Min Shen

146 papers and 6.7k indexed citations i.

About

Min Shen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Min Shen has authored 146 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 26 papers in Computational Theory and Mathematics and 25 papers in Oncology. Recurrent topics in Min Shen’s work include Computational Drug Discovery Methods (26 papers), Cancer, Hypoxia, and Metabolism (16 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). Min Shen is often cited by papers focused on Computational Drug Discovery Methods (26 papers), Cancer, Hypoxia, and Metabolism (16 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). Min Shen collaborates with scholars based in United States, China and Germany. Min Shen's co-authors include Anton Simeonov, Douglas S. Auld, Matthew D. Hall, Alexander Tropsha, Alexander Golbraikh, Craig J. Thomas, Matthew B. Boxer, Kyle R. Brimacombe, Richard T. Eastman and Samarjit Patnaik and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Min Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Shen

Since Specialization
Citations

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