Chris Gennings

Professor

Icahn School of Medicine at Mount Sinai

United States

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About

Chris Gennings is a Professor at the Icahn School of Medicine at Mount Sinai, located in the United States. His research primarily focuses on environmental exposures and their impacts on health, exploring topics such as the effects of developmental lead exposure, sex-specific associations with metal co-exposures, and the implications of endocrine-disrupting chemical mixtures during pregnancy. He has published extensively on methods for assessing exposure and health outcomes, particularly in relation to the microbiome and nutrition.

Articles (15)

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2025

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2024

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2022

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2022

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2022

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2022

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2020

Collaborators (15)

Alison Sanders

Assistant Professor

University of Pittsburgh

UNITED STATES

Chris Gennings

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Articles (15)

Weighted quantile sum (WQS) mixed-effects model

Developmental Pb exposure increases rate of forgetting on a delayed matching-to-sample task among Mexican children

EDC mixtures during pregnancy and body fat at 7 years of age in a Swedish cohort, the SELMA study

Sex-specific associations between co-exposure to multiple metals and externalizing symptoms in adolescence and young adulthood

From Cohort to Cohort: A Similar Mixture Approach (SMACH) to Evaluate Exposures to a Mixture Leading to Thyroid-Mediated Neurodevelopmental Effects Using NHANES Data

Predictors of Phthalate Metabolites Exposure among Healthy Pregnant Women in the United States, 2010–2015

Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods

Using Metrics of a Mixture Effect and Nutrition from an Observational Study for Consideration towards Causal Inference

Prenatal Metal Exposures and Associations with Kidney Injury Biomarkers in Children

Individual Nutrition Is Associated with Altered Gut Microbiome Composition for Adults with Food Insecurity

Human Microbiome Mixture Analysis Using Weighted Quantile Sum Regression

Quantifying the Effect Size of Exposure-Outcome Association Using δ-Score: Application to Environmental Chemical Mixture Studies

Selecting External Controls for Internal Cases Using Stratification Score Matching Methods

A Mixture of Endocrine Disrupting Chemicals Associated with Lower Birth Weight in Children Induces Adipogenesis and DNA Methylation Changes in Human Mesenchymal Stem Cells

Contrasting prenatal nutrition and environmental exposures in association with birth weight and cognitive function in children at 7 years

Collaborators (15)

Alison Sanders

Carl-Gustaf Bornehag

Patrik L. Andersson

Hannu Kiviranta

Katherine Ensor

Ivan Pantic

Bonnie Joubert

Thomas Webster

Jean-Baptiste FINI

Adana Llanos

Kristen Malecki

Marcela Tamayo-Ortiz

Paul Curtin

Dania Valvi

Roberto Lucchini

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