Tao Tang

About

Tao Tang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Tao Tang has authored 76 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 19 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Tao Tang’s work include MicroRNA in disease regulation (11 papers), RNA Interference and Gene Delivery (8 papers) and Cancer-related molecular mechanisms research (7 papers). Tao Tang is often cited by papers focused on MicroRNA in disease regulation (11 papers), RNA Interference and Gene Delivery (8 papers) and Cancer-related molecular mechanisms research (7 papers). Tao Tang collaborates with scholars based in China, Hong Kong and United States. Tao Tang's co-authors include Yan Deng, Quan Du, Chi Chiu Wang, Kwong Wai Choy and Ge Zhang and has published in prestigious journals such as Advanced Functional Materials, Oncogene and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Tao Tang

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

Countries citing papers authored by Tao Tang

Since Specialization

Citations

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

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