Institution
University of Montpellier
Education•Montpellier, Languedoc-Roussillon, France•
About: University of Montpellier is a education organization based out in Montpellier, Languedoc-Roussillon, France. It is known for research contribution in the topics: Population & Context (language use). The organization has 26816 authors who have published 53843 publications receiving 1646905 citations. The organization is also known as: Université de Montpellier.
Topics: Population, Context (language use), Membrane, Gene, Medicine
Papers published on a yearly basis
Papers
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University College London1, Camden and Islington NHS Foundation Trust2, Royal Melbourne Hospital3, University of Exeter4, University of Plymouth5, University of Cambridge6, University of Manchester7, Tel Aviv University8, Goa Medical College9, Johns Hopkins University10, University of California, Davis11, Kaiser Permanente12, University College Hospital, Ibadan13, University of Montpellier14, Dalhousie University15, University of Southern California16, Oslo University Hospital17, University of Washington18
TL;DR: Author(s): Livingston, Gill; Huntley, Jonathan; Sommerlad, Andrew ; Sommer Glad, Andrew; Ames, David; Ballard, Clive; Banerjee, Sube; Brayne, Carol; Burns, Alistair; Cohen-Mansfield, Jiska; Cooper, Claudia; Costafreda, Sergi G; Dias, Amit; Fox, Nick; Gitlin, Laura N; Howard, Robert; Kales, Helen C;
3,559 citations
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TL;DR: In this article, the authors present some examples of modeling one and two-dimensional solid-state NMR spectra of I = ½ spin and quadrupolar nuclei, using laboratory-developed software that is made available to the NMR community.
Abstract: With the description of more and more complex one- and two-dimensional NMR experiments comes the need to develop methods to make a comprehensive interpretation of the various different experiments that can be carried out on the same sample or series of related samples. We present some examples of modelling one- and two-dimensional solid-state NMR spectra of I = ½ spin and quadrupolar nuclei, using laboratory-developed software that is made available to the NMR community. Copyright © 2001 John Wiley & Sons, Ltd.
3,551 citations
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TL;DR: Metal Organic Frameworks in Biomedicine Patricia Horcajada, Ruxandra Gref, Tarek Baati, Phoebe K. Allan, Guillaume Maurin, Patrick Couvreur, G erard F erey, Russell E. Morris, and Christian Serre.
Abstract: Metal Organic Frameworks in Biomedicine Patricia Horcajada,* Ruxandra Gref, Tarek Baati, Phoebe K. Allan, Guillaume Maurin, Patrick Couvreur, G erard F erey, Russell E. Morris, and Christian Serre* Institut Lavoisier, UMR CNRS 8180, Universit e de Versailles St-Quentin en Yvelines, 45 Avenue des Etats-Unis, 78035 Versailles Cedex, France Facult e de Pharmacie, UMR CNRS 8612, Universit e Paris-Sud, 92296 Châtenay-Malabry Cedex, France Institut Charles Gerhardt Montpellier, UMR CNRS 5253, Universit e Montpellier 2, 34095 Montpellier cedex 05, France EaStChem School of Chemistry, University of St. Andrews Purdie Building, St Andrews, KY16 9ST U.K.
3,400 citations
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TL;DR: In this paper, the use of isolation by distance models as a basis for the estimation of demographic parameters from measures of population subdivision was re-examined, and the results for values of F-statistics in one-dimensional models and coalescence times in 2D models were provided.
Abstract: I reexamine the use of isolation by distance models as a basis for the estimation of demographic parameters from measures of population subdivision. To that aim, I first provide results for values of F-statistics in one-dimensional models and coalescence times in two-dimensional models, and make more precise earlier results for F-statistics in two-dimensional models and coalescence times in one-dimensional models. Based on these results, I propose a method of data analysis involving the regression of F(ST)/(1 - F(ST)) estimates for pairs of subpopulations on geographic distance for populations along linear habitats or logarithm of distance for populations in two-dimensional habitats. This regression provides in principle an estimate of the product of population density and second moment of parental axial distance. In two cases where comparison to direct estimates is possible, the method proposed here is more satisfactory than previous indirect methods.
3,331 citations
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TL;DR: Progression‐free survival was significantly longer with durvalumab than with placebo, and safety was similar between the groups, and the secondary end points also favored durvalsumab.
Abstract: BackgroundMost patients with locally advanced, unresectable, non–small-cell lung cancer (NSCLC) have disease progression despite definitive chemoradiotherapy (chemotherapy plus concurrent radiation therapy). This phase 3 study compared the anti–programmed death ligand 1 antibody durvalumab as consolidation therapy with placebo in patients with stage III NSCLC who did not have disease progression after two or more cycles of platinum-based chemoradiotherapy. MethodsWe randomly assigned patients, in a 2:1 ratio, to receive durvalumab (at a dose of 10 mg per kilogram of body weight intravenously) or placebo every 2 weeks for up to 12 months. The study drug was administered 1 to 42 days after the patients had received chemoradiotherapy. The coprimary end points were progression-free survival (as assessed by means of blinded independent central review) and overall survival (unplanned for the interim analysis). Secondary end points included 12-month and 18-month progression-free survival rates, the objective res...
2,958 citations
Authors
Showing all 27007 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jean Bousquet | 145 | 1288 | 96769 |
Tomas Ganz | 141 | 480 | 73316 |
Jean-Marie Tarascon | 136 | 853 | 137673 |
Johann Cohen-Tanugi | 132 | 434 | 58881 |
Beatrice H. Hahn | 129 | 458 | 69206 |
Nicholas A. Kotov | 123 | 574 | 55210 |
F. Piron | 118 | 270 | 47676 |
Robert H. Crabtree | 113 | 678 | 48634 |
Christian Serre | 110 | 419 | 56800 |
Alan Cooper | 108 | 746 | 45772 |
Serge Hercberg | 106 | 942 | 56791 |
Louis Bernatchez | 106 | 568 | 35682 |
Joël Bockaert | 105 | 480 | 39464 |
E. Nuss | 104 | 220 | 38488 |
Jordi Rello | 103 | 694 | 35994 |