K Noda

About

K Noda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, K Noda has authored 20 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in K Noda’s work include Granular flow and fluidized beds (3 papers), Hormonal Regulation and Hypertension (3 papers) and Cyclone Separators and Fluid Dynamics (3 papers). K Noda is often cited by papers focused on Granular flow and fluidized beds (3 papers), Hormonal Regulation and Hypertension (3 papers) and Cyclone Separators and Fluid Dynamics (3 papers). K Noda collaborates with scholars based in Japan. K Noda's co-authors include Michio Takahashi, Kunio Shiota, Shigeo Uchida, Yoshihide Mawatari and Fumiko Nishikawa and has published in prestigious journals such as Biochemical Journal, Neuroscience and Japanese Journal of Applied Physics.

In The Last Decade

Fields of papers citing papers by K Noda

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

Countries citing papers authored by K Noda

Since Specialization

Citations

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

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