Institution
University of Cambridge
Education•Cambridge, United Kingdom•
About: University of Cambridge is a education organization based out in Cambridge, United Kingdom. It is known for research contribution in the topics: Population & Galaxy. The organization has 118293 authors who have published 282289 publications receiving 14497093 citations. The organization is also known as: Cambridge University & Cambridge.
Topics: Population, Galaxy, Context (language use), Gene, Transplantation
Papers published on a yearly basis
Papers
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TL;DR: The evolution of long noncoding RNAs and their roles in transcriptional regulation, epigenetic gene regulation, and disease are reviewed.
4,277 citations
Book•
24 Feb 1995TL;DR: The four steps autism and mindblindness how brains read minds the language of the eyes mindreading - back to the future was discussed in evolutionary psychology and social chess mindreading as discussed by the authors.
Abstract: Mindblindness and mindreading evolutionary psychology and social chess mindreading - nature's choice developing mindreading - the four steps autism and mindblindness how brains read minds the language of the eyes mindreading - back to the future.
4,255 citations
University of North Carolina at Chapel Hill1, University of Birmingham2, University of Aberdeen3, University of Barcelona4, Cleveland Clinic5, University of Cambridge6, University of Groningen7, University of Lübeck8, University of Oxford9, University of Paris10, Mayo Clinic11, Boston University12, University of Pennsylvania13, Hacettepe University14, Imperial College London15, Statens Serum Institut16, Medical University of Vienna17, Norwich University18, Harvard University19, Toho University20, University of East Anglia21
TL;DR: 2012 Revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides J. Watts; Arthritis & Rheumatism
Abstract: 2012 Revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides J. Jennette;R. Falk;P. Bacon;N. Basu;M. Cid;F. Ferrario;L. Flores-Suarez;W. Gross;L. Guillevin;E. Hagen;G. Hoffman;D. Jayne;C. Kallenberg;P. Lamprecht;C. Langford;R. Luqmani;A. Mahr;E. Matteson;P. Merkel;S. Ozen;C. Pusey;N. Rasmussen;A. Rees;D. Scott;U. Specks;J. Stone;K. Takahashi;R. Watts; Arthritis & Rheumatism
4,249 citations
TL;DR: In this article, a new reduction of the Hipparcos data was published, which claimed accuracies for nearly all stars brighter than magnitude Hp = 8 to be better, by up to a factor 4, than in the original catalog.
Abstract: Context. A new reduction of the astrometric data as produced by the Hipparcos mission has been published, claiming accuracies for nearly all stars brighter than magnitude Hp = 8 to be better, by up to a factor 4, than in the original catalog ue. Aims. The new Hipparcos astrometric catalogue is checked for the quality of the data and the consistency of the formal errors as well as the possible presence of error correlations. The differences with the earlier publication are explained. Methods. The internal errors are followed through the reduction proc ess, and the external errors are investigated on the basis of a comparison with radio observations of a small selection of stars, and the distribution of negative parallaxes. Error co rrelation levels are investigated and the reduction by more than a factor 10 as obtained in the new catalogue is explained. Results. The formal errors on the parallaxes for the new catalogue are confirmed. The presence of a small amount of additional noise , though unlikely, cannot be ruled out. Conclusions. The new reduction of the Hipparcos astrometric data provides an improvement by a factor 2.2 in the total weight compared to the catalogue published in 1997, and provides much improved data for a wide range of studies on stellar luminosities and local galactic kinematics.
4,203 citations
TL;DR: A novel software package called PHENIX (Python-based Hierarchical ENvironment for Integrated Xtallography) is developed, which will provide the necessary algorithms to proceed from reduced intensity data to a refined molecular model and to facilitate structure solution for both the novice and expert crystallographer.
Abstract: Structural genomics seeks to expand rapidly the number of protein structures in order to extract the maximum amount of information from genomic sequence databases. The advent of several large-scale projects worldwide leads to many new challenges in the field of crystallographic macromolecular structure determination. A novel software package called PHENIX (Python-based Hierarchical ENvironment for Integrated Xtallography) is therefore being developed. This new software will provide the necessary algorithms to proceed from reduced intensity data to a refined molecular model and to facilitate structure solution for both the novice and expert crystallographer.
4,201 citations
Authors
Showing all 119522 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Albert Hofman | 267 | 2530 | 321405 |
| Zhong Lin Wang | 245 | 2529 | 259003 |
| Solomon H. Snyder | 232 | 1222 | 200444 |
| Trevor W. Robbins | 231 | 1137 | 164437 |
| George Davey Smith | 224 | 2540 | 248373 |
| Nicholas J. Wareham | 212 | 1657 | 204896 |
| Cyrus Cooper | 204 | 1869 | 206782 |
| Eric B. Rimm | 196 | 988 | 147119 |
| Martin White | 196 | 2038 | 232387 |
| Simon D. M. White | 189 | 795 | 231645 |
| Michael Rutter | 188 | 676 | 151592 |
| George Efstathiou | 187 | 637 | 156228 |
| Mark Hallett | 186 | 1170 | 123741 |
| David H. Weinberg | 183 | 700 | 171424 |
| Paul G. Richardson | 183 | 1533 | 155912 |