Ming Tan

About

Ming Tan is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Ming Tan has authored 29 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Plant Science and 7 papers in Biotechnology. Recurrent topics in Ming Tan’s work include Plant Molecular Biology Research (8 papers), Plant Reproductive Biology (8 papers) and Enzyme Production and Characterization (6 papers). Ming Tan is often cited by papers focused on Plant Molecular Biology Research (8 papers), Plant Reproductive Biology (8 papers) and Enzyme Production and Characterization (6 papers). Ming Tan collaborates with scholars based in China, United States and Macao. Ming Tan's co-authors include Guofang Li, Hui Song, Jianyong Xu, Mingyu Han and Hong Zheng and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Journal of Bacteriology.

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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