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I would say (in order?):
real analysis, linear algebra, operations research, courses involving lattice theory (modern algebra, universal algebra, boolean algebra, logic, etc), probability theory, differential equations.
These are pretty much the same courses recomended for anyone interested in having a strong math background going into any field of economics. All of these are used heavily in various papers, although few are necessary in all papers and practically none in the first semester of graduate game theory courses. So far, I'm surprised how little probability has been used and how much relations are used, which is why I mention classes involving lattices. Operations research is not universally offered, but you should look into it as an easy (compared to advanced real analysis) math elective for your minor/co-major which is readilly applicable to PhD economics coursework (and micro quals).
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