This paper studied the COVID-19 development process, spatial pattern and influencing factors in Russia. Based on the indicators of the total confirmed cases, new daily confirmed cases, cured cases amount and death cases amount, the spatial differentiation pattern of the COVID-19 in Russia were studied by using ArcGIS. And the influencing factors of COVID-19 spreading were analyzed with the multiple linear regression analysis. The results are as below. First, the spreading process of COVID-19 in Russia had four stages, namely, being stage I: occasional occurrence, stage II: rapid diffusion, stage III: attenuation diffusion, and stage IV: serious diffusion. The cure rate of COVID-19 has been increasing, and the death rate of COVID-19 is around 2% in Russia. Second, population size, economic development level, medical level, and transportation network have a certain impact on the spread of COVID-19 in Russia. Third, Russia's COVID-19 spread is characterized from the multi-point diffusion in the early stage to the complete diffusion in the later stage. From the center of Moscow city, the spatial spread of COVID-19 mainly shows the patterns of adjacent diffusion, relocation diffusion, hierarchical diffusion, and corridor diffusion. What's more, Russia's COVID-19 spread also shows the characteristics of internal spatial agglomeration. The areas with high COVID-19 confirmed cases are concentrated in Moscow City, Moscow Region, Saint-Petersburg city, Nizhny Novgorod Region, Sverdlovsk Region, Khanty-Mansiysky Autonomous Area, Rostov Region, and Krasnoyarsk Territory. Finally, we suggest policies and strategies that can boost the cooperation and development between China and Russia in the post-COVID-19 period.