Min Song

About

Min Song is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Min Song has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Min Song’s work include Angiogenesis and VEGF in Cancer (8 papers), Probability and Risk Models (5 papers) and Epigenetics and DNA Methylation (5 papers). Min Song is often cited by papers focused on Angiogenesis and VEGF in Cancer (8 papers), Probability and Risk Models (5 papers) and Epigenetics and DNA Methylation (5 papers). Min Song collaborates with scholars based in China, United States and Hong Kong. Min Song's co-authors include Xiumei Gao, Bailin Li, Zhirui Fang, Xiaoyi Mi and Stacey D. Finley and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

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

Countries citing papers authored by Min Song

Since Specialization

Citations

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

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