Kaimei Song
About
Kaimei Song is a scholar working on Immunology, Oncology and Epidemiology.
According to data from OpenAlex, Kaimei Song has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 8 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in Kaimei Song’s work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (7 papers). Kaimei Song is often cited by papers focused on Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (7 papers). Kaimei Song collaborates with scholars based in United States, United Kingdom and Germany. Kaimei Song's co-authors include Mario Roederer, Kenneth H. Cowan, Diane L. Bolton, Birandra K. Sinha and Brenna J. Hill and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
In The Last Decade
Fields of papers citing papers by Kaimei Song
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 Kaimei Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kaimei Song may publish in the future.
Countries citing papers authored by Kaimei Song
Since SpecializationCitations
This map shows the geographic impact of Kaimei Song'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 Kaimei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaimei Song more than expected).
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