Ming Pan

12 papers and 80 indexed citations i.

About

Ming Pan is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Ming Pan has authored 12 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 5 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Ming Pan’s work include Viral Infections and Vectors (5 papers), Influenza Virus Research Studies (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Ming Pan is often cited by papers focused on Viral Infections and Vectors (5 papers), Influenza Virus Research Studies (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Ming Pan collaborates with scholars based in China and United States. Ming Pan's co-authors include Huiping Yang, Mingyuan Li, Shusen He, Jianan Xu, Linlin Zhou, Bo Hong, Shumei Zou, Tianshu Li, Yuelong Shu and Ting Huang and has published in prestigious journals such as Virology, Clinical Microbiology and Infection and BMC Microbiology.

In The Last Decade

Co-authorship network of co-authors of Ming Pan i

Fields of papers citing papers by Ming Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Pan

Since Specialization
Citations

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