Mai Okada
About
Mai Okada is a scholar working on Molecular Biology, Biomedical Engineering and Genetics.
According to data from OpenAlex, Mai Okada has authored 22 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Biomedical Engineering and 4 papers in Genetics. Recurrent topics in Mai Okada’s work include 3D Printing in Biomedical Research (4 papers), Protein Structure and Dynamics (3 papers) and Pluripotent Stem Cells Research (3 papers). Mai Okada is often cited by papers focused on 3D Printing in Biomedical Research (4 papers), Protein Structure and Dynamics (3 papers) and Pluripotent Stem Cells Research (3 papers). Mai Okada collaborates with scholars based in Japan, Canada and Russia. Mai Okada's co-authors include Ryuji Kato, Kei Kanie, Hiroyuki Honda, Hiromi Ogata and Shuji Tomoda and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.
In The Last Decade
Fields of papers citing papers by Mai Okada
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 Mai Okada. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mai Okada may publish in the future.
Countries citing papers authored by Mai Okada
Since SpecializationCitations
This map shows the geographic impact of Mai Okada'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 Mai Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Okada more than expected).
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