Kai Ma

170 papers and 5.5k indexed citations i.

About

Kai Ma is a scholar working on Materials Chemistry, Biomaterials and Molecular Biology. According to data from OpenAlex, Kai Ma has authored 170 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Materials Chemistry, 66 papers in Biomaterials and 43 papers in Molecular Biology. Recurrent topics in Kai Ma’s work include Magnesium Alloys for Biomedical Applications (29 papers), Nanoparticle-Based Drug Delivery (18 papers) and Aluminum Alloys Composites Properties (18 papers). Kai Ma is often cited by papers focused on Magnesium Alloys for Biomedical Applications (29 papers), Nanoparticle-Based Drug Delivery (18 papers) and Aluminum Alloys Composites Properties (18 papers). Kai Ma collaborates with scholars based in China, United States and Germany. Kai Ma's co-authors include Ulrich Wiesner, Tifeng Jiao, Melik Z. Turker, Ruirui Xing and Michelle S. Bradbury and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Fields of papers citing papers by Kai 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 Kai Ma. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai Ma may publish in the future.

Countries citing papers authored by Kai Ma

Since Specialization

Citations

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

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