What is he best known for?
The fields of study he is best known for:
Evolutionary biology, Genetics, Gene, Evolvability and Phenotype are his primary areas of study.
His Evolutionary biology research incorporates elements of Evolutionary capacitance, Robustness, Human evolutionary genetics, Evolutionary dynamics and Genetic architecture.
His work carried out in the field of Evolutionary capacitance brings together such families of science as Evolutionary algorithm, Evolutionary programming, Genetic model and Genetic assimilation.
His study looks at the relationship between Human evolutionary genetics and topics such as Cellular differentiation, which overlap with Gene regulatory network, Phylogenetics and Epistasis.
The various areas that Günter P. Wagner examines in his Gene study include Signal transduction and Computational biology.
His research in Evolvability intersects with topics in Genetic Pleiotropy, Fitness landscape and Primate.
His most cited work include:
- PERSPECTIVE: COMPLEX ADAPTATIONS AND THE EVOLUTION OF EVOLVABILITY (1231 citations)
- Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples. (912 citations)
- The road to modularity (694 citations)
What are the main themes of his work throughout his whole career to date?
Günter P. Wagner spends much of his time researching Evolutionary biology, Genetics, Gene, Cell biology and Evolvability.
In his study, Zoology is strongly linked to Phylogenetics, which falls under the umbrella field of Evolutionary biology.
Hox gene, Transcription factor, Molecular evolution, Epistasis and Phenotype are the subjects of his Genetics studies.
His Hox gene study integrates concerns from other disciplines, such as Gene duplication and Vertebrate.
As part of one scientific family, Günter P. Wagner deals mainly with the area of Cell biology, narrowing it down to issues related to the Cell type, and often Transcriptome.
Evolvability and Evolutionary capacitance are commonly linked in his work.
He most often published in these fields:
- Evolutionary biology (32.79%)
- Genetics (27.64%)
- Gene (12.74%)
What were the highlights of his more recent work (between 2016-2021)?
- Cell biology (9.49%)
- Stromal cell (5.96%)
- Cell type (5.96%)
In recent papers he was focusing on the following fields of study:
His main research concerns Cell biology, Stromal cell, Cell type, Placentation and Evolutionary biology.
The concepts of his Cell biology study are interwoven with issues in Marsupial, Opossum and Decidual cells.
He interconnects Phenotype, Transcription factor and Fight-or-flight response in the investigation of issues within Stromal cell.
His work deals with themes such as Cellular stress response and Bioinformatics, which intersect with Cell type.
His study looks at the intersection of Evolutionary biology and topics like Homology with Crown group, Tetrapod and Amniote.
His Function study results in a more complete grasp of Genetics.
Between 2016 and 2021, his most popular works were:
- Genetic Associations with Gestational Duration and Spontaneous Preterm Birth (163 citations)
- Genetic Associations with Gestational Duration and Spontaneous Preterm Birth (163 citations)
- Single-cell transcriptomics of the human placenta: inferring the cell communication network of the maternal-fetal interface. (132 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Cell biology, Pregnancy, Embryo, Placentation and Stromal cell.
The study incorporates disciplines such as Placenta, Gene expression and Cell type in addition to Cell biology.
His Embryo research integrates issues from Cellular differentiation, Plasticity, Inflammation, Phenotype and Marsupial.
He focuses mostly in the field of Placentation, narrowing it down to topics relating to Immunology and, in certain cases, Pregnancy immunology.
His research in Stromal cell focuses on subjects like Decidual cells, which are connected to Transcription factor and Decidualization.
Homology, Evolutionary biology and Gene are fields of study that intersect with his Hierarchical clustering study.
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