Jun Ren

890 papers and 35.9k indexed citations i.

About

Jun Ren is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Jun Ren has authored 890 papers receiving a total of 35.9k indexed citations (citations by other indexed papers that have themselves been cited), including 363 papers in Molecular Biology, 227 papers in Cardiology and Cardiovascular Medicine and 162 papers in Epidemiology. Recurrent topics in Jun Ren’s work include Autophagy in Disease and Therapy (117 papers), Cardiovascular Function and Risk Factors (98 papers) and Adipose Tissue and Metabolism (82 papers). Jun Ren is often cited by papers focused on Autophagy in Disease and Therapy (117 papers), Cardiovascular Function and Risk Factors (98 papers) and Adipose Tissue and Metabolism (82 papers). Jun Ren collaborates with scholars based in United States, China and Canada. Jun Ren's co-authors include Yingmei Zhang, James R. Sowers, Hao Zhou, John J. Greer, Loren E. Wold, Sreejayan Nair, Pingjun Zhu, Rui Guo, Feng Dong and Asli F. Ceylan‐Isik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Jun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Ren

Since Specialization
Citations

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