Institution
Aix-Marseille University
Education•Marseille, France•
About: Aix-Marseille University is a education organization based out in Marseille, France. It is known for research contribution in the topics: Population & Galaxy. The organization has 24326 authors who have published 54240 publications receiving 1455416 citations. The organization is also known as: University Aix-Marseille & université d'Aix-Marseille.
Topics: Population, Galaxy, Large Hadron Collider, Redshift, Star formation
Papers published on a yearly basis
Papers
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TL;DR: It is shown that the transcription factor Tbx18 selectively marks pericytes and vascular smooth muscle cells in multiple organs of adult mouse and suggests that the plasticity observed in vitro or following transplantation in vivo arises from artificial cell manipulations ex vivo.
373 citations
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TL;DR: The Spinal Cord Toolbox is introduced, a comprehensive software dedicated to the processing of spinal cord MRI data that is tailored towards standardization and automation of the processing pipeline, versatility, modularity, and it follows guidelines of software development and distribution.
371 citations
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European Bioinformatics Institute1, Spanish National Research Council2, École Normale Supérieure3, Centre national de la recherche scientifique4, Pierre-and-Marie-Curie University5, Vrije Universiteit Brussel6, University of Arizona7, University of Milano-Bicocca8, Aix-Marseille University9, Massachusetts Institute of Technology10, Stazione Zoologica Anton Dohrn11, Commissariat à l'énergie atomique et aux énergies alternatives12, University of Bremen13, University College Dublin14, Bigelow Laboratory For Ocean Sciences15, IFREMER16
TL;DR: The structure, robustness, and dynamics of ocean plankton ecosystems remain poorly understood due to sampling, analysis, and computational limitations, and the Tara Oceans consortium organizes expeditions to help fill this gap.
Abstract: With biology becoming quantitative, systems-level studies can now be performed at spatial scales ranging from molecules to ecosystems. Biological data generated consistently across scales can be integrated with physico-chemical contextual data for a truly holistic approach, with a profound impact on our understanding of life [1]–[5]. Marine ecosystems are crucial in the regulation of Earth's biogeochemical cycles and climate [6],[7]. Yet their organization, evolution, and dynamics remain poorly understood [8],[9]. The Tara Oceans project was launched in September 2009 for a 3-year study of the global ocean ecosystem aboard the ship Tara. A unique sampling programme encompassing optical and genomic methods to describe viruses, bacteria, archaea, protists, and metazoans in their physico-chemical environment has been implemented. Starting as a grassroots initiative of a few scientists, the project has grown into a global consortium of over 100 specialists from diverse disciplines, including oceanography, microbial ecology, genomics, molecular, cellular, and systems biology, taxonomy, bioinformatics, data management, and ecosystem modeling. This multidisciplinary community aims to generate systematic, open access datasets usable for probing the morphological and molecular makeup, diversity, evolution, ecology, and global impacts of plankton on the Earth system.
370 citations
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National and Kapodistrian University of Athens1, Paris Diderot University2, Université libre de Bruxelles3, Catholic University of the Sacred Heart4, German Cancer Research Center5, Medical University of Graz6, Versailles Saint-Quentin-en-Yvelines University7, National Institute for Health Research8, Odense University Hospital9, Aix-Marseille University10
TL;DR: The EDF-EADO-EORTC consensus group recommends a standardised minimal margin of 5 mm even for low-risk tumours and a lymph node ultrasound is highly recommended, particularly in tumours with high-risk characteristics.
370 citations
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TL;DR: In this paper, a study of the X-ray to optical properties of a sample of 545 x-ray selected type 1 AGN, from the XMM-COSMOS survey, over a wide range of redshifts (0.04, 4.25, and 40.6), was presented.
Abstract: We present a study of the X-ray to optical properties of a sample of 545 X-ray selected type 1 AGN, from the XMM-COSMOS survey, over a wide range of redshifts (0.04 \textless z \textless 4.25) and X-ray luminosities (40.6 \textless= Log L([2-10]) (keV) \textless= 45.3). About 60% of them are spectroscopically identified type 1 AGN, while the others have a reliable photometric redshift and are classified as type 1 AGN on the basis of their multi-band Spectral Energy Distributions. We discuss the relationship between UV and X-ray luminosity, as parameterized by the alpha(ox) spectral slope, and its dependence on redshift and luminosity. We compare our findings with previous investigations of optically selected broad-line AGN (mostly from SDSS). A highly significant correlation between alpha(ox) and L(2500) angstrom is found, in agreement with previous investigations of optically selected samples. We calculate bolometric corrections, k(bol), for the whole sample using hard X-ray luminosities (L([2-10] keV)), and the Eddington ratios for a subsample of 150 objects for which black hole mass estimates are available. We confirm the trend of increasing bolometric correction with increasing Eddington ratio as proposed in previous works. A tight correlation is found between alpha(ox) and k(bol), which can be used to estimate accurate bolometric corrections using only optical and X-ray data. We find a significant correlation between alpha(ox) and Eddington ratio, in which the ratio between X-ray and optical flux decreases with increasing Eddington ratio.
369 citations
Authors
Showing all 24784 results
Name | H-index | Papers | Citations |
---|---|---|---|
Didier Raoult | 173 | 3267 | 153016 |
Andrea Bocci | 172 | 2402 | 176461 |
Marc Humbert | 149 | 1184 | 100577 |
Carlo Rovelli | 146 | 1502 | 103550 |
Marc Besancon | 143 | 1799 | 106869 |
Jian Yang | 142 | 1818 | 111166 |
Josh Moss | 139 | 1019 | 89255 |
Maksym Titov | 139 | 1573 | 128335 |
Bernard Henrissat | 139 | 593 | 100002 |
R. D. Kass | 138 | 1920 | 107907 |
Stylianos E. Antonarakis | 138 | 746 | 93605 |
Jean-Paul Kneib | 138 | 805 | 89287 |
Brad Abbott | 137 | 1566 | 98604 |
Shu Li | 136 | 1001 | 78390 |
Georges Aad | 135 | 1121 | 88811 |