Institution
Russian Academy of Sciences
Government•Moscow, Russia•
About: Russian Academy of Sciences is a government organization based out in Moscow, Russia. It is known for research contribution in the topics: Catalysis & Laser. The organization has 272615 authors who have published 417512 publications receiving 4538835 citations. The organization is also known as: RAS & RAN.
Topics: Catalysis, Laser, Population, Magnetic field, Electron
Papers published on a yearly basis
Papers
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TL;DR: The study of phosphate transport mechanisms and their gene regulation will further the understanding of the intimate interaction between the two symbiotic partners.
405 citations
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TL;DR: Parietal neurons may selectively increase activity in earlier sensory areas to enable focused spatial attention in monkeys performing a visual matching task.
Abstract: Attention helps us process potentially important objects by selectively increasing the activity of sensory neurons that represent the relevant locations and features of our environment. This selection process requires top-down feedback about what is important in our environment. We investigated how parietal cortical output influences neural activity in early sensory areas. Neural recordings were made simultaneously from the posterior parietal cortex and an earlier area in the visual pathway, the medial temporal area, of macaques performing a visual matching task. When the monkey selectively attended to a location, the timing of activities in the two regions became synchronized, with the parietal cortex leading the medial temporal area. Parietal neurons may thus selectively increase activity in earlier sensory areas to enable focused spatial attention.
405 citations
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TL;DR: The goal of this review is to systematically analyze currently available experimental data on the variety of effects of macromolecular crowding on a protein molecule to represent one of the most comprehensive compendia of the current knowledge in this exciting area.
Abstract: The intracellular environment represents an extremely crowded milieu, with a limited amount of free water and an almost complete lack of unoccupied space. Obviously, slightly salted aqueous solutions containing low concentrations of a biomolecule of interest are too simplistic to mimic the “real life” situation, where the biomolecule of interest scrambles and wades through the tightly packed crowd. In laboratory practice, such macromolecular crowding is typically mimicked by concentrated solutions of various polymers that serve as model “crowding agents”. Studies under these conditions revealed that macromolecular crowding might affect protein structure, folding, shape, conformational stability, binding of small molecules, enzymatic activity, protein-protein interactions, protein-nucleic acid interactions, and pathological aggregation. The goal of this review is to systematically analyze currently available experimental data on the variety of effects of macromolecular crowding on a protein molecule. The review covers more than 320 papers and therefore represents one of the most comprehensive compendia of the current knowledge in this exciting area.
405 citations
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TL;DR: These investigations demonstrate the utility of OCT as a diagnostic imaging modality in clinical and research dentistry and provide guidance in dental restorative procedures.
Abstract: We use optical coherence tomography (OCT) to perform a comprehensive program of in vivo and in vitro structural imaging of hard and soft tissues within the oral cavity. We have imaged the different types of healthy oral mucosa as well as normal and abnormal tooth structure. OCT is able to differentiate between the various types of keratinized and non-keratinized mucosa with high resolution. OCT is also able to provide detailed structural information on clinical abnormalities (caries and non-caries lesions) in teeth and provide guidance in dental restorative procedures. Our investigations demonstrate the utility of OCT as a diagnostic imaging modality in clinical and research dentistry.
404 citations
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University of Oslo1, Central Institution for Meteorology and Geodynamics2, Russian Academy of Sciences3, University Centre in Svalbard4, Mongolian Academy of Sciences5, University of Fribourg6, University of Copenhagen7, University of Alaska Fairbanks8, University of Ottawa9, Queen's University10, Memorial University of Newfoundland11, Chinese Academy of Sciences12
TL;DR: In this article, an equilibrium state model for the temperature at the top of the permafrost (TTOP model) for the 2000-2016 period, driven by remotely-sensed land surface temperatures, down-scaled ERA-Interim climate reanalysis data, tundra wetness classes and landcover map from the ESA Landcover Climate Change Initiative (CCI), was employed.
404 citations
Authors
Showing all 273043 results
Name | H-index | Papers | Citations |
---|---|---|---|
Eugene V. Koonin | 199 | 1063 | 175111 |
Martin Karplus | 163 | 831 | 138492 |
James M. Tiedje | 150 | 688 | 102287 |
Alexander Belyaev | 142 | 1895 | 100796 |
R. A. Sunyaev | 141 | 848 | 107966 |
Robert Huber | 139 | 671 | 73557 |
Jaap S. Sinninghe Damsté | 134 | 726 | 61947 |
Sergei Gninenko | 131 | 1245 | 88640 |
Vladimir N. Uversky | 131 | 959 | 75342 |
Mikhail Kirsanov | 129 | 1228 | 87573 |
Victor Kim | 129 | 1287 | 87209 |
Christopher Bee | 128 | 960 | 80118 |
Martin Kirakosyan | 128 | 1168 | 78323 |
Vladimir Smakhtin | 128 | 869 | 74383 |
Valery Schegelsky | 128 | 1079 | 82072 |