Bin Ai
About
Bin Ai is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Bin Ai has authored 45 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bin Ai’s work include Lung Cancer Treatments and Mutations (8 papers), Health disparities and outcomes (6 papers) and Plant and Fungal Species Descriptions (6 papers). Bin Ai is often cited by papers focused on Lung Cancer Treatments and Mutations (8 papers), Health disparities and outcomes (6 papers) and Plant and Fungal Species Descriptions (6 papers). Bin Ai collaborates with scholars based in China, Japan and Canada. Bin Ai's co-authors include Ming Kang, Tanji Hoshi, Gang Cheng and Xin Nie and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Evolution.
In The Last Decade
Fields of papers citing papers by Bin Ai
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 Bin Ai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Bin Ai may publish in the future.
Countries citing papers authored by Bin Ai
Since SpecializationCitations
This map shows the geographic impact of Bin Ai'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 Bin Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ai more than expected).
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