Garikipati, Krishna

In silico estimates of the free energy rates in growing tumor spheroids

Narayanan, H., Verner, S. N., Mills, K. L., Kemkemer, R., & Garikipati, K. (2010) · Journal of Physics: Condensed Matter

Mathematical Biology Tumor GrowthCancer Cells and Metastasis

Cited by 31

Perspectives on the mathematics of biological patterning and morphogenesis

Garikipati, K. (2017) · Journal of the Mechanics and Physics of Solids

Cellular Mechanics and InteractionsMathematical Biology Tumor Growth

Cited by 28

System Inference Via Field Inversion for the Spatio-Temporal Progression of Infectious Diseases: Studies of COVID-19 in Michigan and Mexico

Wang, Z., Carrasco-Teja, M., Zhang, X., Teichert, G. H., & Garikipati, K. (2021) · Archives of Computational Methods in Engineering

COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models

Cited by 9

Oscillatory ERK Signaling and Morphology Determine Heterogeneity of Breast Cancer Cell Chemotaxis via MEK-ERK and p38-MAPK Signaling Pathways

Ho, K. K. Y., Srivastava, S., Kinnunen, P. C., Garikipati, K., Luker, G. D., & Luker, K. E. (2023) · Bioengineering

Gene Regulatory Network AnalysisProtein Kinase Regulation and GTPase Signaling

Cited by 8

Inference of weak-form partial differential equations describing migration and proliferation mechanisms in wound healing experiments on cancer cells

Srivastava, S., Kinnunen, P. C., Wang, Z., Ho, K. K. Y., Humphries, B. A., Chen, S., Linderman, J. J., Luker, G. D., Luker, K. E., & Garikipati, K. (2025) · PLOS Computational Biology

Mathematical Biology Tumor GrowthCellular Mechanics and Interactions

Cited by 5

Pattern formation in dense populations studied by inference of nonlinear diffusion‐reaction mechanisms

Srivastava, S., & Garikipati, K. (2024) · International Journal for Numerical Methods in Engineering

Nonlinear Dynamics and Pattern FormationModel Reduction and Neural Networks

Cited by 2