Song Gao
About
Song Gao is a scholar working on Molecular Biology, Immunology and Biomedical Engineering.
According to data from OpenAlex, Song Gao has authored 69 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 18 papers in Immunology and 15 papers in Biomedical Engineering. Recurrent topics in Song Gao’s work include Aquaculture disease management and microbiota (16 papers), High-Energy Particle Collisions Research (13 papers) and Quantum Chromodynamics and Particle Interactions (12 papers). Song Gao is often cited by papers focused on Aquaculture disease management and microbiota (16 papers), High-Energy Particle Collisions Research (13 papers) and Quantum Chromodynamics and Particle Interactions (12 papers). Song Gao collaborates with scholars based in China, United States and Hong Kong. Song Gao's co-authors include Hui Shen, Pei Wang, Jingquan Dong, Panpan Zhao and Ge Jiang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Analytical Chemistry.
In The Last Decade
Fields of papers citing papers by Song Gao
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 Song Gao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Gao may publish in the future.
Countries citing papers authored by Song Gao
Since SpecializationCitations
This map shows the geographic impact of Song Gao'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 Song Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Gao more than expected).
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