Institution
Oregon State University
Education•Corvallis, Oregon, United States•
About: Oregon State University is a education organization based out in Corvallis, Oregon, United States. It is known for research contribution in the topics: Population & Climate change. The organization has 28192 authors who have published 64044 publications receiving 2634108 citations. The organization is also known as: Oregon Agricultural College & OSU.
Topics: Population, Climate change, Gene, Upwelling, Soil water
Papers published on a yearly basis
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Humboldt University of Berlin1, Oregon Health & Science University2, Queen Mary University of London3, Lawrence Berkeley National Laboratory4, European Bioinformatics Institute5, Oregon State University6, University of North Carolina at Chapel Hill7, Curtin University8, Government of Western Australia9, Chestnut Hill College10, Vrije Universiteit Brussel11, Garvan Institute of Medical Research12, University of Toronto13, National Institutes of Health14, Medical College of Wisconsin15, Pompeu Fabra University16, Manchester Royal Eye Hospital17, French Institute of Health and Medical Research18, Sanford Health19, Stanford University20, Utrecht University21, Newcastle University22, Icahn School of Medicine at Mount Sinai23, University College London24, University of Strasbourg25, Children's Hospital of Philadelphia26, University of Connecticut27
TL;DR: The HPO’s interoperability with other ontologies has enabled it to be used to improve diagnostic accuracy by incorporating model organism data and plays a key role in the popular Exomiser tool, which identifies potential disease-causing variants from whole-exome or whole-genome sequencing data.
Abstract: The Human Phenotype Ontology (HPO)-a standardized vocabulary of phenotypic abnormalities associated with 7000+ diseases-is used by thousands of researchers, clinicians, informaticians and electronic health record systems around the world. Its detailed descriptions of clinical abnormalities and computable disease definitions have made HPO the de facto standard for deep phenotyping in the field of rare disease. The HPO's interoperability with other ontologies has enabled it to be used to improve diagnostic accuracy by incorporating model organism data. It also plays a key role in the popular Exomiser tool, which identifies potential disease-causing variants from whole-exome or whole-genome sequencing data. Since the HPO was first introduced in 2008, its users have become both more numerous and more diverse. To meet these emerging needs, the project has added new content, language translations, mappings and computational tooling, as well as integrations with external community data. The HPO continues to collaborate with clinical adopters to improve specific areas of the ontology and extend standardized disease descriptions. The newly redesigned HPO website (www.human-phenotype-ontology.org) simplifies browsing terms and exploring clinical features, diseases, and human genes.
532 citations
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TL;DR: This paper shows how this method is based on the construction of the generalized inverse from the singular value decomposition of a set of CD spectra corresponding to proteins whose secondary structures are known from X-ray crystallography without resorting to least-squares fitting and standard matrix inversion techniques.
531 citations
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TL;DR: It appears that brain membranes contain a corticosteroid receptor that could participate in the regulation of behavior, and these binding sites were localized by receptor autoradiography in the neuropil, outside the regions of perikarya.
Abstract: Steroids may rapidly alter neuronal function and behavior through poorly characterized, direct actions on neuronal membranes. The membrane-bound receptors mediating these behavioral responses have not been identified. [3H]Corticosterone labels a population of specific, high-affinity recognition sites (dissociation constant = 0.51 nanomolar) in synaptic membranes from an amphibian brain. These binding sites were localized by receptor autoradiography in the neuropil, outside the regions of perikarya. The affinities of corticoids for this [3H]corticosterone binding site were linearly related to their potencies in rapidly suppressing male reproductive behavior. Thus, it appears that brain membranes contain a corticosteroid receptor that could participate in the regulation of behavior.
531 citations
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University of California, Berkeley1, Oak Ridge National Laboratory2, Oregon State University3, Dresden University of Technology4, University of Nebraska–Lincoln5, University of Antwerp6, University of Edinburgh7, Institut national de la recherche agronomique8, United States Forest Service9, Duke University10, University of Helsinki11, Harvard University12, Max Planck Society13, University of Bayreuth14, University of New Hampshire15
TL;DR: In this article, the authors adapted methods of gap filling for NEE (net ecosystem exchange of carbon) to energy fluxes and applied them to data sets available from the EUROFLUX and AmeriFlux eddy covariance databases.
531 citations
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Chinese Academy of Sciences1, Center for Earth Resources Observation and Science2, University of California, Berkeley3, Dresden University of Technology4, National Science Foundation5, University of California, Irvine6, United States Forest Service7, South China Agricultural University8, Oregon State University9, Duke University10, University of Helsinki11, Harvard University12
TL;DR: In this paper, the authors developed a light use efficiency (LUE) daily GPP model from eddy covariance (EC) measurements, which is driven by only four variables: normalized difference vegetation index (NDVI), photosynthetically active radiation (PAR), air temperature, and the Bowen ratio of sensible to latent heat flux (used to calculate moisture stress).
529 citations
Authors
Showing all 28447 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert Stone | 160 | 1756 | 167901 |
Menachem Elimelech | 157 | 547 | 95285 |
Thomas J. Smith | 140 | 1775 | 113919 |
Harold A. Mooney | 135 | 450 | 100404 |
Jerry M. Melillo | 134 | 383 | 68894 |
John F. Thompson | 132 | 1420 | 95894 |
Thomas N. Williams | 132 | 1145 | 95109 |
Peter M. Vitousek | 127 | 352 | 96184 |
Steven W. Running | 126 | 355 | 76265 |
Vincenzo Di Marzo | 126 | 659 | 60240 |
J. D. Hansen | 122 | 975 | 76198 |
Peter Molnar | 118 | 446 | 53480 |
Michael R. Hoffmann | 109 | 500 | 63474 |
David Pollard | 108 | 438 | 39550 |
David J. Hill | 107 | 1364 | 57746 |