Da Song

About

Da Song is a scholar working on Molecular Biology, Ecology and Pharmacology. According to data from OpenAlex, Da Song has authored 32 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Ecology and 5 papers in Pharmacology. Recurrent topics in Da Song’s work include Microbial Community Ecology and Physiology (8 papers), Genomics and Phylogenetic Studies (5 papers) and Microbial Metabolism and Applications (5 papers). Da Song is often cited by papers focused on Microbial Community Ecology and Physiology (8 papers), Genomics and Phylogenetic Studies (5 papers) and Microbial Metabolism and Applications (5 papers). Da Song collaborates with scholars based in China, South Korea and United States. Da Song's co-authors include Meiying Xu, Jeung Hee An, Guoping Sun, Xingjuan Chen and Kang‐Hyun Chung and has published in prestigious journals such as Applied and Environmental Microbiology, Chemical Communications and Journal of Hazardous Materials.

In The Last Decade

Fields of papers citing papers by Da Song

Since Specialization

EngineeringComputer 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 Da Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Da Song may publish in the future.

Countries citing papers authored by Da Song

Since Specialization

Citations

This map shows the geographic impact of Da 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 Da Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Song more than expected).

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