Ting Mu

About

Ting Mu is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Ting Mu has authored 17 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Ting Mu’s work include Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Ting Mu is often cited by papers focused on Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Ting Mu collaborates with scholars based in China, Philippines and United States. Ting Mu's co-authors include Hua Tang, David S. Cram, Hong Xie, Shengyu Feng and Hongxia Fan and has published in prestigious journals such as Bioinformatics, The Journal of Physical Chemistry C and Cancer Letters.

In The Last Decade

Fields of papers citing papers by Ting Mu

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 Ting Mu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ting Mu may publish in the future.

Countries citing papers authored by Ting Mu

Since Specialization

Citations

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

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