic research. Despite the growing body of published articles, no comprehensive, quantitative analysis has been conducted to delineate key trends and emerging areas in the field of non-invasive imaging for MI. This bibliometric analysis aimed to systematically evaluate the landscape of non-invasive cardiac imaging-focused research on MI in terms of the research status, publication patterns, influential contributors, hotspots, and focal development trends. Methods: We systematically searched the Web of Science Core Collection (WoSCC) to retrieve publications related to MI imaging between 2003 and 2022. Only "articles" and "reviews" written in English were included in the final analysis. Subsequently, a manual screening process was employed to eliminate articles not relevant to the topic. The search results were exported as a plain text file in "Full Record and Cited References" format, and stored as "download_*.txt". CiteSpace and VOSviewer software were used to conduct the bibliometric and visualization analyses. These tools allowed us to analyze countries/regions and institutions' contributions, the top journals, prolific authors, influential references, and keywords. Results: Our bibliometric analysis included 33,480 publications from 138 countries, involving contributions from 19,554 institutions and 146,043 authors. Annual publications in this field have shown a rapid increase since approximately 2004. The United States of America (USA) leads in MI imaging research, boasting the highest number of publications (n=11,431), prolific research institutions, and numerous core authors. Notably, Harvard University and the University of California System emerged as the primary research institutions. Among the authors, Budoff was the most prolific contributor (n=209). The co-citation analysis, which measures how frequently an author's work is cited together with other key studies in the field, showed that Kim (n=2,794) was the most influential author based on co-citations, highlighting his significant influence in the area. Most articles appeared in the journal of the Conclusions: Our bibliometric analysis revealed that MI non-invasive imaging is a rapidly developing field, with emerging trends in multimodal imaging and artificial intelligence (AI). These findings suggest that the integration of various imaging techniques and the use of AI could enhance the clinical application of MI non-invasive imaging, particularly in terms of early diagnosis, risk stratification, and personalized treatment strategies.