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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.

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Search for R-parity violating decays of a top squark in proton–proton collisions at s=8 TeV

Vardan Khachatryan, +2292 more
- 10 Sep 2016 - 
TL;DR: In this paper, the results of a search for a supersymmetric partner of the top quark (top squark), pair-produced in proton-proton collisions at √s = 8 TeV, are presented.

Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Praveen Surendran, +279 more
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Genetic diversity is a predictor of mortality in humans

Nathan A. Bihlmeyer, +54 more
- 29 Dec 2014 - 
TL;DR: This effect was consistent between European and African ancestry cohorts, men and women, and major causes of death (cancer and cardiovascular disease), demonstrating the broad positive impact of genomic diversity on human survival.
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Classification and clustering methods for multiple environmental factors in gene-environment interaction: Application to the multi-ethnic study of atherosclerosis

Yi-An Ko, +5 more
- 01 Nov 2016 - 
TL;DR: Using the data from the Multiethnic Study of Atherosclerosis, a two-step approach for modeling G × E with multiple environmental factors is illustrated and useful analytical approaches are demonstrated to translate multiple environmental exposures into one summary class.
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Association Between Episodic Memory and Genetic Risk Factors for Alzheimer's Disease in South Asians from the Longitudinal Aging Study in India–Diagnostic Assessment of Dementia (LASI-DAD)

Jennifer A. Smith, +8 more
- 20 Aug 2020 - 
TL;DR: Discrepancies in allele frequencies and cognitive association results suggest that genetic factors found predominantly through EA-GWASs may play a limited role in South Asians, but the extent of differences in the genetic architecture of AD and cognition in EA and South Asians remains uncertain.