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Institution

Boston University

EducationBoston, Massachusetts, United States
About: Boston University is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 48688 authors who have published 119622 publications receiving 6276020 citations. The organization is also known as: BU & Boston U.


Papers
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Journal ArticleDOI
Haidong Wang1, Mohsen Naghavi1, Christine Allen1, Ryan M Barber1  +841 moreInstitutions (293)
TL;DR: The Global Burden of Disease 2015 Study provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015, finding several countries in sub-Saharan Africa had very large gains in life expectancy, rebounding from an era of exceedingly high loss of life due to HIV/AIDS.

4,804 citations

Journal ArticleDOI
TL;DR: State-of-the-art information is presented and insights are provided into the strengths and limitations of high-resolution ultrasonography of the brachial artery to evaluate vasomotor function, with guidelines for its research application in the study of endothelial physiology.

4,604 citations

Journal ArticleDOI
Theo Vos1, Ryan M Barber1, Brad Bell1, Amelia Bertozzi-Villa1  +686 moreInstitutions (287)
TL;DR: In the Global Burden of Disease Study 2013 (GBD 2013) as mentioned in this paper, the authors estimated the quantities for acute and chronic diseases and injuries for 188 countries between 1990 and 2013.

4,510 citations

Journal ArticleDOI
Kaoru Hagiwara, Ken Ichi Hikasa1, Koji Nakamura, Masaharu Tanabashi1, M. Aguilar-Benitez, Claude Amsler2, R. M. Barnett3, P. R. Burchat4, C. D. Carone5, C. Caso6, G. Conforto7, Olav Dahl3, Michael Doser8, Semen Eidelman9, Jonathan L. Feng10, L. K. Gibbons11, M. C. Goodman12, Christoph Grab13, D. E. Groom3, Atul Gurtu8, Atul Gurtu14, K. G. Hayes15, J.J. Hernández-Rey16, K. Honscheid17, Christopher Kolda18, Michelangelo L. Mangano8, D. M. Manley19, Aneesh V. Manohar20, John March-Russell8, Alberto Masoni, Ramon Miquel3, Klaus Mönig, Hitoshi Murayama3, Hitoshi Murayama21, S. Sánchez Navas13, Keith A. Olive22, Luc Pape8, C. Patrignani6, A. Piepke23, Matts Roos24, John Terning25, Nils A. Tornqvist24, T. G. Trippe3, Petr Vogel26, C. G. Wohl3, Ron L. Workman27, W-M. Yao3, B. Armstrong3, P. S. Gee3, K. S. Lugovsky, S. B. Lugovsky, V. S. Lugovsky, Marina Artuso28, D. Asner29, K. S. Babu30, E. L. Barberio8, Marco Battaglia8, H. Bichsel31, O. Biebel32, P. Bloch8, Robert N. Cahn3, Ariella Cattai8, R.S. Chivukula33, R. Cousins34, G. A. Cowan35, Thibault Damour36, K. Desler, R. J. Donahue3, D. A. Edwards, Victor Daniel Elvira37, Jens Erler38, V. V. Ezhela, A Fassò8, W. Fetscher13, Brian D. Fields39, B. Foster40, Daniel Froidevaux8, Masataka Fukugita41, Thomas K. Gaisser42, L. A. Garren37, H J Gerber13, Frederick J. Gilman43, Howard E. Haber44, C. A. Hagmann29, J.L. Hewett4, Ian Hinchliffe3, Craig J. Hogan31, G. Höhler45, P. Igo-Kemenes46, John David Jackson3, Kurtis F Johnson47, D. Karlen48, B. Kayser37, S. R. Klein3, Konrad Kleinknecht49, I.G. Knowles50, P. Kreitz4, Yu V. Kuyanov, R. Landua8, Paul Langacker38, L. S. Littenberg51, Alan D. Martin52, Tatsuya Nakada53, Tatsuya Nakada8, Meenakshi Narain33, Paolo Nason, John A. Peacock54, H. R. Quinn55, Stuart Raby17, Georg G. Raffelt32, E. A. Razuvaev, B. Renk49, L. Rolandi8, Michael T Ronan3, L.J. Rosenberg54, C.T. Sachrajda55, A. I. Sanda56, Subir Sarkar57, Michael Schmitt58, O. Schneider53, Douglas Scott59, W. G. Seligman60, M. H. Shaevitz60, Torbjörn Sjöstrand61, George F. Smoot3, Stefan M Spanier4, H. Spieler3, N. J. C. Spooner62, Mark Srednicki63, Achim Stahl, Todor Stanev42, M. Suzuki3, N. P. Tkachenko, German Valencia64, K. van Bibber29, Manuella Vincter65, D. R. Ward66, Bryan R. Webber66, M R Whalley52, Lincoln Wolfenstein43, J. Womersley37, C. L. Woody51, Oleg Zenin 
Tohoku University1, University of Zurich2, Lawrence Berkeley National Laboratory3, Stanford University4, College of William & Mary5, University of Genoa6, University of Urbino7, CERN8, Budker Institute of Nuclear Physics9, University of California, Irvine10, Cornell University11, Argonne National Laboratory12, ETH Zurich13, Tata Institute of Fundamental Research14, Hillsdale College15, Spanish National Research Council16, Ohio State University17, University of Notre Dame18, Kent State University19, University of California, San Diego20, University of California, Berkeley21, University of Minnesota22, University of Alabama23, University of Helsinki24, Los Alamos National Laboratory25, California Institute of Technology26, George Washington University27, Syracuse University28, Lawrence Livermore National Laboratory29, Oklahoma State University–Stillwater30, University of Washington31, Max Planck Society32, Boston University33, University of California, Los Angeles34, Royal Holloway, University of London35, Université Paris-Saclay36, Fermilab37, University of Pennsylvania38, University of Illinois at Urbana–Champaign39, University of Bristol40, University of Tokyo41, University of Delaware42, Carnegie Mellon University43, University of California, Santa Cruz44, Karlsruhe Institute of Technology45, Heidelberg University46, Florida State University47, Carleton University48, University of Mainz49, University of Edinburgh50, Brookhaven National Laboratory51, Durham University52, University of Lausanne53, Massachusetts Institute of Technology54, University of Southampton55, Nagoya University56, University of Oxford57, Northwestern University58, University of British Columbia59, Columbia University60, Lund University61, University of Sheffield62, University of California, Santa Barbara63, Iowa State University64, University of Alberta65, University of Cambridge66
TL;DR: The Particle Data Group's biennial review as mentioned in this paper summarizes much of particle physics, using data from previous editions, plus 2658 new measurements from 644 papers, and lists, evaluates, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons.
Abstract: This biennial Review summarizes much of particle physics. Using data from previous editions, plus 2658 new measurements from 644 papers, we list, evaluate, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons. We summarize searches for hypothetical particles such as Higgs bosons, heavy neutrinos, and supersymmetric particles. All the particle properties and search limits are listed in Summary Tables. We also give numerous tables, figures, formulae, and reviews of topics such as the Standard Model, particle detectors, probability, and statistics. Among the 112 reviews are many that are new or heavily revised including those on Heavy-Quark and Soft-Collinear Effective Theory, Neutrino Cross Section Measurements, Monte Carlo Event Generators, Lattice QCD, Heavy Quarkonium Spectroscopy, Top Quark, Dark Matter, V-cb & V-ub, Quantum Chromodynamics, High-Energy Collider Parameters, Astrophysical Constants, Cosmological Parameters, and Dark Matter. A booklet is available containing the Summary Tables and abbreviated versions of some of the other sections of this full Review. All tables, listings, and reviews (and errata) are also available on the Particle Data Group website: http://pdg.lbl.gov.

4,465 citations

Journal ArticleDOI
TL;DR: This work analyzes two classes of controls consisting of patchy nucleotide sequences generated by different algorithms--one without and one with long-range power-law correlations, finding that both types of sequences are quantitatively distinguishable by an alternative fluctuation analysis method.
Abstract: Long-range power-law correlations have been reported recently for DNA sequences containing noncoding regions We address the question of whether such correlations may be a trivial consequence of the known mosaic structure ("patchiness") of DNA We analyze two classes of controls consisting of patchy nucleotide sequences generated by different algorithms--one without and one with long-range power-law correlations Although both types of sequences are highly heterogenous, they are quantitatively distinguishable by an alternative fluctuation analysis method that differentiates local patchiness from long-range correlations Application of this analysis to selected DNA sequences demonstrates that patchiness is not sufficient to account for long-range correlation properties

4,365 citations


Authors

Showing all 49233 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Robert Langer2812324326306
Meir J. Stampfer2771414283776
Ronald C. Kessler2741332328983
JoAnn E. Manson2701819258509
Albert Hofman2672530321405
George M. Whitesides2401739269833
Paul M. Ridker2331242245097
Eugene Braunwald2301711264576
Ralph B. D'Agostino2261287229636
David J. Hunter2131836207050
Daniel Levy212933194778
Christopher J L Murray209754310329
Tamara B. Harris2011143163979
André G. Uitterlinden1991229156747
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023223
2022810
20216,943
20206,837
20196,120
20185,593