Mian Dai

4 papers and 448 indexed citations i.

About

Mian Dai is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Mian Dai has authored 4 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Epidemiology and 2 papers in Immunology. Recurrent topics in Mian Dai’s work include SARS-CoV-2 and COVID-19 Research (3 papers), Influenza Virus Research Studies (2 papers) and Respiratory viral infections research (2 papers). Mian Dai is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Influenza Virus Research Studies (2 papers) and Respiratory viral infections research (2 papers). Mian Dai collaborates with scholars based in United Kingdom, Argentina and United States. Mian Dai's co-authors include Antonio Lanzavecchia, Joost Snijder, Joel Quispe, F.A. Rey, Xiaoli Xiong, Davide Corti, David Veesler, M. Alejandra Tortorici, Alexandra C. Walls and Robin Gopal and has published in prestigious journals such as Cell, Journal of General Virology and Influenza and Other Respiratory Viruses.

In The Last Decade

Co-authorship network of co-authors of Mian Dai i

Fields of papers citing papers by Mian Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mian Dai

Since Specialization
Citations

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