CW Song
About
CW Song is a scholar working on Immunology, Oncology and Public Health, Environmental and Occupational Health.
According to data from OpenAlex, CW Song has authored 10 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Oncology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in CW Song’s work include Acute Lymphoblastic Leukemia research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Immune Cell Function and Interaction (3 papers). CW Song is often cited by papers focused on Acute Lymphoblastic Leukemia research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Immune Cell Function and Interaction (3 papers). CW Song collaborates with scholars based in United States. CW Song's co-authors include Fatih M. Uckun, KG Waddick, Damian E. Myers, K Gajl-Peczalska, W Jaszcz, JA Ledbetter, AS Fauci, Michael R. Wick, L Souza and SR Mehta and has published in prestigious journals such as Blood.
In The Last Decade
Co-authorship network of co-authors of CW Song i
Fields of papers citing papers by CW 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 CW Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where CW Song may publish in the future.
Countries citing papers authored by CW Song
Since SpecializationCitations
This map shows the geographic impact of CW 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 CW Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CW Song more than expected).
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