Jun Tang

About

Jun Tang is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Jun Tang has authored 99 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cancer Research, 34 papers in Molecular Biology and 24 papers in Oncology. Recurrent topics in Jun Tang’s work include MicroRNA in disease regulation (12 papers), Breast Cancer Treatment Studies (11 papers) and Cancer-related molecular mechanisms research (9 papers). Jun Tang is often cited by papers focused on MicroRNA in disease regulation (12 papers), Breast Cancer Treatment Studies (11 papers) and Cancer-related molecular mechanisms research (9 papers). Jun Tang collaborates with scholars based in China, United States and Switzerland. Jun Tang's co-authors include Rong Deng, Xiao‐Feng Zhu, Xiaoming Xie, Zeming Xie and Gong-Kan Feng and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

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

Countries citing papers authored by Jun Tang

Since Specialization

Citations

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

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