2015 - Fellow of the Royal Society, United Kingdom
2012 - SIAM Fellow For contributions to mathematical biology.
Fellow of The Academy of Medical Sciences, United Kingdom
His scientific interests lie mostly in Cell biology, Pattern formation, Biological system, Statistical physics and Reaction–diffusion system. His studies in Cell biology integrate themes in fields like Blood flow, Angiogenesis and Anatomy. His Pattern formation research includes elements of Cell aggregation, Ecology, Robustness and Body Patterning.
His research in Biological system intersects with topics in Chemotaxis, Nanotechnology and Dynamics. As part of the same scientific family, Philip K. Maini usually focuses on Chemotaxis, concentrating on Biophysics and intersecting with Mechanism. Philip K. Maini focuses mostly in the field of Statistical physics, narrowing it down to topics relating to Domain and, in certain cases, Boundary value problem.
Philip K. Maini mainly focuses on Pattern formation, Cell biology, Biological system, Statistical physics and Ecology. The study incorporates disciplines such as Evolutionary biology, Reaction–diffusion system, Instability, Morphogenesis and Nonlinear system in addition to Pattern formation. His research combines Mathematical analysis and Nonlinear system.
The various areas that Philip K. Maini examines in his Cell biology study include Cell and Cell migration. His work often combines Biological system and Simple studies. His research ties Partial differential equation and Statistical physics together.
The scientist’s investigation covers issues in Cell biology, Biological system, Angiogenesis, Statistical physics and Context. The Cell biology study combines topics in areas such as Cell, Cell migration and Mesoderm. His research brings together the fields of Reaction–diffusion system and Biological system.
His Angiogenesis research incorporates elements of Endothelial stem cell, Multiscale modeling, Chemotaxis and In vivo. His Statistical physics study combines topics in areas such as Continuum, Partial differential equation and Instability. His research investigates the link between Nonlinear system and topics such as Stiffness that cross with problems in Mechanics and Pattern formation.
Cell biology, Cancer, Neural crest, Cell migration and Scratch are his primary areas of study. His Cell biology research is multidisciplinary, incorporating elements of Immunology and T-cell receptor. His Cancer study incorporates themes from Computational biology and Chemotherapy.
The concepts of his Neural crest study are interwoven with issues in Bioinformatics and Mesoderm. His work on Epithelial cell migration as part of general Cell migration research is frequently linked to Villus cell, thereby connecting diverse disciplines of science. His biological study deals with issues like Range, which deal with fields such as Radiation therapy.
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Cyclic dermal BMP signalling regulates stem cell activation during hair regeneration
Maksim V. Plikus;Julie Ann Mayer;Damon de la Cruz;Ruth E. Baker.
Mathematical Models of Avascular Tumor Growth
Tiina Roose;S. Jonathan Chapman;Philip K. Maini.
Siam Review (2007)
Pattern formation by lateral inhibition with feedback: a mathematical model of delta-notch intercellular signalling.
Joanne R. Collier;Nicholas A.M. Monk;Philip K. Maini;Julian H. Lewis.
Journal of Theoretical Biology (1996)
A cellular automaton model for tumour growth in inhomogeneous environment
T. Alarcón;H.M. Byrne;P.K. Maini.
Journal of Theoretical Biology (2003)
On the foundations of cancer modelling: Selected topics, speculations, and perspectives
Nicola Bellomo;Nicola Bellomo;N.K. Li;P.K. Maini.
Mathematical Models and Methods in Applied Sciences (2008)
Spatial pattern formation in chemical and biological systems
Philip K. Maini;Kevin J. Painter;Helene Nguyen Phong Chau.
Journal of the Chemical Society, Faraday Transactions (1997)
Cellular adaptations to hypoxia and acidosis during somatic evolution of breast cancer
R A Gatenby;K Smallbone;P K Maini;F Rose.
British Journal of Cancer (2007)
Reaction and Diffusion on Growing Domains: Scenarios for Robust Pattern Formation
Edmund J. Crampin;Eamonn A. Gaffney;Philip K. Maini.
Bulletin of Mathematical Biology (1999)
Inherent noise can facilitate coherence in collective swarm motion
Christian A. Yates;Radek Erban;Carlos Escudero;Iain D. Couzin.
Proceedings of the National Academy of Sciences of the United States of America (2009)
On the spatial spread of the grey squirrel in Britain.
Akira Okubo;Philip Kumar Maini;M. H. Williamson;James Dickson Murray.
Proceedings of The Royal Society B: Biological Sciences (1989)
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