Institution
Tokyo Institute of Technology
Education•Tokyo, Tôkyô, Japan•
About: Tokyo Institute of Technology is a education organization based out in Tokyo, Tôkyô, Japan. It is known for research contribution in the topics: Thin film & Catalysis. The organization has 46775 authors who have published 101656 publications receiving 2357893 citations. The organization is also known as: Tokyo Tech & Tokodai.
Topics: Thin film, Catalysis, Polymerization, Laser, Phase (matter)
Papers published on a yearly basis
Papers
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TL;DR: PI(4)P5Kalpha is a downstream effector of ARF 6 and when ARF6 is activated by agonist stimulation, it triggers recruitment of a diverse but interactive set of signaling molecules into sites of active cytoskeletal and membrane rearrangement.
803 citations
TL;DR: In this paper, the authors measured the transverse momentum spectra for charged hadrons and neutral pions in the range 1 Gev/c < P-T < 5 GeV/c.
Abstract: Transverse momentum spectra for charged hadrons and for neutral pions in the range 1 Gev/c < P-T < 5 GeV/c have been measured by the PHENIX experiment at RHIC in Au + Au collisions at rootS(NN) = 130 GeV. At high p(T) the spectra from peripheral nuclear collisions are consistent with scaling the spectra from p + p collisions by the average number of binary nucleon-nucleon collisions. The spectra from central collisions are significantly suppressed when compared to the binary-scaled p + p expectation, and also when compared to similarly binary-scaled peripheral collisions, indicating a novel nuclear-medium effect in central nuclear collisions at RHIC energies.
803 citations
TL;DR: The identification and purification from HeLa nuclear extract of a third protein factor required for DRB-sensitive transcription, termed negative elongation factor (NELF), cooperates with DSIF and strongly represses pol II elongation.
800 citations
TL;DR: In this article, the atomic structure of the 7 × 7 reconstructed Si(111) surface has been analyzed by ultra-high vacuum (UHV) transmission electron diffraction (TED).
800 citations
TL;DR: In this paper, the asymptotic distribution is obtained of the order of regression selected by Akaike's information criterion in autoregressive models, and some results of computational experiments are given.
Abstract: SUMMARY The asymptotic distribution is obtained of the order of regression selected by Akaike's information criterion in autoregressive models. The asymptotic quadratic risks of estimates of regression parameters are evaluated when the order is selected by this method. Some results of computational experiments are given.
798 citations
Authors
Showing all 46967 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Matthew Meyerson | 194 | 553 | 243726 |
| Yury Gogotsi | 171 | 956 | 144520 |
| Masayuki Yamamoto | 171 | 1576 | 123028 |
| H. Eugene Stanley | 154 | 1190 | 122321 |
| Takashi Taniguchi | 152 | 2141 | 110658 |
| Shu-Hong Yu | 144 | 799 | 70853 |
| Kazunori Kataoka | 138 | 908 | 70412 |
| Osamu Jinnouchi | 135 | 885 | 86104 |
| Hector F. DeLuca | 133 | 1303 | 69395 |
| Shlomo Havlin | 131 | 1013 | 83347 |
| Hiroyuki Iwasaki | 131 | 1009 | 82739 |
| Kazunari Domen | 130 | 908 | 77964 |
| Hideo Hosono | 128 | 1549 | 100279 |
| Hideyuki Okano | 128 | 1169 | 67148 |
| Andreas Strasser | 128 | 509 | 66903 |