What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Genetics, Genome-wide association study, Single-nucleotide polymorphism, Alzheimer's disease and Apolipoprotein E.
His Genetics research incorporates themes from Disease and Late onset.
His Genome-wide association study research integrates issues from Neurodegeneration, Linkage disequilibrium and Allele frequency.
His work in Single-nucleotide polymorphism addresses subjects such as Neuropathology, which are connected to disciplines such as Corticobasal degeneration, Tauopathy, Degenerative disease and Progressive supranuclear palsy.
His Alzheimer's disease study combines topics from a wide range of disciplines, such as Biological pathway, Gene expression, Case-control study and Genomics.
His study on Apolipoprotein E also encompasses disciplines like
- Age of onset together with Genetic association,
- Odds ratio, which have a strong connection to Risk factor.
His most cited work include:
- Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease (2614 citations)
- Synaptic, transcriptional and chromatin genes disrupted in autism (1544 citations)
- Patterns and rates of exonic de novo mutations in autism spectrum disorders (1389 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Genetics, Disease, Computational biology, Genome-wide association study and Gene.
His Genetics study integrates concerns from other disciplines, such as Alzheimer's disease and Apolipoprotein E.
The study incorporates disciplines such as Whole genome sequencing and Bioinformatics in addition to Disease.
Li-San Wang combines subjects such as ENCODE, Genomics, Expression quantitative trait loci, Genetic variants and Small RNA with his study of Computational biology.
His research integrates issues of SNP, Linkage disequilibrium, Genetic association and Functional genomics in his study of Genome-wide association study.
He interconnects Phylogenetics, Neighbor joining and Phylogenetic tree in the investigation of issues within Genome.
He most often published in these fields:
- Genetics (42.62%)
- Disease (35.02%)
- Computational biology (21.10%)
What were the highlights of his more recent work (between 2018-2021)?
- Disease (35.02%)
- Computational biology (21.10%)
- Genetics (42.62%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Disease, Computational biology, Genetics, Genomics and Genome.
The Disease study combines topics in areas such as Cognition and Whole genome sequencing.
His Computational biology research is multidisciplinary, incorporating perspectives in Genome-wide association study, Functional genomics, Expression quantitative trait loci and Epigenetics, Gene.
Li-San Wang focuses mostly in the field of Genome-wide association study, narrowing it down to topics relating to Locus and, in certain cases, Linkage disequilibrium.
The various areas that he examines in his Genetics study include Stroke and Pleiotropy.
His Genome research includes themes of Exome sequencing, Promoter and Chromosome.
Between 2018 and 2021, his most popular works were:
- Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation (93 citations)
- Exceptionally low likelihood of Alzheimer’s dementia in APOE2 homozygotes from a 5,000-person neuropathological study (59 citations)
- DASHR 2.0: integrated database of human small non-coding RNA genes and mature products. (29 citations)
In his most recent research, the most cited papers focused on:
Disease, Gene, Computational biology, Genome-wide association study and Dementia are his primary areas of study.
His studies deal with areas such as Genotype, Cognition, Allele and Mendelian inheritance as well as Disease.
His Computational biology study incorporates themes from Histone H3, Epigenetics, Transcription, Transcriptome and Epigenome.
Genome-wide association study is a subfield of Genetics that Li-San Wang explores.
His Genetics study frequently links to adjacent areas such as Effects of sleep deprivation on cognitive performance.
Li-San Wang has researched SORL1 in several fields, including Immunoglobulin gene, Genome, Genotyping, Alzheimer's disease and Haplotype.
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