What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Computational biology.
Ingo Ruczinski performs multidisciplinary study in the fields of Genetics and IRF6 via his papers.
The Genome-wide association study study combines topics in areas such as Bioinformatics, Internal medicine, Asthma, Allele and Locus.
His Genetic association research includes themes of Confidence interval, SNP array, Markov chain, Monte Carlo method and Genetic architecture.
His studies deal with areas such as TFAP2A, Genetic predisposition and PTCH1 as well as Single-nucleotide polymorphism.
The various areas that he examines in his Computational biology study include Markov chain Monte Carlo, Bayesian inference, Sequence, Protein structure and De novo protein structure prediction.
His most cited work include:
- Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations (618 citations)
- Random-coil behavior and the dimensions of chemically unfolded proteins (545 citations)
- Sensitive detection of chromosomal segments of distinct ancestry in admixed populations. (467 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genetics, Single-nucleotide polymorphism, Genome-wide association study, Internal medicine and Genetic association.
His study in Gene, Genotype, Genome, Candidate gene and Haplotype falls under the purview of Genetics.
Copy-number variation is closely connected to Computational biology in his research, which is encompassed under the umbrella topic of Genome.
His Single-nucleotide polymorphism research includes themes of Immunology and Allele.
His Genome-wide association study study combines topics from a wide range of disciplines, such as Asthma and Locus.
Ingo Ruczinski has included themes like Endocrinology, Oncology and Bioinformatics in his Internal medicine study.
He most often published in these fields:
- Genetics (44.53%)
- Single-nucleotide polymorphism (28.52%)
- Genome-wide association study (22.66%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (44.53%)
- Internal medicine (15.23%)
- Computational biology (12.11%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Genetics, Internal medicine, Computational biology, Genome-wide association study and Gene.
His Genetics study combines topics in areas such as Genetic genealogy and Insulin resistance.
His biological study spans a wide range of topics, including Fatty acid desaturase, Endocrinology and Pharmacogenomics.
His research integrates issues of Genome, Copy-number variation, Disease, Bioconductor and Linkage in his study of Computational biology.
His study with Genome-wide association study involves better knowledge in Single-nucleotide polymorphism.
His study in Genetic association is interdisciplinary in nature, drawing from both Asthma, Locus and Genetic variation.
Between 2018 and 2021, his most popular works were:
- Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program (143 citations)
- Assembly of a pan-genome from deep sequencing of 910 humans of African descent (141 citations)
- Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. (47 citations)
In his most recent research, the most cited papers focused on:
Ingo Ruczinski spends much of his time researching Locus, Disease, Internal medicine, Genome and Reference genome.
Ingo Ruczinski has researched Locus in several fields, including Meta-analysis, Asthma, Peanut allergy and Platelet aggregation.
His Internal medicine research is multidisciplinary, incorporating perspectives in Fatty acid desaturase, Polyunsaturated fatty acid and Linolenic acid, Linoleic acid.
The concepts of his Genome study are interwoven with issues in Computational biology and Genetic architecture.
The Genetic architecture study combines topics in areas such as Imputation, Genetic variation, Human genetics and Genetic association.
His Reference genome study integrates concerns from other disciplines, such as Evolutionary biology, Sequence analysis and Deep sequencing.
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