Jun Chen

250 papers and 10.5k indexed citations i.

About

Jun Chen is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Jun Chen has authored 250 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Infectious Diseases, 77 papers in Epidemiology and 44 papers in Molecular Biology. Recurrent topics in Jun Chen’s work include HIV Research and Treatment (29 papers), COVID-19 Clinical Research Studies (24 papers) and Tuberculosis Research and Epidemiology (23 papers). Jun Chen is often cited by papers focused on HIV Research and Treatment (29 papers), COVID-19 Clinical Research Studies (24 papers) and Tuberculosis Research and Epidemiology (23 papers). Jun Chen collaborates with scholars based in China, United States and Canada. Jun Chen's co-authors include Gary D. Wu, Frederic D. Bushman, James D. Lewis, Christian Hoffmann, Hongzhe Li, Sue A. Keilbaugh, Meenakshi Bewtra, Erin Gilroy, Robert N. Baldassano and Rob Knight and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

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

Fields of papers citing papers by Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Chen

Since Specialization
Citations

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