Institution
Pompeu Fabra University
Education•Barcelona, Spain•
About: Pompeu Fabra University is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Population & Context (language use). The organization has 8093 authors who have published 23570 publications receiving 858431 citations. The organization is also known as: Universitat Pompeu Fabra & UPF.
Topics: Population, Context (language use), Gene, Computer science, Politics
Papers published on a yearly basis
Papers
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University of North Carolina at Chapel Hill1, Buck Institute for Research on Aging2, University of California, San Francisco3, Broad Institute4, Pompeu Fabra University5, University of California, Santa Cruz6, Brown University7, Washington University in St. Louis8, University of Texas MD Anderson Cancer Center9, University of Southern California10, Sage Bionetworks11, BC Cancer Agency12, Catalan Institution for Research and Advanced Studies13, National Institutes of Health14
TL;DR: An integrative analysis using five genome-wide platforms and one proteomic platform on 3,527 specimens from 12 cancer types revealed a unified classification into 11 major subtypes, revealing several distinct cancer types found to converge into common subtypes.
1,259 citations
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TL;DR: In this article, the concepts of sigma-convergence, absolute beta-concave, and conditional beta-consistency were applied to a variety of data sets that include a large cross-section of 110 countries, the subsample of OECD countries, and regions within several European countries.
Abstract: The concepts of sigma-convergence, absolute beta-convergence and conditional beta-convergence are discussed in this paper. The concepts are applied to a variety of data sets that include a large cross-section of 110 countries, the subsample of OECD countries, the states within the United States, the prefectures of Japan, and regions within several European countries. Except for the large cross-section of countries, all data sets display strong evidence of sigma-convergence and absolute beta-convergence. The cross-section of countries exhibits sigma-divergence and conditional beta-convergence. The speed of conditional convergence, which is very similar across data sets, is close to 2 percent per year. Copyright 1996 by Royal Economic Society.
1,244 citations
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TL;DR: The data provide the first direct evidence for the source of proliferating cardiomyocytes during zebrafish heart regeneration and indicate that stem or progenitor cells are not significantly involved in this process.
Abstract: Although mammalian hearts show almost no ability to regenerate, there is a growing initiative to determine whether existing cardiomyocytes or progenitor cells can be coaxed into eliciting a regenerative response. In contrast to mammals, several non-mammalian vertebrate species are able to regenerate their hearts, including the zebrafish, which can fully regenerate its heart after amputation of up to 20% of the ventricle. To address directly the source of newly formed cardiomyocytes during zebrafish heart regeneration, we first established a genetic strategy to trace the lineage of cardiomyocytes in the adult fish, on the basis of the Cre/lox system widely used in the mouse. Here we use this system to show that regenerated heart muscle cells are derived from the proliferation of differentiated cardiomyocytes. Furthermore, we show that proliferating cardiomyocytes undergo limited dedifferentiation characterized by the disassembly of their sarcomeric structure, detachment from one another and the expression of regulators of cell-cycle progression. Specifically, we show that the gene product of polo-like kinase 1 (plk1) is an essential component of cardiomyocyte proliferation during heart regeneration. Our data provide the first direct evidence for the source of proliferating cardiomyocytes during zebrafish heart regeneration and indicate that stem or progenitor cells are not significantly involved in this process.
1,195 citations
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Ludwig Maximilian University of Munich1, Uppsala University2, Tel Aviv University3, Oregon State University4, Medical University Plovdiv5, Wageningen University and Research Centre6, Pompeu Fabra University7, University of British Columbia8, Technische Universität München9, University of Edinburgh10, University of Wollongong11
TL;DR: In this article, potential pathways linking greenspace to health are presented in three domains, which emphasize three general functions of greenspace: reducing harm (e.g., reducing exposure to air pollution, noise and heat), restoring capacities (i.e., attention restoration and physiological stress recovery), and encouraging physical activity and facilitating social cohesion). Interrelations between among the three domains are also noted.
1,187 citations
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TL;DR: The DisGeNET platform, a knowledge management platform integrating and standardizing data about disease associated genes and variants from multiple sources, is an interoperable resource supporting a variety of applications in genomic medicine and drug R&D.
Abstract: One of the most pressing challenges in genomic medicine is to understand the role played by genetic variation in health and disease. Thanks to the exploration of genomic variants at large scale, hundreds of thousands of disease-associated loci have been uncovered. However, the identification of variants of clinical relevance is a significant challenge that requires comprehensive interrogation of previous knowledge and linkage to new experimental results. To assist in this complex task, we created DisGeNET (http://www.disgenet.org/), a knowledge management platform integrating and standardizing data about disease associated genes and variants from multiple sources, including the scientific literature. DisGeNET covers the full spectrum of human diseases as well as normal and abnormal traits. The current release covers more than 24 000 diseases and traits, 17 000 genes and 117 000 genomic variants. The latest developments of DisGeNET include new sources of data, novel data attributes and prioritization metrics, a redesigned web interface and recently launched APIs. Thanks to the data standardization, the combination of expert curated information with data automatically mined from the scientific literature, and a suite of tools for accessing its publicly available data, DisGeNET is an interoperable resource supporting a variety of applications in genomic medicine and drug R&D.
1,183 citations
Authors
Showing all 8248 results
Name | H-index | Papers | Citations |
---|---|---|---|
Andrei Shleifer | 171 | 514 | 271880 |
Paul Elliott | 153 | 773 | 103839 |
Bert Brunekreef | 124 | 806 | 81938 |
Philippe Aghion | 122 | 507 | 73438 |
Anjana Rao | 118 | 337 | 61395 |
Jordi Sunyer | 115 | 798 | 57211 |
Kenneth J. Arrow | 113 | 411 | 111221 |
Xavier Estivill | 110 | 673 | 59568 |
Roderic Guigó | 108 | 304 | 106914 |
Mark J. Nieuwenhuijsen | 107 | 647 | 49080 |
Jordi Alonso | 107 | 523 | 64058 |
Alfonso Valencia | 106 | 542 | 55192 |
Luis Serrano | 105 | 452 | 42515 |
Vadim N. Gladyshev | 102 | 490 | 34148 |
Josep M. Antó | 100 | 493 | 38663 |