This paper aims to analyze 3,727 citations of 148 published works found in SSCI and SCI of ISI Web of Knowledge by using Social Network and Citation Analysis to sketch out and understand patent analysis studies. The shift of key themes is proven after applying Excel, Multidimensional Scaling, Factor Analysis, Correlation Coefficient and NETDRAW providing quantify, objective and graph means to understand networks relationship of patent analysis Iiterature and their importance or influence status. The result clearly presents dynamic development and evolution of patent analysis and solves shortcoming and question of patent analysis classification. It further provides systematize and important reading, faster method for scholars who want to act as an exemplary model for future researches in this field.