Kitai Kim
About
Kitai Kim is a scholar working on Molecular Biology, Epidemiology and Oncology.
According to data from OpenAlex, Kitai Kim has authored 70 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Epidemiology and 10 papers in Oncology. Recurrent topics in Kitai Kim’s work include Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (10 papers) and Renal and related cancers (10 papers). Kitai Kim is often cited by papers focused on Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (10 papers) and Renal and related cancers (10 papers). Kitai Kim collaborates with scholars based in United States, South Korea and United Kingdom. Kitai Kim's co-authors include George Q. Daley, Rui Zhao, Hu Li, Jooyong Kim and Cheng Zhang and has published in prestigious journals such as Nature, Science and Nature Genetics.
In The Last Decade
Fields of papers citing papers by Kitai Kim
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 Kitai Kim. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kitai Kim may publish in the future.
Countries citing papers authored by Kitai Kim
Since SpecializationCitations
This map shows the geographic impact of Kitai Kim'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 Kitai Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kitai Kim more than expected).
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