Institution
Imperial College London
Education•London, Westminster, United Kingdom•
About: Imperial College London is a education organization based out in London, Westminster, United Kingdom. It is known for research contribution in the topics: Population & Medicine. The organization has 90019 authors who have published 209164 publications receiving 9337534 citations. The organization is also known as: Imperial College of Science, Technology and Medicine & Imperial College.
Topics: Population, Medicine, Context (language use), Cancer, Computer science
Papers published on a yearly basis
Papers
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University of Amsterdam1, Columbia University2, Rush University Medical Center3, Cornell University4, University of Washington5, National Institutes of Health6, Leiden University7, Imperial College London8, Vanderbilt University9, SUNY Downstate Medical Center10, Ohio State University11, St. Vincent's Health System12, University of North Carolina at Chapel Hill13, National University of Malaysia14, University of Paris15, University of Malaya16, Okayama University17, Federal University of São Paulo18, University of Tsukuba19
TL;DR: The main advantages of the current revised classification is that it provides a clear and unequivocal description of the various lesions and classes of lupus nephritis, allowing a better standardization and lending a basis for further clinicopathologic studies.
1,561 citations
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The Royal Marsden NHS Foundation Trust1, University of British Columbia2, University of Edinburgh3, Imperial College London4, Queen Mary University of London5, Washington University in St. Louis6, University of Alberta7, National Institutes of Health8, University of Auvergne9, Autonomous University of Barcelona10, Harvard University11, Université libre de Bruxelles12
TL;DR: Comprehensive recommendations on preanalytical and analytical assessment, and interpretation and scoring of Ki67 were formulated based on current evidence, geared toward achieving a harmonized methodology, create greater between-laboratory and between-study comparability, and allow earlier valid applications of this marker in clinical practice.
Abstract: Uncontrolled proliferation is a hallmark of cancer. In breast cancer, immunohistochemical assessment of the proportion of cells staining for the nuclear antigen Ki67 has become the most widely used method for comparing proliferation between tumor samples. Potential uses include prognosis, prediction of relative responsiveness or resistance to chemotherapy or endocrine therapy, estimation of residual risk in patients on standard therapy and as a dynamic biomarker of treatment efficacy in samples taken before, during, and after neoadjuvant therapy, particularly neoadjuvant endocrine therapy. Increasingly, Ki67 is measured in these scenarios for clinical research, including as a primary efficacy endpoint for clinical trials, and sometimes for clinical management. At present, the enormous variation in analytical practice markedly limits the value of Ki67 in each of these contexts. On March 12, 2010, an international panel of investigators with substantial expertise in the assessment of Ki67 and in the development of biomarker guidelines was convened in London by the cochairs of the Breast International Group and North American Breast Cancer Group Biomarker Working Party to consider evidence for potential applications. Comprehensive recommendations on preanalytical and analytical assessment, and interpretation and scoring of Ki67 were formulated based on current evidence. These recommendations are geared toward achieving a harmonized methodology, create greater between-laboratory and between-study comparability, and allow earlier valid applications of this marker in clinical practice.
1,556 citations
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TL;DR: The molecular and physical information coded within the extracellular milieu is informing the development of a new generation of biomaterials for tissue engineering, and exciting developments are likely to help reconcile the clinical and commercial pressures on tissue engineering.
Abstract: The molecular and physical information coded within the extracellular milieu is informing the development of a new generation of biomaterials for tissue engineering. Several powerful extracellular influences have already found their way into cell-instructive scaffolds, while others remain largely unexplored. Yet for commercial success tissue engineering products must be not only efficacious but also cost-effective, introducing a potential dichotomy between the need for sophistication and ease of production. This is spurring interest in recreating extracellular influences in simplified forms, from the reduction of biopolymers into short functional domains, to the use of basic chemistries to manipulate cell fate. In the future these exciting developments are likely to help reconcile the clinical and commercial pressures on tissue engineering.
1,555 citations
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TL;DR: The APOE ε4 allele modulates brain function decades before any clinical or neurophysiological expression of neurodegenerative processes and could be explained by differences in memory performance, brain morphology, or resting cerebral blood flow.
Abstract: The APOE epsilon4 allele is a risk factor for late-life pathological changes that is also associated with anatomical and functional brain changes in middle-aged and elderly healthy subjects. We investigated structural and functional effects of the APOE polymorphism in 18 young healthy APOE epsilon4-carriers and 18 matched noncarriers (age range: 20-35 years). Brain activity was studied both at rest and during an encoding memory paradigm using blood oxygen level-dependent fMRI. Resting fMRI revealed increased "default mode network" (involving retrosplenial, medial temporal, and medial-prefrontal cortical areas) coactivation in epsilon4-carriers relative to noncarriers. The encoding task produced greater hippocampal activation in epsilon4-carriers relative to noncarriers. Neither result could be explained by differences in memory performance, brain morphology, or resting cerebral blood flow. The APOE epsilon4 allele modulates brain function decades before any clinical or neurophysiological expression of neurodegenerative processes.
1,555 citations
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TL;DR: In this paper, a parsimonious measure of brand attachment was developed and validated, and the convergent and discriminant validity of this measure in relation to brand attitude strength was demonstrated.
Abstract: Research has not verified the theoretical or practical value of the brand attachment construct in relation to alternative constructs, particularly brand attitude strength. The authors make conceptual, measurement, and managerial contributions to this research issue. Conceptually, they define brand attachment, articulate its defining properties, and differentiate it from brand attitude strength. From a measurement perspective, they develop and validate a parsimonious measure of brand attachment, test the assumptions that underlie it, and demonstrate that it indicates the concept of attachment. They also demonstrate the convergent and discriminant validity of this measure in relation to brand attitude strength. Managerially, they demonstrate that brand attachment offers value over brand attitude strength in predicting (a) consumers’ intentions to perform difficult behaviors (those they regard as utilizing consumer resources), (b) actual purchase behaviors, (c) brand purchase share (the share of a brand among directly competing brands), and (d) need share (the extent to which consumers rely on a brand to address relevant needs including those brands in substitutable product categories).
1,555 citations
Authors
Showing all 90798 results
Name | H-index | Papers | Citations |
---|---|---|---|
Albert Hofman | 267 | 2530 | 321405 |
David Miller | 203 | 2573 | 204840 |
Tamara B. Harris | 201 | 1143 | 163979 |
Mark I. McCarthy | 200 | 1028 | 187898 |
Peter J. Barnes | 194 | 1530 | 166618 |
Simon D. M. White | 189 | 795 | 231645 |
Patrick W. Serruys | 186 | 2427 | 173210 |
John Hardy | 177 | 1178 | 171694 |
Simon Baron-Cohen | 172 | 773 | 118071 |
Richard H. Friend | 169 | 1182 | 140032 |
Yang Gao | 168 | 2047 | 146301 |
Hongfang Liu | 166 | 2356 | 156290 |
Philippe Froguel | 166 | 820 | 118816 |
Salvador Moncada | 164 | 495 | 138030 |
Dennis R. Burton | 164 | 683 | 90959 |