Purpose/Significance To understand the correlation of multi-source evaluation indicators for highly cited papers in medical universities in different databases, and to provide references for the discovery, utilization and evaluation of literature resources. Method/Process The paper takes the highly cited papers of Capital Medical University from 2013 to 2023 as the research object, analyzes 38 evaluation indexes in H1 Connect, Dimensions, ESI, Web of Science, InCites and SciVal, and makes correlation analysis from representative indicators, patent and policy citation indicators, browse and use indicators, relative indicators, journal indicators, cited frequency and Altmetric indicators. Result/Conclusion It is found that the similar indicators in each group have relatively high correlation, individual indicators such as peer-reviewed weighted sum of stars and Weibo mentions have no significant correlation with most different platform indicators.