RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Paul Juarez to Environmental Exposure

This is a "connection" page, showing publications Paul Juarez has written about Environmental Exposure.
Connection Strength

1.364
  1. Juarez PD, Matthews-Juarez P, Hood DB, Im W, Levine RS, Kilbourne BJ, Langston MA, Al-Hamdan MZ, Crosson WL, Estes MG, Estes SM, Agboto VK, Robinson P, Wilson S, Lichtveld MY. The public health exposome: a population-based, exposure science approach to health disparities research. Int J Environ Res Public Health. 2014 Dec; 11(12):12866-95.
    View in: PubMed
    Score: 0.443
  2. Juarez P. Sequencing the public health genome. J Health Care Poor Underserved. 2013 Feb; 24(1 Suppl):114-20.
    View in: PubMed
    Score: 0.389
  3. Juarez PD, Hood DB, Song MA, Ramesh A. Use of an Exposome Approach to Understand the Effects of Exposures From the Natural, Built, and Social Environments on Cardio-Vascular Disease Onset, Progression, and Outcomes. Front Public Health. 2020; 8:379.
    View in: PubMed
    Score: 0.164
  4. Juarez PD, Tabatabai M, Valdez RB, Hood DB, Im W, Mouton C, Colen C, Al-Hamdan MZ, Matthews-Juarez P, Lichtveld MY, Sarpong D, Ramesh A, Langston MA, Rogers GL, Phillips CA, Reichard JF, Donneyong MM, Blot W. The Effects of Social, Personal, and Behavioral Risk Factors and PM2.5 on Cardio-Metabolic Disparities in a Cohort of Community Health Center Patients. Int J Environ Res Public Health. 2020 05 19; 17(10).
    View in: PubMed
    Score: 0.161
  5. Langston MA, Levine RS, Kilbourne BJ, Rogers GL, Kershenbaum AD, Baktash SH, Coughlin SS, Saxton AM, Agboto VK, Hood DB, Litchveld MY, Oyana TJ, Matthews-Juarez P, Juarez PD. Scalable combinatorial tools for health disparities research. Int J Environ Res Public Health. 2014 Oct 10; 11(10):10419-43.
    View in: PubMed
    Score: 0.109
  6. Chen CK, Bruce M, Tyler L, Brown C, Garrett A, Goggins S, Lewis-Polite B, Weriwoh ML, Juarez PD, Hood DB, Skelton T. Analysis of an environmental exposure health questionnaire in a metropolitan minority population utilizing logistic regression and Support Vector Machines. J Health Care Poor Underserved. 2013 Feb; 24(1 Suppl):153-71.
    View in: PubMed
    Score: 0.097
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support