What is he best known for?
The fields of study he is best known for:
Lu Lu mainly investigates Genetics, Quantitative trait locus, Gene, Phenotype and Inbred strain.
In his study, Anatomy & histology is inextricably linked to Hippocampal formation, which falls within the broad field of Genetics.
His Quantitative trait locus research includes elements of Genetic variation, Genome, Genomics, Computational biology and Candidate gene.
He is interested in Gene mapping, which is a field of Gene.
His Inbred strain study integrates concerns from other disciplines, such as Cerebellum, Mouse Cerebellum, Transcriptome and Haplotype.
His Genome-wide association study research incorporates themes from Striatum, Caudate nucleus, Putamen, Human brain and Basal ganglia.
His most cited work include:
- The Collaborative Cross, a community resource for the genetic analysis of complex traits (852 citations)
- Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function (645 citations)
- Common genetic variants influence human subcortical brain structures. (610 citations)
What are the main themes of his work throughout his whole career to date?
Lu Lu mostly deals with Genetics, Quantitative trait locus, Gene, Candidate gene and Phenotype.
His Inbred strain, Locus, Gene expression, Expression quantitative trait loci and Genetic variation investigations are all subjects of Genetics research.
His research integrates issues of Genotype, Haplotype, Internal medicine and Strain in his study of Inbred strain.
The Genetic variation study combines topics in areas such as Genetic variability and Hippocampus.
His Quantitative trait locus research incorporates elements of Gene expression profiling, Genomics, Allele, Gene mapping and Single-nucleotide polymorphism.
His Candidate gene research includes themes of Hippocampal formation, Genetic linkage, Genome-wide association study and Heritability.
He most often published in these fields:
- Genetics (84.04%)
- Quantitative trait locus (56.03%)
- Gene (48.23%)
What were the highlights of his more recent work (between 2017-2021)?
- Gene (48.23%)
- Genetics (84.04%)
- Candidate gene (26.95%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Gene, Genetics, Candidate gene, Locus and Quantitative trait locus.
His studies link Lens with Genetics.
Lu Lu usually deals with Candidate gene and limits it to topics linked to Epigenetics and Genome-wide association study, Epistasis and Model organism.
His work carried out in the field of Locus brings together such families of science as Genome evolution, Genome, Domestication, Allele and Oryza sativa.
His Quantitative trait locus study integrates concerns from other disciplines, such as Precision medicine, Neurotoxicity, CXCL1, Disease and Heritability.
His studies deal with areas such as Alcohol, Germline, Genotype, Inbred strain and Physiology as well as Genetic variation.
Between 2017 and 2021, his most popular works were:
- In Inflamed Intestinal Tissues and Epithelial Cells, Interleukin 22 Signaling Increases Expression of H19 Long Noncoding RNA, Which Promotes Mucosal Regeneration (58 citations)
- Identification of a Functional Non-coding Variant in the GABA A Receptor α2 Subunit of the C57BL/6J Mouse Reference Genome: Major Implications for Neuroscience Research. (30 citations)
- The expanded BXD family of mice: A cohort for experimental systems genetics and precision medicine (28 citations)
In his most recent research, the most cited papers focused on:
Genetic variation, Transcriptome, Computational biology, Quantitative trait locus and Gene are his primary areas of study.
His biological study spans a wide range of topics, including Alcohol and Physiology.
The study incorporates disciplines such as Inflammation, Internal medicine, Cytokine and Endocrinology in addition to Transcriptome.
He combines subjects such as Dna variants, Precision medicine, Genome, Genotype and Mendelian inheritance with his study of Computational biology.
His Quantitative trait locus study incorporates themes from Kin recognition, Autism spectrum disorder, Reproductive success, Inbred strain and Candidate gene.
His Gene study contributes to a more complete understanding of Genetics.
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.
