What is he best known for?
The fields of study he is best known for:
- Cancer
- Gene
- Internal medicine
The scientist’s investigation covers issues in Prostate cancer, Cancer research, TMPRSS2, Transcriptional Regulator ERG and Cancer.
His Prostate cancer research is multidisciplinary, incorporating perspectives in Prostate and Pathology.
His Prostate research is multidisciplinary, relying on both DNA methylation, Gene knockdown and Bioinformatics.
He interconnects Gene rearrangement, Carcinogenesis, Fusion gene, Molecular biology and ETS transcription factor family in the investigation of issues within Cancer research.
His research in Fusion gene intersects with topics in Poly ADP ribose polymerase, PARP1, Poly Polymerase Inhibitor and Androgen receptor.
His Tumor progression study in the realm of Cancer connects with subjects such as Transmembrane Protease Serine 2.
His most cited work include:
- Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancer (3179 citations)
- Integrative clinical genomics of advanced prostate cancer (1675 citations)
- The mutational landscape of lethal castration-resistant prostate cancer (1586 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Prostate cancer, Internal medicine, Cancer research, Oncology and Pathology.
In the field of Prostate cancer, his study on PCA3 and Prostatectomy overlaps with subjects such as TMPRSS2.
His studies link Endocrinology with Internal medicine.
In general Endocrinology study, his work on Primary aldosteronism often relates to the realm of Aldosterone synthase, thereby connecting several areas of interest.
In his work, Bioinformatics is strongly intertwined with Gene expression profiling, which is a subfield of Cancer research.
His Fusion gene research integrates issues from Molecular biology and Androgen receptor.
He most often published in these fields:
- Prostate cancer (57.67%)
- Internal medicine (33.42%)
- Cancer research (33.42%)
What were the highlights of his more recent work (between 2018-2021)?
- Prostate cancer (57.67%)
- Internal medicine (33.42%)
- Oncology (27.48%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Prostate cancer, Internal medicine, Oncology, Cancer research and Pathology.
His Prostate cancer research is within the category of Cancer.
The Prostate research Scott A. Tomlins does as part of his general Cancer study is frequently linked to other disciplines of science, such as Chemistry, therefore creating a link between diverse domains of science.
His research integrates issues of Value and Endocrinology in his study of Internal medicine.
The Oncology study combines topics in areas such as Biomarker, Biopsy, Metastasis and Disease.
His biological study spans a wide range of topics, including RNA, Transcriptome, Regulation of gene expression, Tissue microarray and PTEN.
Between 2018 and 2021, his most popular works were:
- Managing Nonmetastatic Castration-resistant Prostate Cancer (53 citations)
- The DNA methylation landscape of advanced prostate cancer (26 citations)
- Prevalence of Somatic Mutations in Aldosterone-Producing Adenomas in Japanese Patients. (11 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Gene
- Internal medicine
Scott A. Tomlins spends much of his time researching Cancer research, Prostate cancer, Internal medicine, Oncology and Transcriptome.
The concepts of his Cancer research study are interwoven with issues in Cell, Phenotype, Regulation of gene expression, Tissue microarray and PTEN.
Prostate cancer is a subfield of Cancer that Scott A. Tomlins studies.
His research in the fields of Prostate overlaps with other disciplines such as CD38.
In his research, Dominance, Gastroenterology and Adenoma is intimately related to Endocrinology, which falls under the overarching field of Internal medicine.
His Oncology research is multidisciplinary, relying on both Clinical trial, Biopsy, Disease, Biomarker and Cancer biomarkers.
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