Person Details: Yan Lin

Superfund Research Program

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

Hoover JH, Lin Y, Beene D, Liu Z. Partnering with Indigenous Communities to Address the Environmental Health Legacy of Abandoned Mines in the Western United States. In: The Rocky Mountain West: A Compendium of Geographic Perspectives. American Association of Geographers, Washington D.C., DC.

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. Environ Sci Pollut Res Int 30(43):98526-98535. doi:10.1007/s11356-023-29291-1 PMID:37608181 PMCID:PMC10829739
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

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

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

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