Institution
Queen Mary University of London
Education•London, United Kingdom•
About: Queen Mary University of London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Cancer. The organization has 30268 authors who have published 71449 publications receiving 2701456 citations. The organization is also known as: QM & QMUL.
Papers published on a yearly basis
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TL;DR: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency.
Abstract: Background: Currently, a lack of consensus exists on how best to perform and interpret quantitative real-time PCR (qPCR) experiments. The problem is exacerbated by a lack of sufficient experimental detail in many publications, which impedes a reader’s ability to evaluate critically the quality of the results presented or to repeat the experiments.
Content: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency. MIQE is a set of guidelines that describe the minimum information necessary for evaluating qPCR experiments. Included is a checklist to accompany the initial submission of a manuscript to the publisher. By providing all relevant experimental conditions and assay characteristics, reviewers can assess the validity of the protocols used. Full disclosure of all reagents, sequences, and analysis methods is necessary to enable other investigators to reproduce results. MIQE details should be published either in abbreviated form or as an online supplement.
Summary: Following these guidelines will encourage better experimental practice, allowing more reliable and unequivocal interpretation of qPCR results.
12,469 citations
TL;DR: In this paper, the authors estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010.
9,324 citations
TL;DR: In this article, a search for the Standard Model Higgs boson in proton-proton collisions with the ATLAS detector at the LHC is presented, which has a significance of 5.9 standard deviations, corresponding to a background fluctuation probability of 1.7×10−9.
9,282 citations
TL;DR: The molecular pathways of this cancer-related inflammation are now being unravelled, resulting in the identification of new target molecules that could lead to improved diagnosis and treatment.
Abstract: The mediators and cellular effectors of inflammation are important constituents of the local environment of tumours. In some types of cancer, inflammatory conditions are present before a malignant change occurs. Conversely, in other types of cancer, an oncogenic change induces an inflammatory microenvironment that promotes the development of tumours. Regardless of its origin, 'smouldering' inflammation in the tumour microenvironment has many tumour-promoting effects. It aids in the proliferation and survival of malignant cells, promotes angiogenesis and metastasis, subverts adaptive immune responses, and alters responses to hormones and chemotherapeutic agents. The molecular pathways of this cancer-related inflammation are now being unravelled, resulting in the identification of new target molecules that could lead to improved diagnosis and treatment.
9,282 citations
University of Bristol1, University Hospitals Bristol NHS Foundation Trust2, Monash University3, French Institute of Health and Medical Research4, Paris Descartes University5, Cochrane Collaboration6, St George's, University of London7, University of York8, Queen Mary University of London9, Clinical Trial Service Unit10, Harvard University11, University of Oxford12, University of Southern Denmark13, Odense University Hospital14, University of Alberta15, University of Toronto16, University of Manchester17, Johns Hopkins University18, McGill University19, University College London20
TL;DR: The Cochrane risk-of-bias tool has been updated to respond to developments in understanding how bias arises in randomised trials, and to address user feedback on and limitations of the original tool.
Abstract: Assessment of risk of bias is regarded as an essential component of a systematic review on the effects of an intervention. The most commonly used tool for randomised trials is the Cochrane risk-of-bias tool. We updated the tool to respond to developments in understanding how bias arises in randomised trials, and to address user feedback on and limitations of the original tool.
9,228 citations
Authors
Showing all 30651 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Trevor W. Robbins | 231 | 1137 | 164437 |
| Nicholas J. Wareham | 212 | 1657 | 204896 |
| Gordon B. Mills | 187 | 1273 | 186451 |
| Alberto Mantovani | 183 | 1397 | 163826 |
| David Baker | 173 | 1226 | 109377 |
| Philippe Froguel | 166 | 820 | 118816 |
| Jun Wang | 166 | 1093 | 141621 |
| Panos Deloukas | 162 | 410 | 154018 |
| Peter A. R. Ade | 162 | 1387 | 138051 |
| Qiang Zhang | 161 | 1137 | 100950 |
| Hannes Jung | 159 | 2069 | 125069 |
| Elio Riboli | 158 | 1136 | 110499 |
| Naveed Sattar | 155 | 1326 | 116368 |
| Frederik Barkhof | 154 | 1449 | 104982 |
| Paul Elliott | 153 | 773 | 103839 |