Baojun Song

24 papers and 1.8k indexed citations i.

About

Baojun Song is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Baojun Song has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Public Health, Environmental and Occupational Health, 13 papers in Modeling and Simulation and 11 papers in Genetics. Recurrent topics in Baojun Song’s work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), COVID-19 epidemiological studies (12 papers) and Evolution and Genetic Dynamics (11 papers). Baojun Song is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), COVID-19 epidemiological studies (12 papers) and Evolution and Genetic Dynamics (11 papers). Baojun Song collaborates with scholars based in United States, China and Canada. Baojun Song's co-authors include Carlos Castillo‐Chávez, Abba B. Gumel, Oluwaseun Sharomi, Juan Pablo Aparicio, Sanling Yuan, Faina Berezovskaya, Georgy P. Karev, Diana M. Thomas, Jia Li and Xiaohong Wang and has published in prestigious journals such as Journal of Theoretical Biology, Journal of the Franklin Institute and Chaos Solitons & Fractals.

In The Last Decade

Co-authorship network of co-authors of Baojun Song i

Fields of papers citing papers by Baojun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Baojun Song

Since Specialization
Citations

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