Wei Cun

34 papers and 599 indexed citations i.

About

Wei Cun is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Wei Cun has authored 34 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 11 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Wei Cun’s work include Herpesvirus Infections and Treatments (12 papers), Hepatitis C virus research (7 papers) and Cytomegalovirus and herpesvirus research (6 papers). Wei Cun is often cited by papers focused on Herpesvirus Infections and Treatments (12 papers), Hepatitis C virus research (7 papers) and Cytomegalovirus and herpesvirus research (6 papers). Wei Cun collaborates with scholars based in China, United States and United Kingdom. Wei Cun's co-authors include Guangxiang Luo, Jieyun Jiang, Qihan Li, Xianfang Wu, Qing Shi, Hengli Tang, Yanwei Bi, Zhihua Li, Chen Ding and Yadong Li and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Co-authorship network of co-authors of Wei Cun i

Fields of papers citing papers by Wei Cun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Cun

Since Specialization
Citations

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