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日本語

AKIMOTO Kazunori  Professor
Tokyo University of Science, Faculty of Pharmaceutical Sciences, Department of Medicinal and Life Sciences
Profile | Topics | Laboratories | Assigned Courses(44)
Refereed Papers(76) | Refereed Proceedings(1) | Other Papers(3) | Publications(32) | Presentations(204)
Address 6-3-1, Niijuku, Katsushika-ku, Tokyo 125-8585, Japan
TEL : +81-3-5876-1717
E-mail Address
Homepage https://www.rs.tus.ac.jp/akimotolab/
https://www.rs.tus.ac.jp/de-tasaiensuiryou/
Information about TUS https://www.tus.ac.jp/academics/teacher/lightbox/6655.html
Pure
(Researcher Profiling Tool)
https://tus.elsevierpure.com/ja/persons/kazunori-akimoto
Under-Graduate School
  • 1991, Tokyo University of Science Faculty of Pharmaceutical Sciences 
Graduate School
  • 1996, Tokyo University of Science Faculty of Pharmaceutical Sciences Pharmaceutical Sciences Doctoral Degree
Postgraduate Qualification
  • Tokyo University of Science Ph.D.
Research History
  • 1996-2012 (Yokohama City University, School of Medicine) - Analysis of the role of aPKC in cells, normal tissues, and human cancers
    1998-2000 (The Cancer Institute of JFCR)- Creation and functional analysis of aPKC conditional knockout mice (Cre-loxP mice)
    2012-present (Tokyo University of Science, Faculty of Pharmaceutical Sciences, Department of Life and Pharmaceutical Sciences) - Analysis of cancer stem cell function and drug discovery research based on data science analysis
Employment History
  • 199604-199606 Yokohama City University, School of Medicine, Postdoctoral Researcher
    199607-201203 Yokohama City University, School of Medicine, Assistant Professor
    201204-201803 Tokyo University of Science, Department of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Associate Professor
    201804- Tokyo University of Science, Department of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Professor
Research Keyword Cancer stem cell
Research Area
  • Tumor biology (Data Science, Cancer Stem Cell)
Research Theme
  • Creating innovative concept for medical treatments via understanding intractable cancers and building the foundation for data science medicine.
Academic Awards Received
Academic Society Affiliations
Guest Professor
  • 2016.4.1 - 2018.3.31

    横浜市立大学 医学研究科(客員准教授として)

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