Sha Li
About
Sha Li is a scholar working on Molecular Biology, Genetics and Cancer Research.
According to data from OpenAlex, Sha Li has authored 25 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Sha Li’s work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (2 papers) and CRISPR and Genetic Engineering (2 papers). Sha Li is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (2 papers) and CRISPR and Genetic Engineering (2 papers). Sha Li collaborates with scholars based in China, United States and Singapore. Sha Li's co-authors include Xiong Guan, Zhipeng Huang, Xiaolin Yang, Anagha Deshpande and Matthew R. Johnson and has published in prestigious journals such as Nucleic Acids Research, Food Chemistry and Gene.
In The Last Decade
Fields of papers citing papers by Sha Li
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 Sha Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sha Li may publish in the future.
Countries citing papers authored by Sha Li
Since SpecializationCitations
This map shows the geographic impact of Sha Li'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 Sha Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Li more than expected).
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