What is he best known for?
The fields of study he is best known for:
- Gene
- Cancer
- Internal medicine
Geoffrey J. Lindeman mainly focuses on Cancer research, Cancer stem cell, Cell biology, Stem cell and Breast cancer.
His Cancer research research is multidisciplinary, incorporating perspectives in Carcinogenesis, Cancer, SOCS2, Estrogen receptor and Cyclin.
He has included themes like Immunology and Cellular mechanism in his Cancer stem cell study.
His Stem cell study deals with Mammary gland intersecting with Morphogenesis.
His Breast cancer research is under the purview of Internal medicine.
His Progenitor cell research is multidisciplinary, relying on both Mammary gland morphogenesis, Myoepithelial cell, Transplantation and Pathology.
His most cited work include:
- Cancer stem cells in solid tumours: accumulating evidence and unresolved questions (2702 citations)
- Cancer stem cells in solid tumours: accumulating evidence and unresolved questions (2702 citations)
- Generation of a functional mammary gland from a single stem cell (1669 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Breast cancer, Cancer research, Internal medicine, Cell biology and Stem cell.
His Breast cancer study combines topics from a wide range of disciplines, such as Germline mutation, Ovarian cancer and Family history.
His studies in Cancer research integrate themes in fields like Carcinogenesis, Gene, Mutation, Immunology and Estrogen receptor.
The study incorporates disciplines such as Endocrinology, Gynecology, Oncology and PALB2 in addition to Internal medicine.
His study in Cell biology is interdisciplinary in nature, drawing from both Morphogenesis, Mammary Epithelium, Mammary gland and Adult stem cell.
His research in Stem cell intersects with topics in Cellular differentiation, Transplantation and Pathology.
He most often published in these fields:
- Breast cancer (67.15%)
- Cancer research (60.76%)
- Internal medicine (56.98%)
What were the highlights of his more recent work (between 2016-2021)?
- Breast cancer (67.15%)
- Internal medicine (56.98%)
- Oncology (40.41%)
In recent papers he was focusing on the following fields of study:
His main research concerns Breast cancer, Internal medicine, Oncology, Cancer research and Cancer.
His biological study spans a wide range of topics, including Family medicine, Ovarian cancer, Disease and Docetaxel.
His research integrates issues of Carcinogenesis, Mutation, Estrogen receptor, Programmed cell death and In vivo in his study of Cancer research.
The Carcinogenesis study combines topics in areas such as Progenitor cell, Transplantation, CRISPR and PTEN.
His Progenitor cell research is covered under the topics of Stem cell and Cell biology.
His Cancer research incorporates themes from Germline mutation and Incidence.
Between 2016 and 2021, his most popular works were:
- Combined immune checkpoint blockade as a therapeutic strategy for BRCA1-mutated breast cancer. (135 citations)
- Combined immune checkpoint blockade as a therapeutic strategy for BRCA1-mutated breast cancer. (135 citations)
- Combined immune checkpoint blockade as a therapeutic strategy for BRCA1-mutated breast cancer. (135 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
Geoffrey J. Lindeman mostly deals with Cell biology, Stem cell, Transcriptome, Mammary Epithelium and Embryonic stem cell.
His study in Stem cell focuses on Progenitor cell in particular.
Particularly relevant to Progenitor is his body of work in Progenitor cell.
As a part of the same scientific family, he mostly works in the field of Transcriptome, focusing on Gene expression profiling and, on occasion, Lineage, Molecular biology, Epithelial–mesenchymal transition and Cell Plasticity.
His study looks at the relationship between Embryonic stem cell and fields such as Epithelium, as well as how they intersect with chemical problems.
His Carcinogenesis research is multidisciplinary, incorporating perspectives in Breast cancer and Cancer research.
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.
