Institution
Bar-Ilan University
Education•Ramat Gan, Israel•
About: Bar-Ilan University is a education organization based out in Ramat Gan, Israel. It is known for research contribution in the topics: Population & Poison control. The organization has 12835 authors who have published 34964 publications receiving 995648 citations. The organization is also known as: Bar Ilan University & BIU.
Topics: Population, Poison control, Judaism, Anxiety, Electrolyte
Papers published on a yearly basis
Papers
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TL;DR: It is shown that m1A is enriched around the start codon upstream of the first splice site: it preferentially decorates more structured regions around canonical and alternative translation initiation sites, is dynamic in response to physiological conditions, and correlates positively with protein production.
Abstract: Gene expression can be regulated post-transcriptionally through dynamic and reversible RNA modifications. A recent noteworthy example is N(6)-methyladenosine (m(6)A), which affects messenger RNA (mRNA) localization, stability, translation and splicing. Here we report on a new mRNA modification, N(1)-methyladenosine (m(1)A), that occurs on thousands of different gene transcripts in eukaryotic cells, from yeast to mammals, at an estimated average transcript stoichiometry of 20% in humans. Employing newly developed sequencing approaches, we show that m(1)A is enriched around the start codon upstream of the first splice site: it preferentially decorates more structured regions around canonical and alternative translation initiation sites, is dynamic in response to physiological conditions, and correlates positively with protein production. These unique features are highly conserved in mouse and human cells, strongly indicating a functional role for m(1)A in promoting translation of methylated mRNA.
678 citations
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TL;DR: This paper compares the h-indices of a list of highly-cited Israeli researchers based on citations counts retrieved from the Web of Science, Scopus and Google Scholar respectively with results obtained through Google Scholar.
Abstract: This paper compares the h-indices of a list of highly-cited Israeli researchers based on citations counts retrieved from the Web of Science, Scopus and Google Scholar respectively. In several case the results obtained through Google Scholar are considerably different from the results based on the Web of Science and Scopus. Data cleansing is discussed extensively.
672 citations
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TL;DR: The effect of FEC as a co-solvent on the electrochemical performance and surface chemistry of silicon nanowire (SiNW) anodes was thoroughly investigated and thinner and compact surface films were identified for SiNW electrodes cycled in FEC-free solutions.
Abstract: The effect of FEC as a co-solvent on the electrochemical performance and surface chemistry of silicon nanowire (SiNW) anodes was thoroughly investigated. Enhanced electrochemical performance was observed for SiNW anodes in alkyl carbonates electrolyte solutions containing fluoroethylene carbonate (FEC). Reduced irreversible capacity losses accompanied by enhanced and stable reversible capacities over prolonged cycling were achieved with FEC-containing electrolyte solutions. TEM studies provided evidence for the complete and incomplete lithiation of SiNW's in FEC-containing and FEC-free electrolyte solutions, respectively. Scanning electron microscopy (SEM) results proved the formation of much thinner and compact surface films on SiNW's in FEC-containing solutions. However, thicker surface films were identified for SiNW electrodes cycled in FEC-free solutions. SiNW electrodes develop lower impedance in electrolyte solutions containing FEC in contrast to standard (FEC-free) solutions. The surface chemistry ...
671 citations
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TL;DR: It is shown both analytically and numerically that reducing the coupling between the networks leads to a change from a first order percolation phase transition to a second orderpercolation transition at a critical point.
Abstract: We study a system composed from two interdependent networks A and B, where a fraction of the nodes in network A depends on nodes of network B and a fraction of the nodes in network B depends on nodes of network A. Because of the coupling between the networks, when nodes in one network fail they cause dependent nodes in the other network to also fail. This invokes an iterative cascade of failures in both networks. When a critical fraction of nodes fail, the iterative process results in a percolation phase transition that completely fragments both networks. We show both analytically and numerically that reducing the coupling between the networks leads to a change from a first order percolation phase transition to a second order percolation transition at a critical point. The scaling of the percolation order parameter near the critical point is characterized by the critical exponent � ¼ 1.
669 citations
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TL;DR: Experimental results generally verify the theoretical predictions of FKLS, but do find one significant difference between experiment and theory — namely, that the exponential decay of C(x) is observed to set in almost immediately with nonzero x, while the theory predicts that its onset should be decelerated.
Abstract: We verify experimentally for optical waves the striking memory effect predicted very recently by Feng, Kane, Lee, and Stone. We present data for both transmission and reflection, and find general agreement with the theoretical predictions for the linear scale dependence and asymptotic exponential falloff of the memory effect. The theoretical and experimental results suggest that significant information about the spatial variation of the incident waveform is preserved during passage through a highly disordered, strongly multiply scattering medium.
668 citations
Authors
Showing all 13037 results
Name | H-index | Papers | Citations |
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H. Eugene Stanley | 154 | 1190 | 122321 |
Albert-László Barabási | 152 | 438 | 200119 |
Shlomo Havlin | 131 | 1013 | 83347 |
Stuart A. Aaronson | 129 | 657 | 69633 |
Britton Chance | 128 | 1112 | 76591 |
Mark A. Ratner | 127 | 968 | 68132 |
Doron Aurbach | 126 | 797 | 69313 |
Jun Yu | 121 | 1174 | 81186 |
Richard J. Wurtman | 114 | 933 | 53290 |
Amir Lerman | 111 | 877 | 51969 |
Zhu Han | 109 | 1407 | 48725 |
Moussa B.H. Youdim | 107 | 574 | 42538 |
Juan Bisquert | 107 | 450 | 46267 |
Rachel Yehuda | 106 | 461 | 36726 |
Michael F. Green | 106 | 485 | 45707 |