Understanding the folding of RNA sequences into three-dimensional structures is one of the fundamental challenges in molecular biology, with potential applications for treating neurodegenerative disorders. However, the branching of an RNA secondary structure, which is a critical molecular characteristic, is often difficult to predict correctly. We highlight results from enumerative, probabilistic, and geometric combinatorics that characterize different types of branching landscapes, yielding insights into RNA structure formation.