Hua Tang

106 papers and 4.8k indexed citations i.

About

Hua Tang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Hua Tang has authored 106 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 66 papers in Cancer Research and 16 papers in Epidemiology. Recurrent topics in Hua Tang’s work include MicroRNA in disease regulation (63 papers), Circular RNAs in diseases (32 papers) and Cancer-related molecular mechanisms research (31 papers). Hua Tang is often cited by papers focused on MicroRNA in disease regulation (63 papers), Circular RNAs in diseases (32 papers) and Cancer-related molecular mechanisms research (31 papers). Hua Tang collaborates with scholars based in China, United States and United Kingdom. Hua Tang's co-authors include Min Liu, Min Liu, Xin Li, Xin Li and Tao Liu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biomaterials.

In The Last Decade

Fields of papers citing papers by Hua 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 Hua Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hua Tang may publish in the future.

Countries citing papers authored by Hua Tang

Since Specialization
Citations

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

Rankless by CCL
2025