Si Shi
About
Si Shi is a scholar working on Oncology, Molecular Biology and Cancer Research.
According to data from OpenAlex, Si Shi has authored 190 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Oncology, 89 papers in Molecular Biology and 57 papers in Cancer Research. Recurrent topics in Si Shi’s work include Pancreatic and Hepatic Oncology Research (73 papers), Epigenetics and DNA Methylation (21 papers) and Cancer, Hypoxia, and Metabolism (20 papers). Si Shi is often cited by papers focused on Pancreatic and Hepatic Oncology Research (73 papers), Epigenetics and DNA Methylation (21 papers) and Cancer, Hypoxia, and Metabolism (20 papers). Si Shi collaborates with scholars based in China, United States and Canada. Si Shi's co-authors include Xianjun Yu, Jin Xu, Chen Liang, Qingcai Meng and Jie Hua and has published in prestigious journals such as Nano Letters, Biomaterials and Cancer Research.
In The Last Decade
Fields of papers citing papers by Si Shi
Since SpecializationEngineeringComputer 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 Si Shi. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Si Shi may publish in the future.
Countries citing papers authored by Si Shi
Since SpecializationCitations
This map shows the geographic impact of Si 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 Si Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Shi more than expected).
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