What is he best known for?
The fields of study he is best known for:
Genetics, Prostate cancer, Internal medicine, Genome-wide association study and Genotype are his primary areas of study.
His Prostate cancer research is multidisciplinary, incorporating perspectives in Cancer research, Prostate, Incidence and Bioinformatics.
His Internal medicine research is multidisciplinary, incorporating elements of Gastroenterology, Endocrinology, Oncology and Pathology.
The various areas that he examines in his Endocrinology study include Case-control study and Risk factor.
His Genome-wide association study research includes elements of Range, Computational biology, Disease and Genetic association.
His Cancer research is multidisciplinary, relying on both Odds ratio, Single-nucleotide polymorphism, Gerontology and AFRICAN CARIBBEAN.
His most cited work include:
- Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs (1570 citations)
- The Molecular Taxonomy of Primary Prostate Cancer (1426 citations)
- Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways (518 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Internal medicine, Prostate cancer, Genetics, Genome-wide association study and Oncology.
Many of his studies on Internal medicine involve topics that are commonly interrelated, such as Endocrinology.
John S. Witte works mostly in the field of Prostate cancer, limiting it down to topics relating to Genotype and, in certain cases, Immunology.
In Genome-wide association study, John S. Witte works on issues like Genetic association, which are connected to Genetic variation and Bioinformatics.
His Oncology research is multidisciplinary, incorporating perspectives in Prostatectomy, Gynecology, Prostate-specific antigen, Breast cancer and Family history.
His Odds ratio research incorporates elements of Gastroenterology and Confidence interval.
He most often published in these fields:
- Internal medicine (34.92%)
- Prostate cancer (33.33%)
- Genetics (30.42%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (34.92%)
- Prostate cancer (33.33%)
- Cancer (16.14%)
In recent papers he was focusing on the following fields of study:
John S. Witte spends much of his time researching Internal medicine, Prostate cancer, Cancer, Oncology and Genome-wide association study.
His research investigates the link between Prostate cancer and topics such as Cancer research that cross with problems in Somatic cell.
His research integrates issues of Biobank, Genetic predisposition, Demography, Inverse Association and Family history in his study of Cancer.
His Oncology research includes themes of Biomarker, Pharmacogenetics, Breast cancer and Allele.
His Allele study combines topics from a wide range of disciplines, such as Virus, Genetic variation and Antigen.
Genome-wide association study is the topic of his studies on Genetics and Single-nucleotide polymorphism.
Between 2017 and 2021, his most popular works were:
- Quantitative Spatial Profiling of PD-1/PD-L1 Interaction and HLA-DR/IDO-1 Predicts Improved Outcomes of anti-PD-1 Therapies in Metastatic Melanoma (48 citations)
- An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations. (25 citations)
- The landscape of host genetic factors involved in infection to common viruses and SARS-CoV-2. (21 citations)
In his most recent research, the most cited papers focused on:
John S. Witte mainly investigates Genome-wide association study, Genetic association, Internal medicine, Oncology and Genetics.
John S. Witte combines subjects such as Immunology, Allergy, Disease, Locus and Prostate cancer with his study of Genome-wide association study.
The study incorporates disciplines such as Imputation, MSMB and Transcriptome in addition to Prostate cancer.
John S. Witte has researched Genetic association in several fields, including Allele and Genetic admixture.
His Internal medicine study frequently links to adjacent areas such as Lung cancer susceptibility.
His studies deal with areas such as Biopsy, Epidemiology of cancer and Lung as well as Oncology.
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.
