1. Tiwari, P.K., R.K. Singh, S. Khajanchi, Y. Kang and A.K. Misra, 2020. A mathematical model to restore water quality in urban lakes using Phoslock. Am. Inst. Math. Sci., 10.3934/dcdsb.2020223.
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2. Sarkar, K. and S. Khajanchi, 2020. Impact of fear effect on the growth of prey in a predator-prey interaction model. Ecol. Complexity, Vol. 42. 10.1016/j.ecocom.2020.100826.
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3. Misra, A.K., R.K. Singh, P.K. Tiwari, S. Khajanchi and Y. Kang, 2020. Dynamics of algae blooming: effects of budget allocation and time delay. Nonlinear Dyn., 100: 1779-1807.
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4. Khajanchi, S., 2020. Chaotic dynamics of a delayed tumor–immune interaction model. Int. J. Biomath., Vol. 13. 10.1142/S1793524520500096.
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5. Das, D.K., S. Khajanchi and T.K. Kar, 2020. The impact of the media awareness and optimal strategy on the prevalence of tuberculosis. Appl. Math. Comput., 10.1016/j.amc.2019.124732.
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6. Khajanchi, S., 2019. Stability analysis of a mathematical model for glioma-immune interaction under optimal therapy. Int. J. Nonlinear Sci. Numer. Simul., 20: 269-285.
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7. Khajanchi, S. and S. Banerjee, 2019. A strategy of optimal efficacy of T11 target structure in the treatment of brain tumor. J. Biol. Syst., 27: 225-255.
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8. Khajanchi, S. and J.J. Nieto, 2019. Mathematical modeling of tumor-immune competitive system, considering the role of time delay. Appl. Math. Comput., 340: 180-205.
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9. Das, D.K., S. Khajanchi and T.K. Kar, 2019. Transmission dynamics of tuberculosis with multiple re-infections. Chaos, Solitons Fractals, Vol. 130. 10.1016/j.chaos.2019.109450.
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10. Das, D.K., S. Khajanchi and T.K. Kar, 2019. Influence of multiple re-infections in tuberculosis transmission dynamics: A mathematical approach. IEEE, 10.1109/ICMSAO.2019.8880397.
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11. Khajanchi, S., M. Perc and D. Ghosh, 2018. The influence of time delay in a chaotic cancer model. Chaos, Vol. 28. 10.1063/1.5052496.
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12. Khajanchi, S., D.K. Das and T.K. Kar, 2018. Dynamics of tuberculosis transmission with exogenous reinfections and endogenous reactivation. Phy. A: Stat. Mech. Appl., 497: 52-71.
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13. Khajanchi, S., 2018. Modeling the dynamics of glioma-immune surveillance. Chaos Solitons Fractals, 114: 108-118.
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14. Khajanchi, S. and S. Banerjee, 2018. Influence of multiple delays in brain tumor and immune system interaction with T11 target structure as a potent stimulator. Math. Biosci., 302: 116-130.
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15. Khajanchi, S., 2017. Uniform persistence and global stability for a brain tumor and immune system interaction. Biophy. Rev. Lett., 12: 187-208.
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16. Khajanchi, S., 2017. Modeling the dynamics of stage-structure predator-prey system with Monod–Haldane type response function. Appl. Math. Comput., 302: 122-143.
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17. Khajanchi, S. and S. Banerjee, 2017. Role of constant prey refuge on stage structure predator–prey model with ratio dependent functional response. Appl. Math. Comput., 314: 193-198.
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18. Khajanchi, S. and S. Banerjee, 2017. Quantifying the role of immunotherapeutic drug T11 target structure in progression of malignant gliomas: Mathematical modeling and dynamical perspective. Math. Biosci., 289: 69-77.
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19. Ghosh, D., S. Khajanchi, S. Mangiarotti, F. Denis, S.K. Dana and C. Letellier, 2017. How tumor growth can be influenced by delayed interactions between cancer cells and the microenvironment?. Biosystems, 158: 17-30.
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20. Khajanchi, S., 2016. Bifurcations and oscillatory dynamics in a tumor immune interaction model. BIOMAT, 2015: 241-259.
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21. Khajanchi, S., 2015. Bifurcation analysis of a delayed mathematical model for tumor growth. Chaos, Solitons Fractals, 77: 264-276.
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22. Khajanchi, S. and D. Ghosh, 2015. The combined effects of optimal control in cancer remission. Applied Math. Comput., 271: 375-388.
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23. Banerjee, S., S. Khajanchi and S. Chaudhuri, 2015. A mathematical model to elucidate brain tumor abrogation by immunotherapy with T11 Target structure. PloS One, Vol. 10. 10.1371/journal.pone.0123611.
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24. Khajanchi, S., 2014. Dynamic behavior of a Beddington-DeAngelis type stage structured predator-prey model. Applied Math. Comput., 244: 344-360.
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25. Khajanchi, S. and S. Banerjee, 2014. Stability and bifurcation analysis of delay induced tumor immune interaction model. Applied Math. Comput., 248: 652-671.
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26. Khajanchi, S. and S. Banerjee, 2013. Global stability of a tumor-immune interaction model. Math. Sci. Int. Res. J., 2: 308-311.
27. Nandi, S., S. Khajanchi, A.N. Chatterjee and P.K. Roy, 2011. Insight of viral infection of jatropha curcas plant (future fuel): A control based mathematical study. Acta Anal. Functionalis Applicata, 13: 366-374.
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