Kunpeng Mu

8 papers and 2.5k indexed citations i.

About

Kunpeng Mu is a scholar working on Modeling and Simulation, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kunpeng Mu has authored 8 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Modeling and Simulation, 2 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kunpeng Mu’s work include COVID-19 epidemiological studies (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and Data-Driven Disease Surveillance (2 papers). Kunpeng Mu is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and Data-Driven Disease Surveillance (2 papers). Kunpeng Mu collaborates with scholars based in United States, China and Italy. Kunpeng Mu's co-authors include Marco Ajelli, Matteo Chinazzi, Alessandro Vespignani, Ana Pastore y Piontti, Ira M. Longini, M. Elizabeth Halloran, Maria Litvinova, Stefano Merler, Xinyue Xiong and Jessica T. Davis and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Kunpeng Mu i

Fields of papers citing papers by Kunpeng Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kunpeng Mu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kunpeng Mu. The network helps show where Kunpeng Mu may publish in the future.

Countries citing papers authored by Kunpeng Mu

Since Specialization
Citations

This map shows the geographic impact of Kunpeng Mu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kunpeng Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunpeng Mu more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025