Mathematical models of malaria-a review S Mandal, RR Sarkar, S Sinha Malaria journal 10, 1-19, 2011 | 512 | 2011 |
Toxin-producing plankton may act as a biological control for planktonic blooms—field study and mathematical modelling J Chattopadhayay, RR Sarkar, S Mandal Journal of Theoretical Biology 215 (3), 333-344, 2002 | 294 | 2002 |
Visceral Leishmaniasis in the Indian Subcontinent: Modelling Epidemiology and Control A Stauch, RR Sarkar, A Picado, B Ostyn, S Sundar, S Rijal, M Boelaert, ... PLoS Neglected Tropical Diseases 5 (11), e1405, 2011 | 203 | 2011 |
A delay differential equation model on harmful algal blooms in the presence of toxic substances J Chattopadhyay, RR Sarkar, A El Abdllaoui Mathematical Medicine and Biology: A Journal of the IMA 19 (2), 137-161, 2002 | 174 | 2002 |
Cancer self remission and tumor stability–a stochastic approach RR Sarkar, S Banerjee Mathematical Biosciences 196 (1), 65-81, 2005 | 157 | 2005 |
Delay-induced model for tumor–immune interaction and control of malignant tumor growth S Banerjee, RR Sarkar Biosystems 91 (1), 268-288, 2008 | 139 | 2008 |
Comparison of human cell signaling pathway databases—evolution, drawbacks and challenges S Chowdhury, RR Sarkar DATABASE The Journal of Biological Databases and Curation 2015 (10.1093 …, 2015 | 130 | 2015 |
Occurrence of planktonic blooms under environmental fluctuations and its possible control mechanism—mathematical models and experimental observations RR Sarkar, J Chattopadhayay Journal of Theoretical biology 224 (4), 501-516, 2003 | 119 | 2003 |
Spatiotemporal patterns in an excitable plankton system with lysogenic viral infection H Malchow, FM Hilker, RR Sarkar, K Brauer Mathematical and computer modelling 42 (9-10), 1035-1048, 2005 | 69 | 2005 |
Chaos to order: preliminary experiments with a population dynamics models of three trophic levels J Chattopadhyay, RR Sarkar Ecological Modelling 163 (1-2), 45-50, 2003 | 68 | 2003 |
Dynamics of nutrient–phytoplankton interaction in the presence of viral infection J Chattopadhyay, RR Sarkar, S Pal BioSystems 68 (1), 5-17, 2003 | 62 | 2003 |
Removal of infected prey prevent limit cycle oscillations in an infected prey–predator system—a mathematical study J Chattopadhyay, RR Sarkar, G Ghosal Ecological Modelling 156 (2-3), 113-121, 2002 | 56 | 2002 |
Time lags can control algal bloom in two harmful phytoplankton–zooplankton system RR Sarkar, B Mukhopadhyay, R Bhattacharyya, S Banerjee Applied Mathematics and Computation 186 (1), 445-459, 2007 | 52 | 2007 |
Mathematical modelling of harmful algal blooms supported by experimental findings J Chattopadhyay, RR Sarkar, S Pal Ecological Complexity 1 (3), 225-235, 2004 | 51 | 2004 |
The role of environmental stochasticity in a toxic phytoplankton–non‐toxic phytoplankton–zooplankton system RR Sarkar, J Chattopadhayay Environmetrics: The official journal of the International Environmetrics …, 2003 | 49 | 2003 |
Role of two toxin-producing plankton and their effect on phytoplankton–zooplankton system–a mathematical study supported by experimental findings RR Sarkar, S Pal, J Chattopadhyay BioSystems 80 (1), 11-23, 2005 | 47 | 2005 |
Optimal combinations of control strategies and cost-effective analysis for visceral leishmaniasis disease transmission S Biswas, A Subramanian, IM ELMojtaba, J Chattopadhyay, RR Sarkar PloS ONE 12 (2), e0172465, 2017 | 41 | 2017 |
Multi-step polynomial regression method to model and forecast malaria incidence C Chatterjee, RR Sarkar PLoS One 4 (3), e4726, 2009 | 40 | 2009 |
An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features S Nandi, A Subramanian, RR Sarkar Molecular Biosystems 13, 1584 - 1596; DOI: 10.1039/C7MB00234C, 2017 | 39 | 2017 |
Impacts of incubation delay on the dynamics of an eco-epidemiological system—a theoretical study N Bairagi, RR Sarkar, J Chattopadhyay Bulletin of mathematical biology 70, 2017-2038, 2008 | 38 | 2008 |