Bibliometric Analysis of microRNA: A Comprehensive Evaluation of Its Contribution to Acute Coronary Syndromes

Figure 1. Flowchart of literature selection.

Figure 2. Trends in the growth of publications.

Figure 3. Analysis of co-authorship (A) Countries co-authorship map. (B) Countries density visualization. The greater the number of items near a node is, the higher the weight of adjacent items, and the closer the color of this point is too yellow. (C) Institutions co-authorship map. (D) Authors co-authorship map. In networks (A, C and D) the larger the node is, the greater the contribution of the country, institution or authors to that field. The link strength between two nodes represents their collaboration, and the wider the link is, the greater the degree of cooperation between them.

Figure 4. Visualization network map of journal-published articles.

Figure 5. Top 25 references with the strongest citation bursts. The blue bar indicates that the reference has been published; the red bar indicates that the citation has exploded.

Figure 6. Analysis of co-citation references in the field of miRNAs in ACS. The network map of co-citation clusters. Fifteen clusters with different research topics and average times to appear were formed, reflected in different colors on the map. The redder the color is closer to 2007, and the more yellow the color is closer to 2023.

Figure 7. Keywords density visualization. The greater the number of items near a node is, the higher the weight of adjacent items, and the closer the color of this point is too yellow.

Figure 8. Timeline distribution of keyword cluster analysis. Each horizontal line represents a cluster; the time is at the top, and keywords are located at their first co-occurrence time in the cluster. The cluster labels were extracted from the title and abstract information via LLR.

Figure 9. Top 25 keywords with the strongest citation bursts. The red bar represents the time period when the keyword bursts.