Bifurcation and spatiotemporal patterns in a homogeneous diffusive predator–prey system F Yi, J Wei, J Shi Journal of Differential Equations 246 (5), 1944-1977, 2009 | 569 | 2009 |
Simulation of pool testing to identify patients with coronavirus disease 2019 under conditions of limited test availability A Cherif, N Grobe, X Wang, P Kotanko JAMA network open 3 (6), e2013075-e2013075, 2020 | 88 | 2020 |
Stochastic nonlinear dynamics of interpersonal and romantic relationships K Barley, A Cherif Applied Mathematics and Computation 217 (13), 6273-6281, 2011 | 44 | 2011 |
Sample pooling: burden or solution? N Grobe, A Cherif, X Wang, Z Dong, P Kotanko Clinical Microbiology and Infection 27 (9), 1212-1220, 2021 | 36 | 2021 |
Homo-psychologicus: Reactionary behavioural aspects of epidemics A Cherif, K Barley, M Hurtado Epidemics 14, 45-53, 2016 | 18 | 2016 |
Terrorism: Mechanisms of radicalization processes, control of contagion and counter-terrorist measures A Cherif, H Yoshioka, W Ni, P Bose arXiv preprint arXiv:0910.5272, 2009 | 17 | 2009 |
A mathematical model of parathyroid gland biology G Schappacher‐Tilp, A Cherif, DH Fuertinger, D Bushinsky, P Kotanko Physiological Reports 7 (7), e14045, 2019 | 12 | 2019 |
Comparative analysis of SARS-CoV-2 reproduction rates in the dialysis and general populations A Cherif, JL Willetts, L Usvyat, Y Wang, P Kotanko Journal of the American Society of Nephrology 32 (4), 791-794, 2021 | 11 | 2021 |
An age-structured multi-strain epidemic model for antigenically diverse infectious diseases: A multi-locus framework A Cherif, J Dyson, PK Maini, S Gupta Nonlinear Analysis: Real World Applications 34, 275-315, 2017 | 9 | 2017 |
Mathematical analysis of a multiple strain, multi-locus-allele system for antigenically variable infectious diseases revisited A Cherif Mathematical Biosciences 267, 24-40, 2015 | 8 | 2015 |
A tale of two regions: A mathematical model for Chagas' disease A Cherif, VG Horton, GM Rosario, W Feliciano, B Crawford, JV Guzmán, ... Mathematical and Theoretical Biology Institute MTBI-05-05M, 58-79, 2008 | 8 | 2008 |
A mathematical model of the four cardinal acid-base disorders A Cherif, V Maheshwari, D Fuertinger, G Schappacher-Tilp, P Preciado, ... Mathematical Biosciences and Engineering 17 (5), 4457-4476, 2020 | 7 | 2020 |
Modeling osteoporosis to design and optimize pharmacological therapies comprising multiple drug types DJ Jörg, DH Fuertinger, A Cherif, DA Bushinsky, A Mermelstein, ... Elife 11, e76228, 2022 | 5 | 2022 |
An in silico method to predict net calcium transfer during hemodialysis V Maheshwari, A Cherif, D Fuertinger, G Schappacher-Tilp, P Preciado, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 5 | 2017 |
Stochastic nonlinear dynamical models of interpersonal and romantic relationships: Strange attractions A Cherif Arizona State University, Tempe AZ, 2009 | 5 | 2009 |
Recent Advances and Future Perspectives in the Use of Machine Learning and Mathematical Models in Nephrology PP Galuzio, A Cherif Advances in Chronic Kidney Disease 29 (5), 472-479, 2022 | 4 | 2022 |
Visualizing Malaria Spread Under Climate Variability. X Liang, R Aggarwal, A Cherif, AB Gumel, G Mascaro, R Maciejewski EnvirVis@ EuroVis, 29-33, 2016 | 4 | 2016 |
Specimen collection and storage for pool testing and similar P Kotanko, N Grobe, X Wang, A Cherif, MG Garbaccio US Patent App. 17/356,703, 2022 | 2 | 2022 |
Predicting prescribed dialysis bicarbonate to correct acidemia: application of a novel physiology-based mathematical model A Cherif, V Maheshwari, DH Fuertinger, A Gagel, S Thijssen, ... NEPHROLOGY DIALYSIS TRANSPLANTATION 34, 640-+, 2019 | 2 | 2019 |
SuO001 ACID-BASE DYNAMICS DURING HEMODIALYSIS: QUANTITATIVE INSIGHTS FROM A NOVEL PHYSIOLOGY-BASED MATHEMATICAL MODEL A Cherif, V Maheshwari, DH Fuertinger, A Gagel, DA Bushinsky, ... Nephrology Dialysis Transplantation 34 (Supplement_1), gfz102. SuO001, 2019 | 2 | 2019 |