What is he best known for?
The fields of study he is best known for:
- Cancer
- Gene
- Internal medicine
Stephen M. Hewitt spends much of his time researching Cancer research, Pathology, Cancer, Internal medicine and Tissue microarray.
His Cancer research research incorporates elements of Protein kinase B, PI3K/AKT/mTOR pathway, Metastasis and Bioinformatics.
Stephen M. Hewitt combines subjects such as Concordance, Medical physics, MEDLINE and Adenocarcinoma with his study of Pathology.
His Cancer study integrates concerns from other disciplines, such as Odds ratio and Risk factor.
His Internal medicine research integrates issues from Gastroenterology and Oncology.
His Tissue microarray study combines topics from a wide range of disciplines, such as Image resolution, Fourier transform infrared spectroscopy, Staining, Infrared and Lung cancer.
His most cited work include:
- Vitamin C Pharmacokinetics: Implications for Oral and Intravenous Use (632 citations)
- The membrane-cytoskeleton linker ezrin is necessary for osteosarcoma metastasis. (588 citations)
- Targeting Tumor-Infiltrating Macrophages Decreases Tumor-Initiating Cells, Relieves Immunosuppression, and Improves Chemotherapeutic Responses (540 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Cancer research, Pathology, Internal medicine, Cancer and Immunohistochemistry.
Stephen M. Hewitt has researched Cancer research in several fields, including Protein kinase B, Carcinogenesis, Immunology, Metastasis and PI3K/AKT/mTOR pathway.
Stephen M. Hewitt studies Tissue microarray which is a part of Pathology.
The study incorporates disciplines such as Proteomics, Computational biology and Bioinformatics in addition to Tissue microarray.
His work is dedicated to discovering how Internal medicine, Oncology are connected with Proportional hazards model and other disciplines.
His Cancer research includes elements of Biomarker and Carcinoma.
He most often published in these fields:
- Cancer research (30.53%)
- Pathology (27.10%)
- Internal medicine (23.47%)
What were the highlights of his more recent work (between 2017-2021)?
- Cancer research (30.53%)
- Internal medicine (23.47%)
- Cancer (22.52%)
In recent papers he was focusing on the following fields of study:
His main research concerns Cancer research, Internal medicine, Cancer, Oncology and Breast cancer.
His specific area of interest is Cancer research, where Stephen M. Hewitt studies Tumor microenvironment.
His Immunohistochemistry, Colorectal cancer and Membranous nephropathy study in the realm of Internal medicine connects with subjects such as Nephropathy.
His biological study focuses on Tissue microarray.
His Oncology study also includes fields such as
- Predictive biomarker, which have a strong connection to Stromal tumor,
- MEDLINE and Biomarker most often made with reference to Clinical trial.
The concepts of his Breast cancer study are interwoven with issues in Odds ratio, Transcription factor, Case-control study and Cell growth.
Between 2017 and 2021, his most popular works were:
- A multiprotein supercomplex controlling oncogenic signalling in lymphoma (117 citations)
- Tumor Cell Biodiversity Drives Microenvironmental Reprogramming in Liver Cancer (94 citations)
- Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning (60 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
Cancer research, Internal medicine, Immune system, Oncology and Digital pathology are his primary areas of study.
His Cancer research research includes themes of Cancer, Transcriptome, Lung cancer and Reprogramming.
In the field of Internal medicine, his study on Membranous nephropathy, Minimal change disease, Focal segmental glomerulosclerosis and Blockade overlaps with subjects such as Nephropathy.
His research integrates issues of Glomerulopathy, Urology, Prospective cohort study, Pathology and Nephrotic syndrome in his study of Minimal change disease.
His work on Immunotherapy as part of general Immune system study is frequently linked to Viral entry, therefore connecting diverse disciplines of science.
His research investigates the connection with Oncology and areas like Breast cancer which intersect with concerns in Predictive biomarker, Cancer immunology and Nivolumab.
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