Ming Tan

170 papers and 4.9k 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 170 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 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 (36 papers) and Statistical Methods and Bayesian Inference (31 papers). Ming Tan is often cited by papers focused on Statistical Methods in Clinical Trials (37 papers), Statistical Methods and Inference (36 papers) and Statistical Methods and Bayesian Inference (31 papers). Ming Tan collaborates with scholars based in United States, China and Hong Kong. Ming Tan's co-authors include Guo‐Liang Tian, Hong‐Bin Fang, Man‐Lai Tang, Lixing Lao and Kevin J. Cullen 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

Fields of papers citing papers by Ming Tan

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Ming Tan. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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