What is he best known for?
The fields of study he is best known for:
Joel E. Richardson mainly investigates Genome, Genetics, Gene, Genomics and Laboratory mouse.
Many of his studies involve connections with topics such as Computational biology and Genome.
His studies deal with areas such as Disease Ontology and Blast2GO as well as Computational biology.
His research integrates issues of Ontology, Ontology-based data integration and Open Biomedical Ontologies in his study of Genetics.
His research in Open Biomedical Ontologies intersects with topics in Critical Assessment of Function Annotation, Sequence Ontology, Human Phenotype Ontology and Ontology for Biomedical Investigations.
His Genomics research includes themes of Quantitative trait locus and Biological data.
His most cited work include:
- Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. (26033 citations)
- Creating the gene ontology resource: design and implementation. (811 citations)
- The Mouse Genome Database (MGD): mouse biology and model systems (373 citations)
What are the main themes of his work throughout his whole career to date?
Joel E. Richardson focuses on Computational biology, Genome, Genetics, Mouse Genome Informatics and Gene.
In his works, Joel E. Richardson performs multidisciplinary study on Computational biology and Resource.
His work deals with themes such as Genetic marker, Homology and Laboratory mouse, which intersect with Genome.
As part of his studies on Genetics, Joel E. Richardson often connects relevant areas like Ontology.
The study incorporates disciplines such as Annotation, Translational bioinformatics, Gene expression and Data science in addition to Mouse Genome Informatics.
His study looks at the relationship between Gene and topics such as Database, which overlap with Strain, Genetically Engineered Mouse and Human cancer.
He most often published in these fields:
- Computational biology (52.04%)
- Genome (47.96%)
- Genetics (46.94%)
What were the highlights of his more recent work (between 2017-2021)?
- Computational biology (52.04%)
- Genome (47.96%)
- Gene (41.84%)
In recent papers he was focusing on the following fields of study:
Joel E. Richardson mostly deals with Computational biology, Genome, Gene, Phenotype and Human cancer.
His study deals with a combination of Computational biology and Chemistry.
His research investigates the connection between Genome and topics such as Northern blot that intersect with issues in Mutant, RNA-Seq and Expression data.
His work is dedicated to discovering how Human cancer, Mouse tumor are connected with Database, Strain, Cancer predisposition and Genetically Engineered Mouse and other disciplines.
Genetics covers Joel E. Richardson research in Mouse Genome Informatics.
He studies Genetics, focusing on Genomics in particular.
Between 2017 and 2021, his most popular works were:
- Mouse Genome Database (MGD) 2019. (234 citations)
- Mouse Genome Database (MGD)-2018: knowledgebase for the laboratory mouse. (182 citations)
- The mouse Gene Expression Database (GXD): 2019 update (49 citations)
In his most recent research, the most cited papers focused on:
Joel E. Richardson spends much of his time researching Genome, Computational biology, Gene, Phenotype and Laboratory mouse.
His Genome research incorporates elements of Gene expression, Northern blot, Data curation, Data science and Allele.
His Northern blot study combines topics in areas such as Mouse Genome Informatics and Mutant.
His Data curation research is multidisciplinary, incorporating perspectives in Human phenotype and Genomics.
His work carried out in the field of Data science brings together such families of science as Data access and Workflow.
Many of his studies on Laboratory mouse involve topics that are commonly interrelated, such as Mouse Genome Database.
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.
