Kun Wen

36 papers and 1.2k indexed citations i.

About

Kun Wen is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Kun Wen has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Immunology. Recurrent topics in Kun Wen’s work include SARS-CoV-2 and COVID-19 Research (13 papers), Mosquito-borne diseases and control (7 papers) and Viral Infections and Vectors (6 papers). Kun Wen is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (13 papers), Mosquito-borne diseases and control (7 papers) and Viral Infections and Vectors (6 papers). Kun Wen collaborates with scholars based in China, Hong Kong and United States. Kun Wen's co-authors include Chi‐Ming Che, Yuxian Pan, Liwen Qiu, Kwok‐Yung Yuen, Wei Hao, Vincent Chi‐Chung Cheng, Yanqing Ding, Hongwei Zhou, Biao Di and Yadi Wang and has published in prestigious journals such as PLoS ONE, Journal of Controlled Release and Journal of Clinical Microbiology.

In The Last Decade

Co-authorship network of co-authors of Kun Wen i

Fields of papers citing papers by Kun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Wen

Since Specialization
Citations

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