Keiko Mita
About
Keiko Mita is a scholar working on Molecular Biology, Oncology and Genetics.
According to data from OpenAlex, Keiko Mita has authored 13 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Genetics. Recurrent topics in Keiko Mita’s work include Estrogen and related hormone effects (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Protein Degradation and Inhibitors (2 papers). Keiko Mita is often cited by papers focused on Estrogen and related hormone effects (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Protein Degradation and Inhibitors (2 papers). Keiko Mita collaborates with scholars based in Japan and Sweden. Keiko Mita's co-authors include Zhenhuan Zhang, Hirotaka Iwase, Yukio Ando, Hiroko Yamashita and Maho Hamaguchi and has published in prestigious journals such as Clinical Cancer Research, Cancer Letters and Breast Cancer Research and Treatment.
In The Last Decade
Fields of papers citing papers by Keiko Mita
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 Keiko Mita. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Keiko Mita may publish in the future.
Countries citing papers authored by Keiko Mita
Since SpecializationCitations
This map shows the geographic impact of Keiko Mita'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 Keiko Mita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Mita more than expected).
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