Chao-Zhong Song

About

Chao-Zhong Song is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Chao-Zhong Song has authored 13 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Immunology. Recurrent topics in Chao-Zhong Song’s work include Virus-based gene therapy research (4 papers), Kruppel-like factors research (2 papers) and Cancer Genomics and Diagnostics (2 papers). Chao-Zhong Song is often cited by papers focused on Virus-based gene therapy research (4 papers), Kruppel-like factors research (2 papers) and Cancer Genomics and Diagnostics (2 papers). Chao-Zhong Song collaborates with scholars based in United States and Japan. Chao-Zhong Song's co-authors include George Stamatoyannopoulos, C. Anthony Blau, William Stafford Noble, Qingquan Tang and Károly Tóth and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Fields of papers citing papers by Chao-Zhong 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 Chao-Zhong Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chao-Zhong Song may publish in the future.

Countries citing papers authored by Chao-Zhong Song

Since Specialization

Citations

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

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