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Person Details: Yan Lin

Superfund Research Program

Yan Lin

University of New Mexico
1 University of New Mexico
MSC10-5550
Albuquerque, New Mexico 87131
Email: yanlin@unm.edu

Projects

Publications

2023

  • Girlamo C, Lin Y, Hoover JH, Beene D, Woldeyohannes T, Liu Z, Campen M, MacKenzie D, Lewis JL. 2023. Meteorological data source comparison-a case study in geospatial modeling of potential environmental exposure to abandoned uranium mine sites in the Navajo Nation. Environ Monit Assess 195(7):834. doi:10.1007/s10661-023-11283-w PMID:37303005 PMCID:PMC10258180
  • Gong X, Huang Y, Duong J, Leng S, Zhan FB, Guo Y, Lin Y, Luo L. 2023. Industrial air pollution and low birth weight in New Mexico, USA. J Environ Manage 348:119236. doi:10.1016/j.jenvman.2023.119236 PMID:37857221
  • Gong X, Liu L, Huang Y, Zhou B, Sun Y, Luo L, Lin Y. 2023. A pruned feed-forward neural network (pruned-FNN) approach to measure air pollution exposure. Environ Monit Assess 195(10):1183. doi:10.1007/s10661-023-11814-5 PMID:37695355
  • Huang Y, Gong X, Liu L, Luo L, Leng S, Lin Y. 2023. Maternal exposure to metal components of PM2.5 and low birth weight in New Mexico, USA. Res Sq doi:10.21203/rs.3.rs-2666605/v1 PMID:37034648 PMCID:PMC10081375
  • Jiang M, Hu CJ, Rowe CL, Kang H, Gong X, Dagucon CP, Wang J, Lin Y, Sood A, Guo Y, Zhu Y, Alexis N, Gilliland FD, Belinsky SA, Yu X, Leng S. 2023. Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles. J Expo Sci Environ Epidemiol doi:10.1038/s41370-023-00607-0 PMID:37848612

2022

  • Beene D, Collender P, Cardenas A, Harvey CF, Huhmann LB, Lin Y, Lewis JL, Lolacono NJ, Navas-Acien A, Nigra AE, Steinmaus CM, van Geen AF. 2022. A mass-balance approach to evaluate arsenic intake and excretion in different populations. Environ Int 166:107371. doi:10.1016/j.envint.2022.107371 PMID:35809487
  • Gong X, Lu Y, Beene D, Li Z, Hu T, Morgan M, Lin Y. 2022. Understanding public perspectives on fracking in the United States using social media big data. Ann GIS doi:10.1080/19475683.2022.2121856
  • Liu Z, Lin Y, Hoover J, Beene D, Charley PH, Singer N. 2022. Individual level spatial-temporal modelling of exposure potential of livestock in the Cove Wash watershed, Arizona. Ann GIS doi:10.1080/19475683.2022.2075935
  • Scieszka D, Hunter R, Begay J, Bitsui M, Lin Y, Galewsky J, Morishita M, Klaver Z, Wagner JG, Harkema JR, Herbert G, Lucas S, McVeigh C, Bolt AM, Bleske B, Canal CG, Mostovenko E, Ottens AK, Gu H, Campen M, Noor S. 2022. Neuroinflammatory and neurometabolomic consequences from inhaled wildfire smoke-derived particulate matter in the western United States. Toxicol Sci 186(1):doi:10.1093/toxsci/kfab147 PMID:34865172 PMCID:PMC8883349

2020

  • Lin Y, Hoover JH, Beene D, Erdei E, Liu Z. 2020. Environmental risk mapping of potential abandoned uranium mine contamination on the Navajo Nation, USA, using a GIS-based multi-criteria decision analysis approach. Environ Sci Pollut Res Int doi:10.1007/s11356-020-09257-3 PMID:32468361

2018

  • Zychowski KE, Kodali V, Harmon M, Tyler CR, Sanchez B, Suarez YO, Herbert G, Wheeler A, Avasarala S, Cerrato JM, Kunda NK, Muttil P, Shuey CL, Brearley AJ, Ali AS, Lin Y, Shoeb M, Erdely A, Campen M. 2018. Respirable Uranyl-Vanadate-Containing Particulate Matter Derived From a Legacy Uranium Mine Site Exhibits Potentiated Cardiopulmonary Toxicity. Toxicol Sci 164:101-114. doi:10.1093/toxsci/kfy064 PMID:29660078 PMCID:PMC6016706
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