Song
About
Song is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics.
According to data from OpenAlex, Song has authored 121 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Plant Science, 16 papers in Molecular Biology and 15 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Song’s work include Rice Cultivation and Yield Improvement (10 papers), Aquatic Ecosystems and Phytoplankton Dynamics (9 papers) and Research in Cotton Cultivation (8 papers). Song is often cited by papers focused on Rice Cultivation and Yield Improvement (10 papers), Aquatic Ecosystems and Phytoplankton Dynamics (9 papers) and Research in Cotton Cultivation (8 papers). Song collaborates with scholars based in South Korea. Song's co-authors include Li, Wang, Zhang, Wu and Liu and has published in prestigious journals such as International Journal of Molecular Medicine.
In The Last Decade
Fields of papers citing papers by 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 Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song may publish in the future.
Countries citing papers authored by Song
Since SpecializationCitations
This map shows the geographic impact of 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 Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song more than expected).
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