One thing to note is that an $m \times n$ matrix with $n>m$ cannot have rank $n$, since otherwise we would have $n$ linearly independent vectors in $\mathbb{R}^m$. Having full rank (in this case rank $m$) implies that there is some $m \times m$ invertible submatrix, but this is not necessarily the uppermost submatrix.