What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
His primary scientific interests are in Anatomy, Bone healing, Cell biology, Cartilage and Sonic hedgehog.
The study incorporates disciplines such as Frontonasal prominence and Craniofacial in addition to Anatomy.
His biological study spans a wide range of topics, including Juvenile, Pathology, Endochondral ossification, Femoral artery and Bone remodeling.
Ralph S. Marcucio does research in Cell biology, focusing on Chondrogenesis specifically.
His Cartilage research includes themes of Tibia Fracture, Endocrinology and Internal medicine.
Ralph S. Marcucio combines subjects such as Hedgehog signaling pathway, Ectoderm and Neural crest with his study of Sonic hedgehog.
His most cited work include:
- The Collaborative Cross, a community resource for the genetic analysis of complex traits (852 citations)
- Deciphering the Palimpsest: Studying the Relationship Between Morphological Integration and Phenotypic Covariation (282 citations)
- Patterns of infantile hemangiomas: new clues to hemangioma pathogenesis and embryonic facial development. (221 citations)
What are the main themes of his work throughout his whole career to date?
Bone healing, Cell biology, Anatomy, Cartilage and Endochondral ossification are his primary areas of study.
His study in Bone healing is interdisciplinary in nature, drawing from both Bone regeneration, Angiogenesis and Intramembranous ossification, Pathology.
His studies in Cell biology integrate themes in fields like Morphogenesis and Ectoderm.
His research in Anatomy tackles topics such as Craniofacial which are related to areas like Evolutionary biology and Embryonic stem cell.
Ralph S. Marcucio studied Cartilage and Tissue engineering that intersect with Regeneration.
The various areas that he examines in his Endochondral ossification study include Chondrocyte, Bone cell and Transdifferentiation.
He most often published in these fields:
- Bone healing (35.98%)
- Cell biology (29.27%)
- Anatomy (19.51%)
What were the highlights of his more recent work (between 2018-2021)?
- Bone healing (35.98%)
- Cell biology (29.27%)
- Inflammation (6.71%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Bone healing, Cell biology, Inflammation, Evolutionary biology and Cartilage.
His research on Bone healing concerns the broader Anatomy.
His study in the field of Wnt signaling pathway and Neural crest also crosses realms of Chemistry.
His Neural crest study combines topics in areas such as Progenitor cell, Mesenchymal stem cell, Loss function and Cell type.
His work on Proinflammatory cytokine as part of general Inflammation research is often related to Macrophage, thus linking different fields of science.
His Cartilage study incorporates themes from Nuclear localization sequence, Beta and Stem cell.
Between 2018 and 2021, his most popular works were:
- Cellular biology of fracture healing (74 citations)
- The developmental-genetics of canalization (31 citations)
- Integration and the Developmental Genetics of Allometry. (16 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Genetics
- Internal medicine
Ralph S. Marcucio mostly deals with Bone healing, Inflammation, Developmental genetics, Evolutionary biology and Neuroscience.
Ralph S. Marcucio has researched Bone healing in several fields, including Age related and Pathology.
His research in Inflammation intersects with topics in Hippocampal formation, Transcriptome and Cartilage.
Many of his research projects under Evolutionary biology are closely connected to Missing heritability problem with Missing heritability problem, tying the diverse disciplines of science together.
His Neuroscience research is multidisciplinary, relying on both Pathophysiology and Polytrauma.
Among his Bone fracture studies, you can observe a synthesis of other disciplines of science such as Pathological, Neuroanatomy, Bone marrow, Chronic stress and Endochondral ossification.
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.
