Jun Kuyama

About

Jun Kuyama is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Jun Kuyama has authored 18 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Jun Kuyama’s work include Multiple Myeloma Research and Treatments (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Platelet Disorders and Treatments (3 papers). Jun Kuyama is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Platelet Disorders and Treatments (3 papers). Jun Kuyama collaborates with scholars based in Japan, Hong Kong and United States. Jun Kuyama's co-authors include Yoshio Kanayama, Toshiharu Tamaki, Masato Hanada, Hironori Take and Seiichiro Tarui and has published in prestigious journals such as International Journal of Cancer, Cancer Science and Journal of Gastroenterology.

In The Last Decade

Fields of papers citing papers by Jun Kuyama

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

Countries citing papers authored by Jun Kuyama

Since Specialization

Citations

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

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