Jun Wu

170 papers and 5.5k indexed citations i.

About

Jun Wu is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Speech and Hearing. According to data from OpenAlex, Jun Wu has authored 170 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Health, Toxicology and Mutagenesis, 40 papers in Environmental Engineering and 27 papers in Speech and Hearing. Recurrent topics in Jun Wu’s work include Air Quality and Health Impacts (94 papers), Climate Change and Health Impacts (38 papers) and Air Quality Monitoring and Forecasting (34 papers). Jun Wu is often cited by papers focused on Air Quality and Health Impacts (94 papers), Climate Change and Health Impacts (38 papers) and Air Quality Monitoring and Forecasting (34 papers). Jun Wu collaborates with scholars based in United States, China and Belgium. Jun Wu's co-authors include Lianfa Li, Beate Ritz, Olivier Laurent, Ralph J. Delfino, Arthur Winer, Douglas Houston, Judith H. Chung, Michelle Wilhelm, Myles Cockburn and Fred Lurmann and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Environmental Science & Technology.

In The Last Decade

Co-authorship network of co-authors of Jun Wu i

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Wu

Since Specialization
Citations

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