Hua Tang
About
Hua Tang is a scholar working on Molecular Biology, Immunology and Physiology.
According to data from OpenAlex, Hua Tang has authored 65 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 15 papers in Immunology and 7 papers in Physiology. Recurrent topics in Hua Tang’s work include Receptor Mechanisms and Signaling (10 papers), Protein Tyrosine Phosphatases (8 papers) and Immune Response and Inflammation (7 papers). Hua Tang is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Protein Tyrosine Phosphatases (8 papers) and Immune Response and Inflammation (7 papers). Hua Tang collaborates with scholars based in United States, China and Japan. Hua Tang's co-authors include Tadashi Inagami, Qin Hao, Steven Idell, Zhizhuang Joe Zhao and David F. Blair and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of Molecular Biology.
In The Last Decade
Fields of papers citing papers by Hua 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 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 SpecializationCitations
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).
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