Xiaomin Song
About
Xiaomin Song is a scholar working on Molecular Biology, Immunology and Oncology.
According to data from OpenAlex, Xiaomin Song has authored 131 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 33 papers in Immunology and 21 papers in Oncology. Recurrent topics in Xiaomin Song’s work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Xiaomin Song is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Xiaomin Song collaborates with scholars based in China, United States and Australia. Xiaomin Song's co-authors include Zhaocai Zhou, Mark I. Greene, Yan Fu, Yongzhang Luo and Wei Zhuo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
In The Last Decade
Fields of papers citing papers by Xiaomin 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 Xiaomin Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaomin Song may publish in the future.
Countries citing papers authored by Xiaomin Song
Since SpecializationCitations
This map shows the geographic impact of Xiaomin 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 Xiaomin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomin Song more than expected).
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