What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
His scientific interests lie mostly in Genetics, Genome-wide association study, Single-nucleotide polymorphism, Allele and Cancer.
Genetics is closely attributed to Odds ratio in his research.
His studies in Odds ratio integrate themes in fields like Lung cancer, Oncology and Case-control study.
As part of the same scientific family, Patrick Sulem usually focuses on Oncology, concentrating on Internal medicine and intersecting with Endocrinology.
His work carried out in the field of Genome-wide association study brings together such families of science as Immunology, Frameshift mutation, Menarche, Locus and Genetic variation.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating elements of Chromosome and Genome.
His most cited work include:
- Erratum: Genetic variation in the prostate stem cell antigen gene PSCA confers susceptibility to urinary bladder cancer (Nature Genetics (2009) 41 (991-995)) (1460 citations)
- Rate of de novo mutations and the importance of father’s age to disease risk (1409 citations)
- A variant associated with nicotine dependence, lung cancer and peripheral arterial disease. (1284 citations)
What are the main themes of his work throughout his whole career to date?
Patrick Sulem mostly deals with Genetics, Genome-wide association study, Internal medicine, Allele and Single-nucleotide polymorphism.
Patrick Sulem has researched Genome-wide association study in several fields, including Odds ratio, Missense mutation, Bioinformatics, Genetic association and Locus.
He combines subjects such as Lung cancer and Case-control study with his study of Odds ratio.
His Internal medicine research is multidisciplinary, relying on both Endocrinology, Type 2 diabetes, Oncology and Cardiology.
His biological study spans a wide range of topics, including Menarche, Immunology and Disease.
His research brings together the fields of Polymorphism and Single-nucleotide polymorphism.
He most often published in these fields:
- Genetics (53.19%)
- Genome-wide association study (42.98%)
- Internal medicine (27.23%)
What were the highlights of his more recent work (between 2017-2021)?
- Genome-wide association study (42.98%)
- Internal medicine (27.23%)
- Genetics (53.19%)
In recent papers he was focusing on the following fields of study:
Patrick Sulem spends much of his time researching Genome-wide association study, Internal medicine, Genetics, Missense mutation and Gene.
His study in Genome-wide association study is interdisciplinary in nature, drawing from both Cancer, Case-control study, Atrial fibrillation and Bioinformatics.
His Internal medicine research is multidisciplinary, incorporating perspectives in Endocrinology, Oncology and Cardiology.
His work in the fields of Allele and Y chromosome overlaps with other areas such as Offspring.
His studies deal with areas such as Phenotype and Confounding as well as Allele.
His Missense mutation research incorporates themes from Loss function, Gastroenterology, Bile acid, Asthma and Genetic association.
Between 2017 and 2021, his most popular works were:
- Spread of SARS-CoV-2 in the Icelandic Population. (768 citations)
- Humoral Immune Response to SARS-CoV-2 in Iceland. (361 citations)
- Biobank-driven genomic discovery yields new insight into atrial fibrillation biology (198 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
His primary areas of investigation include Genetics, Genome-wide association study, Internal medicine, Gene and Severe acute respiratory syndrome coronavirus 2.
His Genetics study incorporates themes from Disease and Genetic diversity.
In his study, T cell and Pathogenesis is inextricably linked to Missense mutation, which falls within the broad field of Genome-wide association study.
Within one scientific family, Patrick Sulem focuses on topics pertaining to Endocrinology under Internal medicine, and may sometimes address concerns connected to Coronary artery disease.
His work on Genetic marker and Candidate gene as part of his general Gene study is frequently connected to SGCG and PITX2, thereby bridging the divide between different branches of science.
His research integrates issues of Lipoprotein lipase, Homeostasis, Genotype, Allele frequency and Meta-analysis in his study of Odds ratio.
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