Xiaojun Song
About
Xiaojun Song is a scholar working on Molecular Biology, Infectious Diseases and Immunology.
According to data from OpenAlex, Xiaojun Song has authored 71 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 14 papers in Infectious Diseases and 11 papers in Immunology. Recurrent topics in Xiaojun Song’s work include Clostridium difficile and Clostridium perfringens research (14 papers), Invertebrate Immune Response Mechanisms (7 papers) and Gut microbiota and health (6 papers). Xiaojun Song is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (14 papers), Invertebrate Immune Response Mechanisms (7 papers) and Gut microbiota and health (6 papers). Xiaojun Song collaborates with scholars based in China, Japan and Australia. Xiaojun Song's co-authors include Fei Ma, Dazhi Jin, Ping Jin, Yun Luo and Xin‐Sheng Yao and has published in prestigious journals such as Angewandte Chemie International Edition, Nano Letters and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Xiaojun 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 Xiaojun Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaojun Song may publish in the future.
Countries citing papers authored by Xiaojun Song
Since SpecializationCitations
This map shows the geographic impact of Xiaojun 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 Xiaojun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Song more than expected).
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