Song Shi

About

Song Shi is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Song Shi has authored 15 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Cancer Research. Recurrent topics in Song Shi’s work include Epigenetics and DNA Methylation (3 papers), Autophagy in Disease and Therapy (3 papers) and MicroRNA in disease regulation (2 papers). Song Shi is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Autophagy in Disease and Therapy (3 papers) and MicroRNA in disease regulation (2 papers). Song Shi collaborates with scholars based in China, United States and Italy. Song Shi's co-authors include Fei Fan, Bin Zhu, Zhenzhen Yao, Yi‐Wei Xu, Shuai Xu, Jianguo Chen, Qiuhong Fang, Junlin Teng, Boya Liu and Hao Qi and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and BMC Genomics.

In The Last Decade

Co-authorship network of co-authors of Song Shi i

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Fields of papers citing papers by Song Shi

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

Countries citing papers authored by Song Shi

Since Specialization

Citations

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

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