Risa Ueta
About
Risa Ueta is a scholar working on Molecular Biology, Plant Science and Insect Science.
According to data from OpenAlex, Risa Ueta has authored 6 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Plant Science and 2 papers in Insect Science. Recurrent topics in Risa Ueta’s work include CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (3 papers) and Innovation and Socioeconomic Development (2 papers). Risa Ueta is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (3 papers) and Innovation and Socioeconomic Development (2 papers). Risa Ueta collaborates with scholars based in Japan. Risa Ueta's co-authors include Keishi Osakabe, Yuriko Osakabe, Naoki Wada, Shigeo S. Sugano and Takahito Watanabe and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and BMC Plant Biology.
In The Last Decade
Fields of papers citing papers by Risa Ueta
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 Risa Ueta. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Risa Ueta may publish in the future.
Countries citing papers authored by Risa Ueta
Since SpecializationCitations
This map shows the geographic impact of Risa Ueta'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 Risa Ueta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Risa Ueta more than expected).
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