Hui Tang
About
Hui Tang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology.
According to data from OpenAlex, Hui Tang has authored 143 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Pulmonary and Respiratory Medicine, 41 papers in Molecular Biology and 28 papers in Oncology. Recurrent topics in Hui Tang’s work include Renal and Vascular Pathologies (31 papers), Mesenchymal stem cell research (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Hui Tang is often cited by papers focused on Renal and Vascular Pathologies (31 papers), Mesenchymal stem cell research (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Hui Tang collaborates with scholars based in China, United States and South Korea. Hui Tang's co-authors include Lilach O. Lerman, Alfonso Eirin, Amir Lerman, Stephen C. Textor and Xiang-Yang Zhu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.
In The Last Decade
Fields of papers citing papers by Hui Tang
Since SpecializationEngineeringComputer 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 Hui Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hui Tang may publish in the future.
Countries citing papers authored by Hui Tang
Since SpecializationCitations
This map shows the geographic impact of Hui 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 Hui Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Tang more than expected).
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