Institution
University of British Columbia
Education•Vancouver, British Columbia, Canada•
About: University of British Columbia is a education organization based out in Vancouver, British Columbia, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 89939 authors who have published 209679 publications receiving 9226862 citations. The organization is also known as: UBC & The University of British Columbia.
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National Institutes of Health1, Science Applications International Corporation2, Invitrogen3, University of California, Berkeley4, University of Iowa5, Lawrence Livermore National Laboratory6, Incyte7, Baylor College of Medicine8, Institute for Systems Biology9, Stanford University10, University of British Columbia11
TL;DR: The National Institutes of Health Mammalian Gene Collection (MGC) Program is a multiinstitutional effort to identify and sequence a cDNA clone containing a complete ORF for each human and mouse gene.
Abstract: The National Institutes of Health Mammalian Gene Collection (MGC) Program is a multiinstitutional effort to identify and sequence a cDNA clone containing a complete ORF for each human and mouse gene. ESTs were generated from libraries enriched for full-length cDNAs and analyzed to identify candidate full-ORF clones, which then were sequenced to high accuracy. The MGC has currently sequenced and verified the full ORF for a nonredundant set of >9,000 human and >6,000 mouse genes. Candidate full-ORF clones for an additional 7,800 human and 3,500 mouse genes also have been identified. All MGC sequences and clones are available without restriction through public databases and clone distribution networks (see http:mgc.nci.nih.gov).
2,184 citations
Icahn School of Medicine at Mount Sinai1, Cleveland Clinic2, University of Alabama at Birmingham3, University of Copenhagen4, University College London5, University of Texas Health Science Center at Houston6, New York University7, University of Pennsylvania8, VU University Amsterdam9, National Multiple Sclerosis Society10, Johns Hopkins University11, Vita-Salute San Raffaele University12, University of Ottawa13, University of Rochester14, University of Basel15, University of Düsseldorf16, Pierre-and-Marie-Curie University17, Autonomous University of Barcelona18, University of Toronto19, University of British Columbia20, Sapienza University of Rome21, University of Texas Southwestern Medical Center22, University of California, San Francisco23
TL;DR: Refined descriptors that include consideration of disease activity (based on clinical relapse rate and imaging findings) and disease progression are proposed and strategies for future research to better define phenotypes are outlined.
Abstract: Accurate clinical course descriptions (phenotypes) of multiple sclerosis (MS) are important for communication, prognostication, design and recruitment of clinical trials, and treatment decision-making. Standardized descriptions published in 1996 based on a survey of international MS experts provided purely clinical phenotypes based on data and consensus at that time, but imaging and biological correlates were lacking. Increased understanding of MS and its pathology, coupled with general concern that the original descriptors may not adequately reflect more recently identified clinical aspects of the disease, prompted a re-examination of MS disease phenotypes by the International Advisory Committee on Clinical Trials of MS. While imaging and biological markers that might provide objective criteria for separating clinical phenotypes are lacking, we propose refined descriptors that include consideration of disease activity (based on clinical relapse rate and imaging findings) and disease progression. Strategies for future research to better define phenotypes are also outlined.
2,180 citations
2,163 citations
Clinical Trial Service Unit1, University College London2, North Bristol NHS Trust3, University of Würzburg4, The George Institute for Global Health5, Children's Hospital at Westmead6, Peking Union Medical College7, Sultanah Aminah Hospital8, University of British Columbia9, National Institutes of Health10, Brigham and Women's Hospital11, University of Minnesota12, University of Otago13, University of Picardie Jules Verne14, University of Copenhagen15, Chiang Mai University16, Oslo University Hospital17, Charles University in Prague18, Medical University of Silesia19, Utrecht University20, University Medical Center Groningen21, University of Helsinki22, John Radcliffe Hospital23
TL;DR: Reduction of LDL cholesterol with simvastatin 20 mg plus ezetimibe 10 mg daily safely reduced the incidence of major atherosclerotic events in a wide range of patients with advanced chronic kidney disease.
2,123 citations
TL;DR: In this article, a review of the classification schemes of both fully gapped and gapless topological materials is presented, and a pedagogical introduction to the field of topological band theory is given.
Abstract: In recent years an increasing amount of attention has been devoted to quantum materials with topological characteristics that are robust against disorder and other perturbations. In this context it was discovered that topological materials can be classified with respect to their dimension and symmetry properties. This review provides an overview of the classification schemes of both fully gapped and gapless topological materials and gives a pedagogical introduction into the field of topological band theory.
2,123 citations
Authors
Showing all 90682 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Gordon H. Guyatt | 231 | 1620 | 228631 |
| John C. Morris | 183 | 1441 | 168413 |
| Douglas Scott | 178 | 1111 | 185229 |
| John R. Yates | 177 | 1036 | 129029 |
| Deborah J. Cook | 173 | 907 | 148928 |
| Richard A. Gibbs | 172 | 889 | 249708 |
| Evan E. Eichler | 170 | 567 | 150409 |
| James F. Sallis | 169 | 825 | 144836 |
| Michael Snyder | 169 | 840 | 130225 |
| Jiawei Han | 168 | 1233 | 143427 |
| Michael Kramer | 167 | 1713 | 127224 |
| Bruce L. Miller | 163 | 1153 | 115975 |
| Peter A. R. Ade | 162 | 1387 | 138051 |
| Marc W. Kirschner | 162 | 457 | 102145 |
| Kaj Blennow | 160 | 1845 | 116237 |