Fei Hua
About
Fei Hua is a scholar working on Molecular Biology, Immunology and Oncology.
According to data from OpenAlex, Fei Hua has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Immunology and 12 papers in Oncology. Recurrent topics in Fei Hua’s work include Monoclonal and Polyclonal Antibodies Research (12 papers), Immune Cell Function and Interaction (7 papers) and Hemophilia Treatment and Research (7 papers). Fei Hua is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Immune Cell Function and Interaction (7 papers) and Hemophilia Treatment and Research (7 papers). Fei Hua collaborates with scholars based in United States, China and Singapore. Fei Hua's co-authors include Jin‐Song Bian, John M. Burke, Joshua F. Apgar, Robert F. Gilmour and Zhiyuan Wu 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 Fei Hua
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 Fei Hua. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fei Hua may publish in the future.
Countries citing papers authored by Fei Hua
Since SpecializationCitations
This map shows the geographic impact of Fei Hua'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 Fei Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Hua more than expected).
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