Song Fu

About

Song Fu is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Song Fu has authored 10 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Cancer Research. Recurrent topics in Song Fu’s work include Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (3 papers) and Autophagy in Disease and Therapy (2 papers). Song Fu is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (3 papers) and Autophagy in Disease and Therapy (2 papers). Song Fu collaborates with scholars based in China, United States and United Kingdom. Song Fu's co-authors include Shanshan Liu, Hui Jiang, Jun Yang, Lanlan Li and Qinghua Liu and has published in prestigious journals such as The EMBO Journal, Cell Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

Fields of papers citing papers by Song Fu

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

Countries citing papers authored by Song Fu

Since Specialization

Citations

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

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