What is he best known for?
The fields of study he is best known for:
- Gene
- Quantum mechanics
- Internal medicine
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.
His most cited work include:
- Cyclic dermal BMP signalling regulates stem cell activation during hair regeneration (497 citations)
- Mathematical Models of Avascular Tumor Growth (436 citations)
- Pattern formation by lateral inhibition with feedback: a mathematical model of delta-notch intercellular signalling. (407 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Pattern formation (17.07%)
- Cell biology (13.33%)
- Biological system (12.20%)
What were the highlights of his more recent work (between 2015-2021)?
- Cell biology (13.33%)
- Biological system (12.20%)
- Angiogenesis (5.04%)
In recent papers he was focusing on the following fields of study:
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.
Between 2015 and 2021, his most popular works were:
- Comparing individual-based approaches to modelling the self-organization of multicellular tissues (116 citations)
- Architecture of a minimal signaling pathway explains the T-cell response to a 1 million-fold variation in antigen affinity and dose. (56 citations)
- Cell proliferation within small intestinal crypts is the principal driving force for cell migration on villi (42 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Quantum mechanics
- Internal medicine
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.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
