Gina Song
About
Gina Song is a scholar working on Biomaterials, Oncology and Molecular Biology.
According to data from OpenAlex, Gina Song has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomaterials, 7 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Gina Song’s work include Nanoparticle-Based Drug Delivery (11 papers), Pesticide Exposure and Toxicity (4 papers) and Nanoplatforms for cancer theranostics (3 papers). Gina Song is often cited by papers focused on Nanoparticle-Based Drug Delivery (11 papers), Pesticide Exposure and Toxicity (4 papers) and Nanoplatforms for cancer theranostics (3 papers). Gina Song collaborates with scholars based in United States, United Kingdom and Canada. Gina Song's co-authors include William C. Zamboni, Miyoung Yoon, Harvey J. Clewell, Brian G. Lake and Thomas G. Osimitz and has published in prestigious journals such as Journal of the American College of Cardiology, Cancer Research and Clinical Cancer Research.
In The Last Decade
Fields of papers citing papers by Gina 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 Gina Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gina Song may publish in the future.
Countries citing papers authored by Gina Song
Since SpecializationCitations
This map shows the geographic impact of Gina 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 Gina Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina Song more than expected).
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