Sachi Kato

About

Sachi Kato is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, Sachi Kato has authored 25 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Surgery. Recurrent topics in Sachi Kato’s work include Topic Modeling (6 papers), Pluripotent Stem Cells Research (6 papers) and Pancreatic Islet Dysfunction and Regeneration (6 papers). Sachi Kato is often cited by papers focused on Topic Modeling (6 papers), Pluripotent Stem Cells Research (6 papers) and Pancreatic Islet Dysfunction and Regeneration (6 papers). Sachi Kato collaborates with scholars based in Japan, France and United States. Sachi Kato's co-authors include Charles Plessy, Stéphane Poulain, Taketomo Kido, Éric Leclerc and Atsushi Miyajima and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Genome Research.

In The Last Decade

Fields of papers citing papers by Sachi Kato

Since Specialization

EngineeringComputer 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 Sachi Kato. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sachi Kato may publish in the future.

Countries citing papers authored by Sachi Kato

Since Specialization

Citations

This map shows the geographic impact of Sachi Kato'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 Sachi Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachi Kato more than expected).

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