Publications

Cancer and Aging:

  • Sarkar, S., Schechter, C., Kurian, A.W., Caswell-Jin, J.L., Jayasekera, J. and Mandelblatt, J.S., 2025. Impact of endocrine therapy regimens for early-stage ER+/HER2-breast cancer on contralateral breast cancer risk. NPJ Breast Cancer, 11(1), p.30.
  • Mandelblatt, J.S., Antoni, M.H., Bethea, T.N., Cole, S., Hudson, B.I., Penedo, F.J., Ramirez, A.G., Rebeck, G.W., Sarkar, S., Schwartz, A.G. and Sloan, E.K., 2025. Gerotherapeutics: aging mechanism–based pharmaceutical and behavioral interventions to reduce cancer racial and ethnic disparities. JNCI: Journal of the National Cancer Institute, 117(3), pp.406-422.
  • Jayasekera, J.C., Wilson, O.W., Schechter, C., Jin, J.L.C., Wojcik, K.M., van Ravesteyn, N.T., Wall, J., Schneider, J., D’Addario, L.L., Roh, J.M. and Sarkar, S., 2025. Development and validation of a simulation model–based tool to support individualized physical activity discussions and prescriptions for breast cancer survivors. JCO clinical cancer informatics, 9, p.e2500151.

Computational Biology:

  • Pierce, L., Anderson, H., Sarkar, S., Bauer, S. R., & Sarkar, S. (2024). Experimental and computational approach to establish fit-for-purpose cell viability assays. Regenerative Medicine, 19(1), 27-45.
  • Sarkar, S. (2022). Communication network model of the immune system identifies the impact of interactions with SARS-CoV-2 proteins. arXiv preprint arXiv:2208.06355.
  • Sarkar, S., & Rammohan, J. (2023). Nearly maximal information gain due to time integration in central dogma reactions. Iscience, 26(6).
  • Rammohan, J., Sarkar, S., & Ross, D. (2022) Single-cell measurement quality in bits.PLoS ONE 17(8): e0269272.
  • Sarkar, S., Hubbard, J. B., Halter, M., & Plant, A. L. (2021). Information Thermodynamics and Reducibility of Large Gene Networks. Entropy, 23(1), 63.
  • Sarkar, S., Tack, D., & Ross, D. (2020). Sparse estimation of mutual information landscapes quantifies information transmission through cellular biochemical reaction networks. Communications biology, 3(1), 1-8.
  • Hubbard, J. B., Halter, M., Sarkar, S., & Plant, A. L. (2020). The role of fluctuations in determining cellular network thermodynamics. PloS one, 15(3), e0230076.

Computational Biomaterials:

  • Sarkar, S., & Lin‐Gibson, S. (2018). Computational Design of Photocured Polymers Using Stochastic Reaction–Diffusion Simulation. Advanced Theory and Simulations, 1(7), 1800028.
  • Sarkar, S., Baker, P. J., Chan, E. P., Lin-Gibson, S., & Chiang, M. Y. (2017). Quantifying the sensitivity of the network structure and properties from simultaneous measurements during photopolymerization. Soft matter, 13(21), 3975-3983.

Computational Materials:

  • Sarkar, S., Warner, J. E., Aquino, W., & Grigoriu, M. D. (2014). Stochastic reduced order models for uncertainty quantification of intergranular corrosion rates. Corrosion Science, 80, 257-268.
  • Sarkar, S., & Aquino, W. (2013). Changes in electrodic reaction rates due to elastic stress and stress-induced surface patterns. Electrochimica Acta, 111, 814-822.
  • Sarkar, S., Warner, J. E., & Aquino, W. (2012). A numerical framework for the modeling of corrosive dissolution. Corrosion Science, 65, 502-511.
  • Sarkar, S., & Aquino, W. (2011). Electroneutrality and ionic interactions in the modeling of mass transport in dilute electrochemical systems. Electrochimica acta, 56(24), 8969-8978.