Ying Fu
About
Ying Fu is a scholar working on Epidemiology, Molecular Biology and Oncology.
According to data from OpenAlex, Ying Fu has authored 17 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Ying Fu’s work include T-cell and B-cell Immunology (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Influenza Virus Research Studies (2 papers). Ying Fu is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Influenza Virus Research Studies (2 papers). Ying Fu collaborates with scholars based in China, United States and United Kingdom. Ying Fu's co-authors include Guy J. Clarkson, Yongheng Chen, Zheng Dong, Peter J. Sadler and Quan Zhu and has published in prestigious journals such as Nature Communications, Scientific Reports and Biochemical and Biophysical Research Communications.
In The Last Decade
Fields of papers citing papers by Ying Fu
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 Ying Fu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ying Fu may publish in the future.
Countries citing papers authored by Ying Fu
Since SpecializationCitations
This map shows the geographic impact of Ying Fu'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 Ying Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Fu more than expected).
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