What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Gene
- Electron
Benjamin D. Simons focuses on Stem cell, Cell biology, Cellular differentiation, Progenitor cell and Adult stem cell.
His Stem cell study combines topics in areas such as Immunology, Cell division and Anatomy.
He has included themes like Clone and Cell growth in his Cell biology study.
His Cellular differentiation research integrates issues from Endothelial stem cell, Gastrulation, Induced pluripotent stem cell and Mesoderm.
His Progenitor cell research includes themes of Lineage, Transcription factor, Embryogenesis and Neurogenesis, Neuroscience.
The various areas that he examines in his Adult stem cell study include Crypt and Epidermis.
His most cited work include:
- Intestinal crypt homeostasis results from neutral competition between symmetrically dividing Lgr5 stem cells (1312 citations)
- A single type of progenitor cell maintains normal epidermis (694 citations)
- Defining the mode of tumour growth by clonal analysis (566 citations)
What are the main themes of his work throughout his whole career to date?
Cell biology, Stem cell, Progenitor cell, Condensed matter physics and Cellular differentiation are his primary areas of study.
His work carried out in the field of Cell biology brings together such families of science as Cell, Cell division, Cell growth and Adult stem cell.
Benjamin D. Simons has researched Adult stem cell in several fields, including Crypt and LGR5.
His Progenitor study, which is part of a larger body of work in Stem cell, is frequently linked to Niche, bridging the gap between disciplines.
His Progenitor cell study integrates concerns from other disciplines, such as Embryonic stem cell, Cell type, Epidermis and Embryogenesis.
In his research, Statistical physics is intimately related to Quantum mechanics, which falls under the overarching field of Condensed matter physics.
He most often published in these fields:
- Cell biology (85.45%)
- Stem cell (69.97%)
- Progenitor cell (43.65%)
What were the highlights of his more recent work (between 2018-2021)?
- Cell biology (85.45%)
- Stem cell (69.97%)
- Progenitor cell (43.65%)
In recent papers he was focusing on the following fields of study:
Benjamin D. Simons mainly focuses on Cell biology, Stem cell, Progenitor cell, Cell and Neuroscience.
His Cell biology research is multidisciplinary, incorporating perspectives in Cell division and Cellular differentiation.
His work deals with themes such as Morphogenesis and Pancreatic islets, which intersect with Cellular differentiation.
Benjamin D. Simons undertakes multidisciplinary studies into Stem cell and Niche in his work.
His Progenitor cell research incorporates elements of Embryonic stem cell, Thyroid hormone receptor, Single-cell analysis, Chromatin and Mechanotransduction.
His Neuroscience research incorporates themes from Progenitor, Self renewal, Active matter and Neural stem cell.
Between 2018 and 2021, his most popular works were:
- A single-cell molecular map of mouse gastrulation and early organogenesis. (238 citations)
- Competition for Mitogens Regulates Spermatogenic Stem Cell Homeostasis in an Open Niche (50 citations)
- Competition for Mitogens Regulates Spermatogenic Stem Cell Homeostasis in an Open Niche (50 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Gene
- Electron
His primary areas of study are Cell biology, Stem cell, Progenitor cell, Cell and LGR5.
His Cell biology study combines topics from a wide range of disciplines, such as Embryonic stem cell, Cellular differentiation and Transplantation.
His work often combines Stem cell and Lymphatic Endothelium studies.
The concepts of his Progenitor cell study are interwoven with issues in Cell division and Epidermis.
His Cell study incorporates themes from In vitro, Ductal cells, Pancreas, Organoid and Cryopreservation.
As a part of the same scientific family, Benjamin D. Simons mostly works in the field of LGR5, focusing on Adult stem cell and, on occasion, Progenitor, Cholangiocyte and Embryogenesis.
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.
