Mei Dong

54 papers and 2.0k indexed citations i.

About

Mei Dong is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Mei Dong has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Mei Dong’s work include Atherosclerosis and Cardiovascular Diseases (7 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Wound Healing and Treatments (3 papers). Mei Dong is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (7 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Wound Healing and Treatments (3 papers). Mei Dong collaborates with scholars based in China, United States and Hong Kong. Mei Dong's co-authors include Xiao Meng, Cheng Zhang, Jianmin Yang, Kai Zhang, Qun‐Dong Shen, Yun Zhang, Eric Tu, Qi Gao, Wanjun Chen and Xuanzhong Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and ACS Nano.

In The Last Decade

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

Fields of papers citing papers by Mei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Dong

Since Specialization
Citations

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