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Connection

Hiroshi Matsui to Mice

This is a "connection" page, showing publications Hiroshi Matsui has written about Mice.
Connection Strength

0.153
  1. de la Rica R, Thompson S, Baldi A, Fernandez-Sanchez C, Drain CM, Matsui H. Label-free cancer cell detection with impedimetric transducers. Anal Chem. 2009 Dec 15; 81(24):10167-71.
    View in: PubMed
    Score: 0.036
  2. Yang L, Nuraje N, Bai H, Matsui H. Crossbar assembly of antibody-functionalized peptide nanotubes via biomimetic molecular recognition. J Pept Sci. 2008 Feb; 14(2):203-9.
    View in: PubMed
    Score: 0.032
  3. Zhao Z, Banerjee IA, Matsui H. Simultaneous targeted immobilization of anti-human IgG-coated nanotubes and anti-mouse IgG-coated nanotubes on the complementary antigen-patterned surfaces via biological molecular recognition. J Am Chem Soc. 2005 Jun 29; 127(25):8930-1.
    View in: PubMed
    Score: 0.027
  4. Nuraje N, Banerjee IA, MacCuspie RI, Yu L, Matsui H. Biological bottom-up assembly of antibody nanotubes on patterned antigen arrays. J Am Chem Soc. 2004 Jul 07; 126(26):8088-9.
    View in: PubMed
    Score: 0.025
  5. Raghubir M, Rahman CN, Fang J, Matsui H, Mahajan SS. Osteosarcoma growth suppression by riluzole delivery via iron oxide nanocage in nude mice. Oncol Rep. 2020 01; 43(1):169-176.
    View in: PubMed
    Score: 0.018
  6. Zhang H, Freitas D, Kim HS, Fabijanic K, Li Z, Chen H, Mark MT, Molina H, Martin AB, Bojmar L, Fang J, Rampersaud S, Hoshino A, Matei I, Kenific CM, Nakajima M, Mutvei AP, Sansone P, Buehring W, Wang H, Jimenez JP, Cohen-Gould L, Paknejad N, Brendel M, Manova-Todorova K, Magalh?es A, Ferreira JA, Os?rio H, Silva AM, Massey A, Cubillos-Ruiz JR, Galletti G, Giannakakou P, Cuervo AM, Blenis J, Schwartz R, Brady MS, Peinado H, Bromberg J, Matsui H, Reis CA, Lyden D. Identification of distinct nanoparticles and subsets of extracellular vesicles by asymmetric flow field-flow fractionation. Nat Cell Biol. 2018 03; 20(3):332-343.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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