Using the English Wikipedia network of more than 5 million articles we analyze interactions and interlinks between the 34 largest pharmaceutical companies, 195 world countries, 47 rare renal diseases and 37 types of cancer. The recently developed algorithm of reduced Google matrix (REGOMAX) allows us to take into account direct Markov transitions between these articles but also all indirect ones generated by the pathways between these articles via the global Wikipedia network. Thus this approach provides a compact description of interactions between these articles that allows us to determine the friendship networks between articles, the PageRank sensitivity of countries to pharmaceutical companies and rare renal diseases. We also show that the top pharmaceutical companies of Wikipedia PageRank are not those of the top list of market capitalization.