What is he best known for?
The fields of study he is best known for:
- Cancer
- Gene
- Internal medicine
His primary areas of study are Prostate cancer, Genetics, Internal medicine, Oncology and Single-nucleotide polymorphism.
His Prostate cancer study contributes to a more complete understanding of Cancer.
The Epidemiology of cancer research he does as part of his general Cancer study is frequently linked to other disciplines of science, such as TLR10, therefore creating a link between diverse domains of science.
His Internal medicine study combines topics from a wide range of disciplines, such as Genetic model, Endocrinology and Immunology.
His Oncology research includes elements of SNP, Confidence interval, Prostate-specific antigen, Colorectal cancer and Family history.
His Single-nucleotide polymorphism research is multidisciplinary, relying on both Odds ratio, Polymorphism, Allele frequency and Bioinformatics.
His most cited work include:
- Hundreds of variants clustered in genomic loci and biological pathways affect human height (1614 citations)
- Clonal Hematopoiesis and Blood-Cancer Risk Inferred from Blood DNA Sequence (1568 citations)
- Defining the role of common variation in the genomic and biological architecture of adult human height (1407 citations)
What are the main themes of his work throughout his whole career to date?
Henrik Grönberg spends much of his time researching Prostate cancer, Internal medicine, Oncology, Cancer and Genetics.
His research integrates issues of Prostate, Case-control study and Single-nucleotide polymorphism, Genotype in his study of Prostate cancer.
As part of the same scientific family, Henrik Grönberg usually focuses on Internal medicine, concentrating on Gynecology and intersecting with Family history.
Prostatectomy is closely connected to Pathology in his research, which is encompassed under the umbrella topic of Oncology.
Henrik Grönberg combines subjects such as Germline mutation, Cohort and Bioinformatics with his study of Cancer.
His Genome-wide association study study combines topics in areas such as Expression quantitative trait loci and Linkage disequilibrium.
He most often published in these fields:
- Prostate cancer (70.71%)
- Internal medicine (54.39%)
- Oncology (45.40%)
What were the highlights of his more recent work (between 2016-2021)?
- Prostate cancer (70.71%)
- Internal medicine (54.39%)
- Oncology (45.40%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Prostate cancer, Internal medicine, Oncology, Prostate and Cancer.
His research in Prostate cancer intersects with topics in Biopsy and Hazard ratio.
His study in the field of Proportional hazards model, Cohort, Prospective cohort study and Confidence interval also crosses realms of Risk assessment.
His research on Oncology also deals with topics like
-
Case-control study which is related to area like Gynecology and Genome-wide association study,
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Clinical trial which is related to area like Enzalutamide.
His study on Prostate also encompasses disciplines like
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Pathology together with Prostatectomy,
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Disease which connect with Odds ratio.
The study incorporates disciplines such as Germline mutation, Incidence and Bioinformatics in addition to Cancer.
Between 2016 and 2021, his most popular works were:
- Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci (268 citations)
- Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study. (100 citations)
- Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts (80 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Cancer
- Internal medicine
His primary scientific interests are in Prostate cancer, Internal medicine, Oncology, Prostate and Cancer.
His Prostate cancer study integrates concerns from other disciplines, such as Biopsy, Genome-wide association study and Disease.
His work on Proportional hazards model, Hazard ratio, Cohort and Cohort study is typically connected to Risk assessment as part of general Internal medicine study, connecting several disciplines of science.
His Oncology research is multidisciplinary, incorporating elements of Case-control study, Confidence interval, Myeloid leukemia, Genotype and Androgen receptor.
His Prostate research is multidisciplinary, incorporating perspectives in Mendelian randomization, Single-nucleotide polymorphism and Pathology.
His Cancer research includes themes of Germline mutation and Bioinformatics.
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