Song Mei

46 papers and 643 indexed citations i.

About

Song Mei is a scholar working on Molecular Biology, Food Science and Biochemistry. According to data from OpenAlex, Song Mei has authored 46 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Food Science and 9 papers in Biochemistry. Recurrent topics in Song Mei’s work include Phytochemicals and Antioxidant Activities (9 papers), MicroRNA in disease regulation (7 papers) and Fermentation and Sensory Analysis (7 papers). Song Mei is often cited by papers focused on Phytochemicals and Antioxidant Activities (9 papers), MicroRNA in disease regulation (7 papers) and Fermentation and Sensory Analysis (7 papers). Song Mei collaborates with scholars based in China, United States and Canada. Song Mei's co-authors include Chengyu Jiang, Yan Zhao, Xiaofen Du, Yiming Ma and Elizabeth Tomasino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Fields of papers citing papers by Song Mei

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 Song Mei. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Mei may publish in the future.

Countries citing papers authored by Song Mei

Since Specialization
Citations

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

Rankless by CCL
2025