Tianyu Song

About

Tianyu Song is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Tianyu Song has authored 29 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Oncology. Recurrent topics in Tianyu Song’s work include Protein Degradation and Inhibitors (5 papers), Ubiquitin and proteasome pathways (5 papers) and Biosynthesis and Engineering of Terpenoids (4 papers). Tianyu Song is often cited by papers focused on Protein Degradation and Inhibitors (5 papers), Ubiquitin and proteasome pathways (5 papers) and Biosynthesis and Engineering of Terpenoids (4 papers). Tianyu Song collaborates with scholars based in China, United States and United Kingdom. Tianyu Song's co-authors include Yong Cang, Fuli Wang, Ge Yao, Jiye Liu and Hui Jiang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Nature Communications.

In The Last Decade

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

Countries citing papers authored by Tianyu Song

Since Specialization

Citations

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

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