Trends in nanomedicine for colorectal cancer treatment: Bibliometric and visualization analysis (2010-2024)

Figure 1  Flowchart overview.

Figure 2  Geographical distribution of published literature related to the application of nanomedicine in the treatment of colorectal cancer.

Figure 3  Annual accumulated publication counts over the past 14 years.

Figure 4 Research contributions from various countries on the application of nanomedicine in the treatment of colorectal cancer. A: Network visualization of country collaboration; B: Density map of cooperation between countries; C: Network diagram showing international collaborations, with purple circles representing intermediation centrality; D: Top 20 countries for corresponding authors. MCP: Multiple-country publications; SCP: Single-country publications.

Figure 5  Institution collaboration network graph, with purple circles representing intermediary centrality.

Figure 6 Research contributions from different authors on the application of nanomedicine in the treatment of colorectal cancer. A: Top 10 authors in terms of average publication count per year; B: Top 10 most relevant authors; C: Top 10 influential authors based on the H-index.

Figure 7 Analysis of co-cited authors. A: Author co-citation network graph; B: Author co-citation density map.

Figure 8 Status of research papers on the application of nanomedicine in colorectal cancer treatment published in various journals. A: Top 10 journals ranked by H-index; B: Journal overlay map for research on the application of nanomedicine in colorectal cancer treatment (the left side represents the area covered by cited journals, and the right side represents the area covered by citing journals); C: VOSviewer visualization of cited journals; D: VOSviewer visualization density map of cited journals.

Figure 9 Analysis of cited references. A: Visualization of cited references. Nodes represent co-cited references. The red circles represent the intermediary centrality of the references; B: The top 15 most cited references with the highest citation burst.

Figure 10  Keyword analysis. A: Visualization of keyword co-occurrence and clustering; B: Density map of keyword co-occurrence; C: Timeline distribution of the top 13 clusters of keywords; D: The top 15 keywords with the highest citation burst.