Fang Hua
About
Fang Hua is a scholar working on Molecular Biology, Immunology and Neurology.
According to data from OpenAlex, Fang Hua has authored 174 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 46 papers in Immunology and 36 papers in Neurology. Recurrent topics in Fang Hua’s work include Neuroinflammation and Neurodegeneration Mechanisms (27 papers), Immune Response and Inflammation (21 papers) and HIV Research and Treatment (13 papers). Fang Hua is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (27 papers), Immune Response and Inflammation (21 papers) and HIV Research and Treatment (13 papers). Fang Hua collaborates with scholars based in China, United States and Japan. Fang Hua's co-authors include Tuanzhu Ha, Donald G. Stein, David L. Williams, Iqbal Sayeed and Jim Kelley and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and JNCI Journal of the National Cancer Institute.
In The Last Decade
Fields of papers citing papers by Fang 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 Fang Hua. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fang Hua may publish in the future.
Countries citing papers authored by Fang Hua
Since SpecializationCitations
This map shows the geographic impact of Fang 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 Fang Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Hua more than expected).
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