• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Nishihara Haruna  西原 春奈

ORCIDConnect your ORCID iD *help
Researcher Number 00726375
Other IDs
Affiliation (based on the past Project Information) *help 2021: 名古屋市立大学, 医薬学総合研究院(医学), 助教
2020: 名古屋市立大学, 医薬学総合研究院(医学), 病院助教
2019: 名古屋市立大学, 医薬学総合研究院(医学), 臨床研究医
Review Section/Research Field
Principal Investigator
Basic Section 53050:Dermatology-related
Keywords
Principal Investigator
次世代シーケンサー / バイオマーカー / 皮膚がん / 免疫チェックポイント阻害薬 / PD-L1 / メルケル細胞癌 / 有棘細胞癌
  • Research Projects

    (1 results)
  • Research Products

    (1 results)
  •  Prognosis and immunological factors in squamous cell carcinoma using next-generation sequencing.Principal Investigator

    • Principal Investigator
      Nishihara Haruna
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 53050:Dermatology-related
    • Research Institution
      Nagoya City University

All 2020

All Journal Article

  • [Journal Article] Increased programmed death ligand-1 expression in metastatic Merkel cell carcinoma associates with better prognosis2020

    • Author(s)
      Nakamura Motoki、Magara Tetsuya、Nojiri Yuka、Nishihara Haruna、Kato Hiroshi、Teramoto Yukiko、Yasuda Masahito、Wada Hidefumi、Ozawa Toshiyuki、Umemori Yukie、Ogata Dai、Kobayashi Tadahiro、Hata Maiko、Nagase Kotaro、Morita Akimichi
    • Journal Title

      Journal of Dermatological Science

      Volume: 97 Issue: 2 Pages: 165-167

    • DOI

      10.1016/j.jdermsci.2019.12.012

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K17810

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi