Daniel Kita
About
Daniel Kita is a scholar working on Molecular Biology, Plant Science and Cancer Research.
According to data from OpenAlex, Daniel Kita has authored 10 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Daniel Kita’s work include Plant Reproductive Biology (7 papers), Plant Molecular Biology Research (6 papers) and Photosynthetic Processes and Mechanisms (4 papers). Daniel Kita is often cited by papers focused on Plant Reproductive Biology (7 papers), Plant Molecular Biology Research (6 papers) and Photosynthetic Processes and Mechanisms (4 papers). Daniel Kita collaborates with scholars based in United States, Taiwan and China. Daniel Kita's co-authors include Alice Y. Cheung, Qiaohong Duan, Hen‐Ming Wu, Ming‐Che Liu and Suzy V. Torti and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
In The Last Decade
Fields of papers citing papers by Daniel Kita
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 Daniel Kita. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel Kita may publish in the future.
Countries citing papers authored by Daniel Kita
Since SpecializationCitations
This map shows the geographic impact of Daniel Kita'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 Daniel Kita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kita more than expected).
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