Min Tang

35 papers and 512 indexed citations i.

About

Min Tang is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Min Tang has authored 35 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Physiology. Recurrent topics in Min Tang’s work include Circadian rhythm and melatonin (4 papers), Ion Channels and Receptors (4 papers) and Dermatology and Skin Diseases (4 papers). Min Tang is often cited by papers focused on Circadian rhythm and melatonin (4 papers), Ion Channels and Receptors (4 papers) and Dermatology and Skin Diseases (4 papers). Min Tang collaborates with scholars based in China, United States and Australia. Min Tang's co-authors include Franziska Michor, Changming Wang, Yan Yang, Guang Yu, Chan Zhu, Zongxiang Tang, He Qian, Hao Shi, Yang Tian and Zhongli Wang and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Min Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Tang

Since Specialization
Citations

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