A
Akira Nakamura
Researcher at University of Tokyo
Publications - 407
Citations - 9949
Akira Nakamura is an academic researcher from University of Tokyo. The author has contributed to research in topics: Catalysis & Crystal structure. The author has an hindex of 51, co-authored 402 publications receiving 9589 citations. Previous affiliations of Akira Nakamura include Showa Denko & Kobe University.
Papers
More filters
Journal ArticleDOI
A new model for dioxygen binding in hemocyanin. Synthesis, characterization, and molecular structure of the .mu.-.eta.2:.eta.2 peroxo dinuclear copper(II) complexes, [Cu(HB(3,5-R2pz)3)]2(O2) (R = isopropyl and Ph)
Nobumasa Kitajima,Kiyoshi Fujisawa,Chisato Fujimoto,Yoshihiko Moro-oka,Shinji Hashimoto,Teizo Kitagawa,Koshiro Toriumi,Kazuyuki Tatsumi,Akira Nakamura +8 more
TL;DR: In this article, the synthesis and characterization of μ-η 2 : η 2 peroxo dinuclear copper(II) complexes which to oxyhemocyanin (or oxytyrosinase) in their physicochemical properties are presented.
Journal ArticleDOI
Synthesis of monodispersed high molecular weight polymers and isolation of an organolanthanide(III) intermediate coordinated by a penultimate poly(MMA) unit
Journal ArticleDOI
Synthesis of high molecular weight poly(methyl methacrylate) with extremely low polydispersity by the unique function of organolanthanide(III) complexes
Hajime Yasuda,Hitoshi Yamamoto,Masahiro Yamashita,Kiyohiko Yokota,Akira Nakamura,Shigenobu Miyake,Yasushi Kai,Nobuko Kanehisa +7 more
TL;DR: In this article, a living fashion polymerization of methyl methacrylates by bis(pentamethylcyclopentadienyl)samarium hydride, [Sm(C 5 Me 5 ) 2 H] 2, in toluene was found to afford the polymers of M n > 100×10 3 with extremely low polydispersity.
Journal ArticleDOI
Predictors of the efficacy of interferon therapy in chronic hepatitis C virus infection. Tokyo-Chiba Hepatitis Research Group
Yasushi Shiratori,Naoya Kato,O. Yokosuka,F. Imazeki,E Hashimoto,Naoto Hayashi,Akira Nakamura,M Asada,H Kuroda,Noriko Tanaka,Yoshihiro Arakawa,Masao Omata +11 more
TL;DR: This prospective study showed that virus load, HCV serotype, and IFN dose are important predictors of the virological response to IFN therapy but virus load is the most important factor influencing the efficacy of IFN.