Ken Sato
About
Ken Sato is a scholar working on Hepatology, Epidemiology and Surgery.
According to data from OpenAlex, Ken Sato has authored 293 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Hepatology, 91 papers in Epidemiology and 58 papers in Surgery. Recurrent topics in Ken Sato’s work include Liver Disease Diagnosis and Treatment (67 papers), Hepatitis C virus research (39 papers) and Liver Disease and Transplantation (28 papers). Ken Sato is often cited by papers focused on Liver Disease Diagnosis and Treatment (67 papers), Hepatitis C virus research (39 papers) and Liver Disease and Transplantation (28 papers). Ken Sato collaborates with scholars based in Japan, United States and China. Ken Sato's co-authors include Masatomo Mori, Hitoshi Takagi, Satoru Kakizaki, Norio Horiguchi and Yuichi Yamazaki and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Gastroenterology.
In The Last Decade
Fields of papers citing papers by Ken Sato
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 Ken Sato. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ken Sato may publish in the future.
Countries citing papers authored by Ken Sato
Since SpecializationCitations
This map shows the geographic impact of Ken Sato'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 Ken Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Sato more than expected).
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