Min Tang

79 papers and 900 indexed citations i.

About

Min Tang is a scholar working on Molecular Biology, Modeling and Simulation and Computational Mechanics. According to data from OpenAlex, Min Tang has authored 79 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Modeling and Simulation and 17 papers in Computational Mechanics. Recurrent topics in Min Tang’s work include Mathematical Biology Tumor Growth (20 papers), Advanced Mathematical Modeling in Engineering (12 papers) and Advanced Numerical Methods in Computational Mathematics (12 papers). Min Tang is often cited by papers focused on Mathematical Biology Tumor Growth (20 papers), Advanced Mathematical Modeling in Engineering (12 papers) and Advanced Numerical Methods in Computational Mathematics (12 papers). Min Tang collaborates with scholars based in China, France and United States. Min Tang's co-authors include Paul C. Fife, Pierre Degond, Benoı̂t Perthame, Nicolas Vauchelet, Junfa Mao, Lin‐Sheng Wu, Yi Huang, Shi Jin, Grégoire Nadin and Weiran Sun and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and Journal of Computational Physics.

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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