Reading this reminded me of Terrence Tao's blog post about how you don't have to be a genius to do math: http://terrytao.wordpress.com/career-advice/does-one-have-to-be-a-genius-to-do-maths/.
I think you are severely oversimplifying "intelligence" and "productivity" into 1-dimensional quantities. In my experience, "genius" (i.e. the insight that solves a problem) is about acquiring a bag of tricks to throw at new problems, and translating your insight into a solution is the result of practice.
I was actually surprised to read back over the post and see that it was about intelligence; in my memory I had translated it into an article about a one-dimensional scale of ability, which I also imagined including, as a critical component, ability to have effective collaborations.
I guess it was the example of Einstein that brought that to mind. Part of what impressed me the most about his career was that, when he was working on general relativity, he collaborated heavily with a mathematician. Marcel Grossman, I think.
There are two separate simplifying as...
I argued in this post that the differences in capability between different researchers are vast (Kaj Sotala provided me with some interesting empirical evidence that backs up this claim). Einstein's contributions to physics or John von Neumann's contributions to mathematics (and a number of other disciplines) are arguably at least hundreds of times greater than that of an average physicist or mathematician.
At the same time, Yudkowsky argues that "in the space of brain designs" the difference between the village idiot and Einstein is tiny. Their brains are extremely similar, with the exception of some "minor genetic tweaks". Hence we get the following picture: