Institution
Johns Hopkins University School of Medicine
Healthcare•Baltimore, Maryland, United States•
About: Johns Hopkins University School of Medicine is a healthcare organization based out in Baltimore, Maryland, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 44277 authors who have published 79222 publications receiving 4788882 citations.
Topics: Population, Cancer, Transplantation, Prostate cancer, Poison control
Papers published on a yearly basis
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TL;DR: In this article, the authors describe the use of an operant methodology to assess functional relationships between self-injury and specific environmental events, including play materials (present vs absent), experimenter demands (high vs low), and social attention (absent vs noncontingent vs contingent).
Abstract: This study describes the use of an operant methodology to assess functional relationships between self-injury and specific environmental events. The self-injurious behaviors of nine developmentally disabled subjects were observed during periods of brief, repeated exposure to a series of analogue conditions. Each condition differed along one or more of the following dimensions: (1) play materials (present vs absent), (2) experimenter demands (high vs low), and (3) social attention (absent vs noncontingent vs contingent). Results showed a great deal of both between and within-subject variability. However, in six of the nine subjects, higher levels of self-injury were consistently associated with a specific stimulus condition, suggesting that within-subject variability was a function of distinct features of the social and/or physical environment. These data are discussed in light of previously suggested hypotheses for the motivation of self-injury, with particular emphasis on their implications for the selection of suitable treatments.
2,274 citations
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University of Manchester1, KEK2, CERN3, Complutense University of Madrid4, SLAC National Accelerator Laboratory5, Toyama College6, Lebedev Physical Institute7, Fermilab8, University of Paris-Sud9, Lawrence Livermore National Laboratory10, National Research Nuclear University MEPhI11, Queen's University Belfast12, Korea Institute of Science and Technology Information13, Istituto Nazionale di Fisica Nucleare14, Northeastern University15, University of Seville16, National University of Cordoba17, Saint Joseph University18, Joint Institute for Nuclear Research19, Illawarra Health & Medical Research Institute20, University of Wollongong21, Hampton University22, TRIUMF23, ETH Zurich24, University of Bordeaux25, Centre national de la recherche scientifique26, University of Helsinki27, Johns Hopkins University School of Medicine28, National Technical University of Athens29, University of Notre Dame30, Ashikaga Institute of Technology31, Kobe University32, Intelligence and National Security Alliance33, University of Trieste34, University of Warwick35, University of Belgrade36, Instituto Superior Técnico37, European Space Agency38, Varian Medical Systems39, George Washington University40, Ritsumeikan University41, Ton Duc Thang University42, Université Paris-Saclay43, Idaho State University44, Naruto University of Education45
01 Nov 2016-Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment
TL;DR: Geant4 as discussed by the authors is a software toolkit for the simulation of the passage of particles through matter, which is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space science, medical physics and radiation protection.
Abstract: Geant4 is a software toolkit for the simulation of the passage of particles through matter. It is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space science, medical physics and radiation protection. Over the past several years, major changes have been made to the toolkit in order to accommodate the needs of these user communities, and to efficiently exploit the growth of computing power made available by advances in technology. The adaptation of Geant4 to multithreading, advances in physics, detector modeling and visualization, extensions to the toolkit, including biasing and reverse Monte Carlo, and tools for physics and release validation are discussed here.
2,260 citations
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TL;DR: This timeline traces the field from its conception to the present day and addresses the genetic basis of epigenetic changes — an emerging area that promises to unite cancer genetics and epigenetics, and might serve as a model for understanding the epigenetic basis of human disease more generally.
Abstract: Since its discovery in 1983, the epigenetics of human cancer has been in the shadows of human cancer genetics. But this area has become increasingly visible with a growing understanding of specific epigenetic mechanisms and their role in cancer, including hypomethylation, hypermethylation, loss of imprinting and chromatin modification. This timeline traces the field from its conception to the present day. It also addresses the genetic basis of epigenetic changes — an emerging area that promises to unite cancer genetics and epigenetics, and might serve as a model for understanding the epigenetic basis of human disease more generally.
2,240 citations
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French Institute of Health and Medical Research1, Institut Gustave Roussy2, University of Paris-Sud3, University of Texas Southwestern Medical Center4, Thomas Jefferson University5, University of Massachusetts Medical School6, Roswell Park Cancer Institute7, Johns Hopkins University School of Medicine8, Penn State Milton S. Hershey Medical Center9, Goethe University Frankfurt10, St. Jude Children's Research Hospital11, University of Zurich12, University College London13, South Australia Pathology14, University of Adelaide15, Ludwig Institute for Cancer Research16, University of Graz17, Istituto Superiore di Sanità18, University of Michigan19, Northwestern University20, University of Rome Tor Vergata21, University of Cambridge22, University of Bern23, Ghent University24, Harvard University25, Karolinska Institutet26, University of Leicester27
TL;DR: A functional classification of cell death subroutines is proposed that applies to both in vitro and in vivo settings and includes extrinsic apoptosis, caspase-dependent or -independent intrinsic programmed cell death, regulated necrosis, autophagic cell death and mitotic catastrophe.
Abstract: In 2009, the Nomenclature Committee on Cell Death (NCCD) proposed a set of recommendations for the definition of distinct cell death morphologies and for the appropriate use of cell death-related terminology, including 'apoptosis', 'necrosis' and 'mitotic catastrophe'. In view of the substantial progress in the biochemical and genetic exploration of cell death, time has come to switch from morphological to molecular definitions of cell death modalities. Here we propose a functional classification of cell death subroutines that applies to both in vitro and in vivo settings and includes extrinsic apoptosis, caspase-dependent or -independent intrinsic apoptosis, regulated necrosis, autophagic cell death and mitotic catastrophe. Moreover, we discuss the utility of expressions indicating additional cell death modalities. On the basis of the new, revised NCCD classification, cell death subroutines are defined by a series of precise, measurable biochemical features.
2,238 citations
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TL;DR: The prevalence and growth rate of human benign prostatic hyperplasia with age is reported by combining and analyzing data from 10 independent studies containing more than 1,000 prostates.
2,149 citations
Authors
Showing all 44754 results
Name | H-index | Papers | Citations |
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Robert Langer | 281 | 2324 | 326306 |
Bert Vogelstein | 247 | 757 | 332094 |
Solomon H. Snyder | 232 | 1222 | 200444 |
Steven A. Rosenberg | 218 | 1204 | 199262 |
Kenneth W. Kinzler | 215 | 640 | 243944 |
Hagop M. Kantarjian | 204 | 3708 | 210208 |
Mark P. Mattson | 200 | 980 | 138033 |
Stuart H. Orkin | 186 | 715 | 112182 |
Paul G. Richardson | 183 | 1533 | 155912 |
Aaron R. Folsom | 181 | 1118 | 134044 |
Gonçalo R. Abecasis | 179 | 595 | 230323 |
Jie Zhang | 178 | 4857 | 221720 |
Daniel R. Weinberger | 177 | 879 | 128450 |
David Baker | 173 | 1226 | 109377 |
Eliezer Masliah | 170 | 982 | 127818 |