Mingzhu Tang

18 papers and 627 indexed citations i.

About

Mingzhu Tang is a scholar working on Cellular and Molecular Neuroscience, Surgery and Pharmacology. According to data from OpenAlex, Mingzhu Tang has authored 18 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 7 papers in Surgery and 7 papers in Pharmacology. Recurrent topics in Mingzhu Tang’s work include Apelin-related biomedical research (7 papers), Nuclear Receptors and Signaling (7 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers). Mingzhu Tang is often cited by papers focused on Apelin-related biomedical research (7 papers), Nuclear Receptors and Signaling (7 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers). Mingzhu Tang collaborates with scholars based in China, Macao and United States. Mingzhu Tang's co-authors include Linxi Chen, Di Wu, Zhe Chen, Lanfang Li, Meiqing Liu, Shifang Huang, Qionglin Zhou, Xuling Luo, Jiuchang Zhong and Jian‐Xiong Chen and has published in prestigious journals such as Free Radical Biology and Medicine, Life Sciences and Journal of Cellular Physiology.

In The Last Decade

Co-authorship network of co-authors of Mingzhu Tang i

Fields of papers citing papers by Mingzhu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingzhu Tang

Since Specialization
Citations

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