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Jennifer A. Smith

Researcher at University of Michigan

Publications -  977
Citations -  94283

Jennifer A. Smith is an academic researcher from University of Michigan. The author has contributed to research in topics: Large Hadron Collider & Standard Model. The author has an hindex of 131, co-authored 862 publications receiving 83025 citations. Previous affiliations of Jennifer A. Smith include National Institutes of Health & Imperial College London.

Papers
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Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

S. Chatrchyan, +2863 more
- 17 Sep 2012 - 
TL;DR: In this paper, results from searches for the standard model Higgs boson in proton-proton collisions at 7 and 8 TeV in the CMS experiment at the LHC, using data samples corresponding to integrated luminosities of up to 5.8 standard deviations.
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The CMS experiment at the CERN LHC

S. Chatrchyan, +3175 more
TL;DR: The Compact Muon Solenoid (CMS) detector at the Large Hadron Collider (LHC) at CERN as mentioned in this paper was designed to study proton-proton (and lead-lead) collisions at a centre-of-mass energy of 14 TeV (5.5 TeV nucleon-nucleon) and at luminosities up to 10(34)cm(-2)s(-1)

Genetic studies of body mass index yield new insights for obesity biology

Adam E. Locke, +481 more
TL;DR: This paper conducted a genome-wide association study and meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals.
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Combined Measurement of the Higgs Boson Mass in pp Collisions at √s=7 and 8 TeV with the ATLAS and CMS Experiments

Georges Aad, +5120 more
TL;DR: A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4ℓ decay channels.
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Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

Mary F. Feitosa, +299 more
- 18 Jun 2018 - 
TL;DR: In insights into the role of alcohol consumption in the genetic architecture of hypertension, a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions is conducted.