What is he best known for?
The fields of study he is best known for:
His primary scientific interests are in Cancer, Angiogenesis, Extracellular matrix, Cell biology and Cancer research.
Alexander R. A. Anderson combines subjects such as Evolutionary dynamics, Personalized medicine, Immunology and Ecology with his study of Cancer.
His Angiogenesis research includes themes of Endothelial stem cell, Blood viscosity and Blood flow.
His study explores the link between Extracellular matrix and topics such as Matrix that cross with problems in Pseudopodia.
His Cell biology research is multidisciplinary, incorporating perspectives in Phenotype, Cadherin, Cell and Cancer cell.
The study incorporates disciplines such as Radiation therapy, Programmed cell death, Metastasis and Cell growth in addition to Cancer research.
His most cited work include:
- Continuous and Discrete Mathematical Models of Tumor-induced Angiogenesis (886 citations)
- Tumor morphology and phenotypic evolution driven by selective pressure from the microenvironment. (608 citations)
- A hybrid mathematical model of solid tumour invasion: the importance of cell adhesion (450 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cancer, Cancer research, Phenotype, Cancer cell and Computational biology.
His research integrates issues of Oncology, Immunology and Bioinformatics in his study of Cancer.
His Cancer research study integrates concerns from other disciplines, such as Tumor progression, Prostate cancer, Immune system and Pathology.
His work carried out in the field of Phenotype brings together such families of science as Evolutionary biology, Evolutionary dynamics, Tumor microenvironment and Cell biology.
The Cell biology study combines topics in areas such as Cell, Cell adhesion and Cell growth.
His Computational biology research incorporates elements of Genetics, Drug resistance, Fitness landscape and Antibiotic resistance.
He most often published in these fields:
- Cancer (25.80%)
- Cancer research (20.49%)
- Phenotype (19.43%)
What were the highlights of his more recent work (between 2018-2021)?
- Phenotype (19.43%)
- Cancer (25.80%)
- Evolutionary dynamics (11.66%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Phenotype, Cancer, Evolutionary dynamics, Internal medicine and Oncology.
His Phenotype research includes elements of Cancer cell, Cell, Cancer research and Evolutionary biology.
His study on Cell also encompasses disciplines like
- Glioblastoma which intersects with area such as Computational biology and Treatment response,
- Keratinocyte and Genomic data most often made with reference to Cell biology.
His studies deal with areas such as Disease and Chemotherapy as well as Cancer.
His biological study deals with issues like Ecology, which deal with fields such as Continuous variable and Abundance.
His Oncology research focuses on Melanoma and how it relates to Microphthalmia-associated transcription factor.
Between 2018 and 2021, his most popular works were:
- Antibiotic collateral sensitivity is contingent on the repeatability of evolution (70 citations)
- The 2019 mathematical oncology roadmap. (65 citations)
- Towards Multidrug Adaptive Therapy. (37 citations)
In his most recent research, the most cited papers focused on:
Evolutionary dynamics, Phenotype, Cancer, Computational biology and Context are his primary areas of study.
His work deals with themes such as Exome sequencing, Genetics, Immune system, Antigen and Negative selection, which intersect with Evolutionary dynamics.
His study in Phenotype is interdisciplinary in nature, drawing from both Cancer cell, Cell, Ecology and Evolutionary biology.
His Cell research is multidisciplinary, incorporating elements of Microphthalmia-associated transcription factor, Melanoma and Cell biology.
The subject of his Cancer research is within the realm of Internal medicine.
Alexander R. A. Anderson has researched Computational biology in several fields, including Pipeline, Personalized medicine and Germline mutation.
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