Ram Rup Sarkar
Ram Rup Sarkar
Senior Principal Scientist at CSIR-National Chemical Laboratory, Pune India
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Mathematical models of malaria-a review
S Mandal, RR Sarkar, S Sinha
Malaria journal 10 (1), 1-19, 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
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
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
Cancer self remission and tumor stability–a stochastic approach
RR Sarkar, S Banerjee
Mathematical Biosciences 196 (1), 65-81, 2005
Delay-induced model for tumor–immune interaction and control of malignant tumor growth
S Banerjee, RR Sarkar
Biosystems 91 (1), 268-288, 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
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
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
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
Dynamics of nutrient–phytoplankton interaction in the presence of viral infection
J Chattopadhyay, RR Sarkar, S Pal
BioSystems 68 (1), 5-17, 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
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
Mathematical modelling of harmful algal blooms supported by experimental findings
J Chattopadhyay, RR Sarkar, S Pal
Ecological Complexity 1 (3), 225-235, 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
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
Multi-step polynomial regression method to model and forecast malaria incidence
C Chatterjee, RR Sarkar
PLoS One 4 (3), e4726, 2009
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
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
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
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