Rank correlations for measuring and testing against dependence of two random scalars are among the oldest and best-known topics in nonparametric statistics. In this talk, I will review some recent progresses towards understanding and extending rank correlations to multivariate spaces through building connections to optimal transport and graph-based statistics.