A new class of highly efficient exact stochastic simulation algorithms for chemical reaction networks R Ramaswamy, N González-Segredo, IF Sbalzarini The Journal of chemical physics 130 (24), 2009 | 91 | 2009 |

Antimicrobial peptides induce growth of phosphatidylglycerol domains in a model bacterial membrane AA Polyansky, R Ramaswamy, PE Volynsky, IF Sbalzarini, SJ Marrink, ... The Journal of Physical Chemistry Letters 1 (20), 3108-3111, 2010 | 87 | 2010 |

OpenFPM: A scalable open framework for particle and particle-mesh codes on parallel computers P Incardona, A Leo, Y Zaluzhnyi, R Ramaswamy, IF Sbalzarini Computer Physics Communications 241, 155-177, 2019 | 72 | 2019 |

Discreteness-induced concentration inversion in mesoscopic chemical systems R Ramaswamy, N González-Segredo, IF Sbalzarini, R Grima Nature communications 3 (1), 779, 2012 | 62 | 2012 |

A partial-propensity variant of the composition-rejection stochastic simulation algorithm for chemical reaction networks R Ramaswamy, IF Sbalzarini The Journal of chemical physics 132 (4), 2010 | 44 | 2010 |

Using DC PSE operator discretization in Eulerian meshless collocation methods improves their robustness in complex geometries GC Bourantas, BL Cheeseman, R Ramaswamy, IF Sbalzarini Computers & Fluids 136, 285-300, 2016 | 35 | 2016 |

Activity induces traveling waves, vortices and spatiotemporal chaos in a model actomyosin layer R Ramaswamy, F Jülicher Nature Scientific Reports 6, 20838, 2016 | 32 | 2016 |

Intrinsic noise alters the frequency spectrum of mesoscopic oscillatory chemical reaction systems R Ramaswamy, IF Sbalzarini Scientific Reports 1 (1), 154, 2011 | 22 | 2011 |

Exact on-lattice stochastic reaction-diffusion simulations using partial-propensity methods R Ramaswamy, IF Sbalzarini The Journal of chemical physics 135 (24), 2011 | 20 | 2011 |

A hybrid particle-mesh method for incompressible active polar viscous gels R Ramaswamy, G Bourantas, F Jülicher, IF Sbalzarini Journal of Computational Physics 291, 334-361, 2015 | 19 | 2015 |

A partial-propensity formulation of the stochastic simulation algorithm for chemical reaction networks with delays R Ramaswamy, IF Sbalzarini The Journal of chemical physics 134 (1), 2011 | 18 | 2011 |

pSSAlib: The partial-propensity stochastic chemical network simulator O Ostrenko, P Incardona, R Ramaswamy, L Brusch, IF Sbalzarini PLOS Computational Biology 13 (12), e1005865, 2017 | 13 | 2017 |

Noise-induced modulation of the relaxation kinetics around a non-equilibrium steady state of non-linear chemical reaction networks R Ramaswamy, IF Sbalzarini, N González-Segredo PLoS One 6 (1), e16045, 2011 | 12 | 2011 |

Fast exact stochastic simulation algorithms using partial propensities R Ramaswamy, IF Sbalzarini AIP Conference Proceedings 1281 (1), 1338-1341, 2010 | 11 | 2010 |

Partitioned Parallel Processing Approach for Predicting Multi-Million Neuron Interconnectivity in the Brain: Involving Soma-Axon-Dendrites-Synapse N Venkateswaran, R Rajesh Brain Inspired Cognitive Systems, 2004 | 5 | 2004 |

Global parameter identification of stochastic reaction networks from single trajectories CL Müller, R Ramaswamy, IF Sbalzarini Advances in Systems Biology, 477-498, 2012 | 4 | 2012 |

Post COVID syndrome in patients with COVID-19: a cross-sectional study V Shinde, M Master, R Rajesh Safety and Health at Work 13, S121, 2022 | 3 | 2022 |

Towards Predicting a Million Neuron Interconnect Structure in the Brain: Involving Soma-Axon-Dendrites-Synapse R Ramaswamy Thesissubmitted to Waran Research Foundation, 2004 | 3 | 2004 |

Particle Methods R Ramaswamy, IF Sbalzarini | 1 | 2015 |

Predicting the Morphology of Arbitrary Dendritic Trees through Simulated Annealing N Venkateswaran, R Rajesh, R Rajasimhan, N Sudarshan, M Muhilan | 1 | |