Kun Su

24 papers and 1.9k indexed citations i.

About

Kun Su is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Kun Su has authored 24 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Epidemiology and 7 papers in Modeling and Simulation. Recurrent topics in Kun Su’s work include Influenza Virus Research Studies (8 papers), COVID-19 epidemiological studies (7 papers) and Animal Disease Management and Epidemiology (5 papers). Kun Su is often cited by papers focused on Influenza Virus Research Studies (8 papers), COVID-19 epidemiological studies (7 papers) and Animal Disease Management and Epidemiology (5 papers). Kun Su collaborates with scholars based in China, United States and Australia. Kun Su's co-authors include Jingfu Qiu, Yong Zhang, Bo Wu, Ailong Huang, Qin Li, Jieli Hu, Wei Xü, Juan Chen, Quanxin Long and Jiang Gong and has published in prestigious journals such as Nature Medicine, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Co-authorship network of co-authors of Kun Su i

Fields of papers citing papers by Kun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Su. 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 Kun Su. The network helps show where Kun Su may publish in the future.

Countries citing papers authored by Kun Su

Since Specialization
Citations

This map shows the geographic impact of Kun Su'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 Kun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Su 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025