Junichi Sasaki

InstitutionKeio University School of Medicine
AddressTokyo
Japan
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    Publication Timeline
    COVID-19 publications
    Bar chart showing 5 Covid-19 publications, with a maximum of 2 publications in April 2021
    All Publications
    Bar chart showing 76 publications over 19 distinct years, with a maximum of 9 publications in 2017 and 2018
    These graphs show COVID-19 publications by month since August 2019 and all publications written by authors of COVID-19 publications over the past 30 years.

    To see the data from both graphs as text, click here.
    Publication Field Summary
    This graph shows the number and percent of publications by field. Fields are based on how the National Library of Medicine (NLM) classifies the publications' journals and might not represent the specific topics of the publications. Note that an individual publication can be assigned to more than one field. As a result, the publication counts in this graph might add up to more than the number of publications the person has written. To see the data as text, click here.
    Publication List
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications.
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    PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Yamamoto R, Sato Y, Matsumura K, Sasaki J. Characteristics of burn injury during COVID-19 pandemic in Tokyo: A descriptive study. Burns Open. 2021 Jul 03. PMID: 34254050.
      Citations:    
    2. Kondo Y, Kaneko Y, Takei H, Tamai H, Kabata H, Suhara T, Yamamoto R, Nagata H, Ishii M, Sasaki J, Hasegawa N, Fukunaga K, Takeuchi T. COVID-19 shares clinical features with anti-melanoma differentiation-associated protein 5 positive dermatomyositis and adult Still's disease. Clin Exp Rheumatol. 2021 May-Jun; 39(3):631-638. PMID: 33886458.
      Citations: 1     Fields:    Translation:Humans
    3. Nangaku M, Kadowaki T, Yotsuyanagi H, Ohmagari N, Egi M, Sasaki J, Sakamoto T, Hasegawa Y, Ogura T, Chiba S, Node K, Suzuki R, Yamaguchi Y, Murashima A, Ikeda N, Morishita E, Yuzawa K, Moriuchi H, Hayakawa S, Nishi D, Irisawa A, Miyamoto T, Suzuki H, Sone H, Fujino Y. The Japanese Medical Science Federation COVID-19 Expert Opinion English Version. JMA J. 2021 Apr 15; 4(2):148-162. PMID: 33997449.
      Citations:    
    4. Morimura N, Mizobata Y, Sugita M, Takeda S, Kiyozumi T, Shoko T, Inoue Y, Otomo Y, Sakurai A, Koido Y, Tanabe S, Okumura T, Yamasawa F, Tanaka H, Kinoshi T, Kaku K, Matsuda K, Kitamura N, Hayakawa T, Kuroda Y, Kuroki Y, Sasaki J, Oda J, Inokuchi M, Kakuta T, Arai S, Sato N, Matsuura H, Nozawa M, Osamura T, Yamashita K, Okudera H, Kawana A, Koshinaga T, Hirano S, Sugawara E, Kamata M, Tajiri Y, Kohno M, Suzuki M, Nakase H, Suehiro E, Yamase H, Otake H, Morisaki H, Ozawa A, Takahashi S, Otsuka K, Harikae K, Kishi K, Mizuno H, Nakajima H, Ueta H, Nagayama M, Kikuchi M, Yokota H, Shimazu T, Yukioka T. Medicine at mass gatherings: current progress of preparedness of emergency medical services and disaster medical response during 2020 Tokyo Olympic and Paralympic Games from the perspective of the Academic Consortium (AC2020). Acute Med Surg. 2021 Jan-Dec; 8(1):e626. PMID: 33552526.
      Citations: 1     
    5. Fukushima T, Kabata H, Yamamoto R, Suhara T, Uwamino Y, Kondo Y, Masaki K, Kamata H, Nagata H, Homma K, Kaneko Y, Ishii M, Sasaki J, Morisaki H, Hasegawa N, Fukunaga K. The real-time reverse transcription-polymerase chain reaction threshold cycle values for severe acute respiratory syndrome coronavirus 2 predict the prognosis of coronavirus disease 2019 pneumonia. Respir Investig. 2021 May; 59(3):360-363. PMID: 33582075.
      Citations: 3     Fields:    Translation:Humans