Best approach for identifying top proteins in a single cluster in single-cell analysis

Question

[singAsong]

I have followed the Seurat workflow for clustering and successfully identified the individual clusters based on gene expression. Now, I want to identify and rank the top 10 highly expressed proteins within a single cluster from a set of 100 proteins. What would be the most appropriate test to perform in this case? Would calculating the average expression be sufficient, or is there a better approach? Please note, I am not comparing expression across clusters (e.g. cluster 1 vs. cluster 2), as in differential expression analysis.