In Wikidata we standardise names by having surnames at the end and they have a capital at the end. The result is Salimata Wade not Salimata WADE as you may find on many African websites..
When you google for professor Wade, it is easy to realise that she is quite notable.. It is easy even when you don't get much from French. There is work of professor Wade to find in Wikidata but attributing her work takes too much effort. She does not have an ORCiD id nor a Google Scholar ID. It is only because of googled texts that you feel safe to use quickstatements for what you find. It is super slow going but it is what you do when you expose what is possible.
Adding her papers should affect a change in two places on my African Science scaffolds, Wikipedia administrators permitting, the Listeria bot seems to be blocked for whatever reason.. Then again, other pages using the same bot are not..
When you consider the ratio of males / females it is 64 / 8. When you consider the ratio of Wikipedia articles I expect a quite different ratio. I do not know how to effectively make us a ration of US or UK scientists and compare that with African scientists. One reason is that I typically do not add nationality and I know the flaws in attributing a nationality to US scientists.. Whatever approach, Africa will show to be underrepresented both in Wikipedia and Wikidata.. Without the scaffolding, the preliminary data, there is no data approach to this.. No data means no clue.
Anyway, for countries like Senegal it makes sense to add the scaffolding to the French Wikipedia..