scispace - formally typeset
Search or ask a question
Institution

University of Southampton

EducationSouthampton, United Kingdom
About: University of Southampton is a education organization based out in Southampton, United Kingdom. It is known for research contribution in the topics: Population & Laser. The organization has 37184 authors who have published 99400 publications receiving 3462915 citations. The organization is also known as: Southampton University & Soton Uni.


Papers
More filters
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 Murayama21, Hitoshi Murayama3, 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: These guidelines are presented for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Abstract: In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field.

4,316 citations

Journal ArticleDOI
07 May 2004-Science
TL;DR: It is shown that microscopic plastic fragments and fibers are also widespread in the marine environment and may persist for centuries.
Abstract: Millions of metric tons of plastic are produced annually. Countless large items of plastic debris are accumulating in marine habitats worldwide and may persist for centuries ([ 1 ][1]–[ 4 ][2]). Here we show that microscopic plastic fragments and fibers ([Fig. 1A][3]) are also widespread in the

4,067 citations

Journal ArticleDOI
TL;DR: Genome-wide analysis suggests that several genes that increase the risk for sporadic Alzheimer's disease encode factors that regulate glial clearance of misfolded proteins and the inflammatory reaction.
Abstract: Increasing evidence suggests that Alzheimer's disease pathogenesis is not restricted to the neuronal compartment, but includes strong interactions with immunological mechanisms in the brain. Misfolded and aggregated proteins bind to pattern recognition receptors on microglia and astroglia, and trigger an innate immune response characterised by release of inflammatory mediators, which contribute to disease progression and severity. Genome-wide analysis suggests that several genes that increase the risk for sporadic Alzheimer's disease encode factors that regulate glial clearance of misfolded proteins and the inflammatory reaction. External factors, including systemic inflammation and obesity, are likely to interfere with immunological processes of the brain and further promote disease progression. Modulation of risk factors and targeting of these immune mechanisms could lead to future therapeutic or preventive strategies for Alzheimer's disease.

3,947 citations


Authors

Showing all 37632 results

NameH-indexPapersCitations
Cyrus Cooper2041869206782
Stephen V. Faraone1881427140298
David R. Williams1782034138789
Charles M. Lieber165521132811
David W. Johnson1602714140778
Mark E. Cooper1581463124887
Pete Smith1562464138819
Joseph Jankovic153114693840
Vivek Sharma1503030136228
David J.P. Barker14844699373
Debbie A Lawlor1471114101123
Olli T. Raitakari1421232103487
Stephen T. Holgate14287082345
Alexander Belyaev1421895100796
Christopher D.M. Fletcher13867482484
Network Information
Related Institutions (5)
University of Manchester
168K papers, 6.4M citations

96% related

University College London
210.6K papers, 9.8M citations

96% related

Imperial College London
209.1K papers, 9.3M citations

96% related

University of Cambridge
282.2K papers, 14.4M citations

95% related

University of Edinburgh
151.6K papers, 6.6M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023164
2022725
20215,302
20205,219
20194,943
20184,969