Ming Tan

171 papers and 5.0k indexed citations i.

About

Ming Tan is a scholar working on Statistics and Probability, Molecular Biology and Oncology. According to data from OpenAlex, Ming Tan has authored 171 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Statistics and Probability, 32 papers in Molecular Biology and 28 papers in Oncology. Recurrent topics in Ming Tan’s work include Statistical Methods in Clinical Trials (37 papers), Statistical Methods and Inference (37 papers) and Statistical Methods and Bayesian Inference (32 papers). Ming Tan is often cited by papers focused on Statistical Methods in Clinical Trials (37 papers), Statistical Methods and Inference (37 papers) and Statistical Methods and Bayesian Inference (32 papers). Ming Tan collaborates with scholars based in United States, China and Hong Kong. Ming Tan's co-authors include Yinsheng Qu, Michael Kutner, Guo‐Liang Tian, Kevin J. Cullen, Hong‐Bin Fang, Olga Goloubeva, Peter X.‐K. Song, Howard J. Federoff, Amrita K. Cheema and Mark Mapstone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Ming Tan i

Fields of papers citing papers by Ming Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Tan

Since Specialization
Citations

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