Fei Song

About

Fei Song is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Fei Song has authored 56 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Immunology and 8 papers in Cancer Research. Recurrent topics in Fei Song’s work include Signaling Pathways in Disease (9 papers), Galectins and Cancer Biology (7 papers) and MicroRNA in disease regulation (4 papers). Fei Song is often cited by papers focused on Signaling Pathways in Disease (9 papers), Galectins and Cancer Biology (7 papers) and MicroRNA in disease regulation (4 papers). Fei Song collaborates with scholars based in China, United States and Germany. Fei Song's co-authors include Zhi‐Nan Chen, Jian‐Li Jiang, Xiang-Min Yang and Qingqing Dai and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Hepatology.

In The Last Decade

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

Countries citing papers authored by Fei Song

Since Specialization

Citations

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

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