HOME /

Publications

Search
[ Author(Asc)] Title Type Year
M
Moss, R. , & Layton, A. . (2013). Modeling the effects of medullary blood flow regulation on pressure natriuresis. The Federation of American Societies for Experimental Biology.
Moore, L. C. , Siu, K. L. , Layton, A. T. , Layton, H. E. , & Chon, K. H. . (2006). Evidence for Multi-Stability of the Tubuloglomerular Feedback System in Spontaneously-Hypertensive Rats (SHR). Federation of American Societies for Experimental Biology.
Modell, B. , Khan, M. , Darlison, M. , King, A. , Layton, M. , Old, J. , Petrou, M. , et al. (2001). A national register for surveillance of inherited disorders: beta thalassaemia in the United Kingdom. Bulletin of the World Health Organization, 79, 1006–1013. World Health Organization Genebra, Genebra, Switzerland.
McDonough, A. A. , Harris, A. N. , Xiong, L. , & Layton, A. T. . (2023). Sex differences in renal transporters: assessment and functional consequences. Nature Reviews Nephrology, 1–16. Nature Publishing Group UK London.
McDonough, A. A. , Layton, , & T., A. . (2023). Sex differences in renal electrolyte transport. Current Opinion in Nephrology and Hypertension, 10, 1097.
Marcano, M. , Layton, A. T. , & Layton, H. E. . (2010). Maximum urine concentrating capability in a mathematical model of the inner medulla of the rat kidney. Bulletin of mathematical biology, 72, 314–339. Springer-Verlag.
Marcano, M. , Layton, A. T. , & Layton, H. E. . (2007). Maximum Urine Concentrating Capability for Transport Parameters and Urine Flow within Prescribed Ranges. The Federation of American Societies for Experimental Biology.
Marcano, M. , Layton, A. T. , & Layton, H. E. . (2006). Estimation of Collecting Duct Parameters for Maximum Urine Concentrating Capability in a Mathematical Model of the Rat Inner Medulla. Federation of American Societies for Experimental Biology.
Marcano, M. , Layton, A. T. , & Layton, H. E. . (2006). An optimization algorithm for a distributed-loop model of an avian urine concentrating mechanism. Bulletin of mathematical biology, 68, 1625–1660. Springer-Verlag.
Marcano, M. , Layton, A. T. , & Layton, H. E. . (2005). An optimization algorithm for a model of the urine concentrating mechanism in rat inner medulla. In FASEB JOURNAL (Vol. 19, pp. A150–A150). FEDERATION AMER SOC EXP BIOL 9650 ROCKVILLE PIKE, BETHESDA, MD 20814-3998 USA.
L
Loreto, M. , & Layton, A. T. . (2010). An optimization study of a mathematical model of the urine concentrating mechanism of the rat kidney. Mathematical biosciences, 223, 66–78. Elsevier.
Liu, R. , & Layton, A. T. . (2016). Modeling the effects of positive and negative feedback in kidney blood flow control. Mathematical biosciences, 276, 8–18. Elsevier.
Li, Q. , McDonough, A. A. , Layton, H. E. , & Layton, A. T. . (2018). Functional implications of sexual dimorphism of transporter patterns along the rat proximal tubule: modeling and analysis. American Journal of Physiology-Renal Physiology, 315, F692–F700. American Physiological Society Bethesda, MD.
Li, Y. , Sgouralis, I. , & Layton, A. T. . (2014). Computing viscous flow in an elastic tube. Numerical Mathematics: Theory, Methods and Applications, 7, 555–574. Cambridge University Press.
Li, Y. , Williams, S. A. , & Layton, A. T. . (2013). A hybrid immersed interface method for driven Stokes flow in an elastic tube. Numerical Mathematics: Theory, Methods and Applications, 6, 600–616. Cambridge University Press.
Li, Y. , & Layton, A. T. . (2012). Accurate computation of Stokes flow driven by an open immersed interface. Journal of Computational Physics, 231, 5195–5215. Elsevier.
Leiderman, K. , Bouzarth, E. L. , Cortez, R. , & Layton, A. T. . (2013). A regularization method for the numerical solution of periodic Stokes flow. Journal of Computational Physics, 236, 187–202. Elsevier.
Lei, T. , Zhou, L. , Layton, A. T. , Zhou, H. , Zhao, X. , Bankir, L. , & Yang, B. . (2011). Role of thin descending limb urea transport in renal urea handling and the urine concentrating mechanism. American Journal of Physiology-Renal Physiology, 301, F1251–F1259. American Physiological Society Bethesda, MD.
Leete, J. , Wang, C. , López-Hernández, F. J. , & Layton, A. T. . (2022). Determining risk factors for triple whammy acute kidney injury. Mathematical Biosciences, 347, 108809. Elsevier.
Leete, J. , Ahmed, S. , Hernandez, F. J. Lopez, & Layton, A. . (2019). Determining Risk Factors for Triple Whammy AKI using Computational Models of Long-Term Blood Pressure Regulation. The FASEB Journal, 33, 758–5. The Federation of American Societies for Experimental Biology.

Pages