Xing Ma

About

Xing Ma is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xing Ma has authored 23 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Xing Ma’s work include Pluripotent Stem Cells Research (4 papers), Arsenic contamination and mitigation (3 papers) and CRISPR and Genetic Engineering (3 papers). Xing Ma is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Arsenic contamination and mitigation (3 papers) and CRISPR and Genetic Engineering (3 papers). Xing Ma collaborates with scholars based in China, United States and Australia. Xing Ma's co-authors include Juhua Zhuang, Yanan Song, Saifei He, Wei Xia and Miao Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Development and The Science of The Total Environment.

In The Last Decade

Fields of papers citing papers by Xing Ma

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

Countries citing papers authored by Xing Ma

Since Specialization

Citations

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

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