Sha Ma
About
Sha Ma is a scholar working on Molecular Biology, Rheumatology and Oncology.
According to data from OpenAlex, Sha Ma has authored 69 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Rheumatology and 10 papers in Oncology. Recurrent topics in Sha Ma’s work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (6 papers). Sha Ma is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (6 papers). Sha Ma collaborates with scholars based in China, United States and United Kingdom. Sha Ma's co-authors include Fang He, Kailin Xu, Song Jin and Jun Lin and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Cancer.
In The Last Decade
Fields of papers citing papers by Sha Ma
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 Ma. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sha Ma may publish in the future.
Countries citing papers authored by Sha Ma
Since SpecializationCitations
This map shows the geographic impact of Sha Ma'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 Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Ma more than expected).
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