Mingda Yan

19 papers and 775 indexed citations i.

About

Mingda Yan is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Mingda Yan has authored 19 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Mingda Yan’s work include Peroxisome Proliferator-Activated Receptors (5 papers), Caveolin-1 and cellular processes (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). Mingda Yan is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (5 papers), Caveolin-1 and cellular processes (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). Mingda Yan collaborates with scholars based in United States, South Korea and Italy. Mingda Yan's co-authors include Suresh Subramani, Naganand Rayapuram, Zhongcheng Zheng, Xinyuan Liu, Lanying Sun, Weijing Xu, Weiguo Zou, Hairong Huo, Danny N. Dhanasekaran and Muralidharan Jayaraman and has published in prestigious journals such as The Journal of Cell Biology, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Mingda Yan i

Fields of papers citing papers by Mingda Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingda Yan

Since Specialization
Citations

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