Dai Wang

105 papers and 4.8k indexed citations i.

About

Dai Wang is a scholar working on Epidemiology, Genetics and Infectious Diseases. According to data from OpenAlex, Dai Wang has authored 105 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Epidemiology, 26 papers in Genetics and 22 papers in Infectious Diseases. Recurrent topics in Dai Wang’s work include Cytomegalovirus and herpesvirus research (39 papers), Herpesvirus Infections and Treatments (33 papers) and Toxoplasma gondii Research Studies (10 papers). Dai Wang is often cited by papers focused on Cytomegalovirus and herpesvirus research (39 papers), Herpesvirus Infections and Treatments (33 papers) and Toxoplasma gondii Research Studies (10 papers). Dai Wang collaborates with scholars based in United States, China and United Kingdom. Dai Wang's co-authors include Thomas Shenk, Tong‐Ming Fu, Colin R. Parrish, Andrew J. Roe, Daniel C. Freed, David L. Gally, Xueqin Lin, Fengsheng Li, Zhiqiang An and Aimin Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

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

Fields of papers citing papers by Dai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dai Wang

Since Specialization
Citations

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