Jun Dong

67 papers and 1.1k indexed citations i.

About

Jun Dong is a scholar working on Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jun Dong has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Physiology and 17 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jun Dong’s work include Metabolomics and Mass Spectrometry Studies (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Lipoproteins and Cardiovascular Health (7 papers). Jun Dong is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Lipoproteins and Cardiovascular Health (7 papers). Jun Dong collaborates with scholars based in China, United States and Italy. Jun Dong's co-authors include Ruiyue Yang, Wenxiang Chen, Hongxia Li, Siming Wang, Hongna Mu, Qi Zhou, Xianghui Li, Liang Sun, Le Cai and Weiqing Tang and has published in prestigious journals such as PLoS ONE, Biochemical Journal and Chemical Engineering Journal.

In The Last Decade

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

Fields of papers citing papers by Jun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Dong

Since Specialization
Citations

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