Ying Bi
About
Ying Bi is a scholar working on Molecular Biology, Epidemiology and Immunology.
According to data from OpenAlex, Ying Bi has authored 26 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Ying Bi’s work include RNA modifications and cancer (6 papers), Epoxy Resin Curing Processes (4 papers) and Pneumonia and Respiratory Infections (3 papers). Ying Bi is often cited by papers focused on RNA modifications and cancer (6 papers), Epoxy Resin Curing Processes (4 papers) and Pneumonia and Respiratory Infections (3 papers). Ying Bi collaborates with scholars based in China, United Kingdom and Belarus. Ying Bi's co-authors include Chun‐Xiao Song, Fang Yuan, Yifan Zhu and Deyu Zhao and has published in prestigious journals such as Nature Communications, Nature Biotechnology and The Science of The Total Environment.
In The Last Decade
Fields of papers citing papers by Ying Bi
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 Bi. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ying Bi may publish in the future.
Countries citing papers authored by Ying Bi
Since SpecializationCitations
This map shows the geographic impact of Ying Bi'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 Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Bi more than expected).
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