Work

Interdisciplinary data science to advance environmental health research and improve birth outcomes

Year: 2021

Type: article

Source: Environmental Research

DOI: 10.1016/j.envres.2021.111019

Authors: Jeanette A. Stingone, Sofia Triantafillou, Alexandra Larsen, Jay P. Kitt, Gary M. Shaw, Judit Marsillach

Institutions: Columbia University, University of Pittsburgh, Duke University, University of Utah, Stanford Medicine, Stanford University, University of Washington

Language: English

Topic: Health, Environment, Cognitive Aging

Subfield: Health, Toxicology and Mutagenesis

Field: Environmental Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, Center for Clinical and Translational Science, University of Utah, National Cancer Institute, National Institute of Environmental Health Sciences, U.S. National Library of Medicine, National Center for Advancing Translational Sciences

Awards: G1007111155, G117825697, A Data Science Approach to Air Toxics and Children's Environmental Health, G1559324273, G1794674068, G1850503595, G376086187, G4151098675, Utah Center for Clinical and Translational Science, Epigenetic damage in women living in LA food-desert zip codes, G838405879, G8593581141, University of Utah Biomedical Informatics Training Grant, University of Washington Interdisciplinary Center for Exposures, Diseases, Genomics & Environment, Center for Environmental Health in Northern Manhattan

OpenAlex ID: W3136001107

FWCI: 0.983

Cites: 77

Cited by: 13

Related to: 10