Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 7 Similar Profiles
Arsenic Medicine & Life Sciences
Genes Medicine & Life Sciences
Epigenomics Medicine & Life Sciences
Cadmium Medicine & Life Sciences
Gene Expression Medicine & Life Sciences
Metals Medicine & Life Sciences
Poisons Medicine & Life Sciences
MicroRNAs Medicine & Life Sciences

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Projects 1977 2018

Research Output 1996 2017

2 Citations

Effects of prenatal exposure to endocrine disruptors and toxic metals on the fetal epigenome

Bommarito, P. A., Martin, E. & Fry, R. C. Mar 1 2017 In : Epigenomics. 9, 3, p. 333-350 18 p.

Research output: Research - peer-reviewReview article

Endocrine Disruptors
Poisons
Epigenomics
Metals
Health

Incorporating ToxCast and Tox21 datasets to rank biological activity of chemicals at Superfund sites in North Carolina

Tilley, S. K., Reif, D. M. & Fry, R. C. 2017 In : Environment International. 101, p. 19-26 8 p.

Research output: Research - peer-reviewArticle

Superfund
biological activity
chemical
methodology
programme
3 Citations

Metabolomic profiles of arsenic (+3 oxidation state) methyltransferase knockout mice: effect of sex and arsenic exposure

Huang, M. C., Douillet, C., Su, M., Zhou, K., Wu, T., Chen, W., Galanko, J. A., Drobná, Z., Saunders, R. J., Martin, E., Fry, R. C., Jia, W. & Stýblo, M. Jan 1 2017 In : Archives of Toxicology. 91, 1, p. 189-202 14 p.

Research output: Research - peer-reviewArticle

Methyltransferases
Arsenic
Oxidation
Metabolomics
Knockout Mice

Sexual epigenetic dimorphism in the human placenta: Implications for susceptibility during the prenatal period

Martin, E., Smeester, L., Bommarito, P. A., Grace, M. R., Boggess, K., Kuban, K., Karagas, M. R., Marsit, C. J., O'Shea, T. M. & Fry, R. C. Mar 1 2017 In : Epigenomics. 9, 3, p. 267-278 12 p.

Research output: Research - peer-reviewArticle

Epigenomics
Sex Characteristics
Placenta
DNA Methylation
Gestational Age

Advancing Dose-Response Assessment Methods for Environmental Regulatory Impact Analysis: A Bayesian Belief Network Approach Applied to Inorganic Arsenic

Zabinski, J. W., Garcia-Vargas, G., Rubio-Andrade, M., Fry, R. C. & Gibson, J. M. D. May 10 2016 In : Environmental Science and Technology Letters. 3, 5, p. 200-204 5 p.

Research output: Research - peer-reviewArticle

assessment method
arsenic
dose
analysis
Bayes Theorem