Mei-Jun Zhu

17 papers and 974 indexed citations i.

About

Mei-Jun Zhu is a scholar working on Molecular Biology, Physiology and Biotechnology. According to data from OpenAlex, Mei-Jun Zhu has authored 17 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Biotechnology. Recurrent topics in Mei-Jun Zhu’s work include Adipose Tissue and Metabolism (4 papers), Listeria monocytogenes in Food Safety (4 papers) and Muscle Physiology and Disorders (3 papers). Mei-Jun Zhu is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Listeria monocytogenes in Food Safety (4 papers) and Muscle Physiology and Disorders (3 papers). Mei-Jun Zhu collaborates with scholars based in United States, China and Taiwan. Mei-Jun Zhu's co-authors include ‬Min Du, Peter W. Nathanielsz, Stephen P. Ford, Dan Du, Yuehe Lin, Tianxiang Wei, Juming Tang, Yan Huang, Xu Yan and Zhihui Dai and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Co-authorship network of co-authors of Mei-Jun Zhu i

Fields of papers citing papers by Mei-Jun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei-Jun Zhu

Since Specialization
Citations

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