What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Cancer research, Ovarian cancer, Pathology, Molecular biology and Gene expression.
His Cancer research research incorporates elements of Carcinogenesis, Cancer, microRNA and Immunology.
His Ovarian cancer study is concerned with the larger field of Internal medicine.
His Pathology study combines topics from a wide range of disciplines, such as Ovarian tumor, Antibody and Ovary.
The study incorporates disciplines such as Stratified squamous epithelium, Genetics, Ovarian carcinoma, Vimentin and Differential display in addition to Molecular biology.
The various areas that Samuel C. Mok examines in his Gene expression study include Tumor suppressor gene, Endometrium, XIST and Chromatin.
His most cited work include:
- Dicer, Drosha, and outcomes in patients with ovarian cancer (585 citations)
- Disruption of the Fanconi anemia-BRCA pathway in cisplatin-sensitive ovarian tumors. (462 citations)
- Osteopontin as a Potential Diagnostic Biomarker for Ovarian Cancer (422 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Ovarian cancer, Cancer research, Cancer, Pathology and Internal medicine.
Specifically, his work in Ovarian cancer is concerned with the study of Ovarian carcinoma.
His research in Cancer research intersects with topics in Immunohistochemistry, Immunology, Cell growth, Ovarian tumor and Metastasis.
His Cancer study incorporates themes from Molecular biology, Immune system and Bioinformatics.
Samuel C. Mok combines subjects such as Adenocarcinoma, Loss of heterozygosity and Ovary with his study of Pathology.
His Internal medicine research includes themes of Endocrinology, Gene expression and Oncology.
He most often published in these fields:
- Ovarian cancer (55.72%)
- Cancer research (50.00%)
- Cancer (28.61%)
What were the highlights of his more recent work (between 2015-2021)?
- Cancer research (50.00%)
- Ovarian cancer (55.72%)
- Cancer (28.61%)
In recent papers he was focusing on the following fields of study:
Samuel C. Mok mostly deals with Cancer research, Ovarian cancer, Cancer, Tumor microenvironment and Stromal cell.
His research integrates issues of Cell growth, Immune system, Ovarian tumor, Gene silencing and MAPK/ERK pathway in his study of Cancer research.
His Immune system study combines topics in areas such as Cytotoxic T cell, Pathology and Mass cytometry.
His Ovarian cancer research is within the category of Internal medicine.
His studies in Cancer integrate themes in fields like Proteome, Proteomics, Serous fluid and Clinical trial.
His study in Stromal cell is interdisciplinary in nature, drawing from both Cancer cell, Stroma, Immunology and Carcinogenesis.
Between 2015 and 2021, his most popular works were:
- Exosomal transfer of stroma-derived miR21 confers paclitaxel resistance in ovarian cancer cells through targeting APAF1. (332 citations)
- CXCL12/CXCR4: a symbiotic bridge linking cancer cells and their stromal neighbors in oncogenic communication networks (204 citations)
- Cancer-associated fibroblasts regulate endothelial adhesion protein LPP to promote ovarian cancer chemoresistance (49 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Ovarian cancer, Cancer research, Cancer cell, Cancer and Tumor microenvironment.
Samuel C. Mok studies Ovarian cancer, namely Ovarian tumor.
His Cancer research research incorporates elements of Cell growth, Interferon, Paclitaxel, Gene silencing and MAPK/ERK pathway.
His Cell growth research integrates issues from Serous fluid, MMP1, Ovary, Carcinoma and Endometrial cancer.
His Cancer cell study also includes
- Stromal cell which connect with Stroma,
- Computational biology together with Gene regulatory network, Regulation of gene expression, Basal and Cell culture.
His work focuses on many connections between Cancer and other disciplines, such as Immune system, that overlap with his field of interest in Microsatellite instability and Cell type.
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