Mei Song
About
Mei Song is a scholar working on Molecular Biology, Epidemiology and Cancer Research.
According to data from OpenAlex, Mei Song has authored 71 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Epidemiology and 16 papers in Cancer Research. Recurrent topics in Mei Song’s work include Liver Disease Diagnosis and Treatment (10 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (9 papers). Mei Song is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (9 papers). Mei Song collaborates with scholars based in China, United States and Japan. Mei Song's co-authors include Keqing Shi, Zhuo Lin, Xiaojing Ma, Ming‐Hua Zheng and Xueyi Wang and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Biomaterials.
In The Last Decade
Fields of papers citing papers by Mei 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 Mei Song. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mei Song may publish in the future.
Countries citing papers authored by Mei Song
Since SpecializationCitations
This map shows the geographic impact of Mei 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 Mei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Song more than expected).
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