What is he best known for?
The fields of study he is best known for:
- Gene
- Enzyme
- Cell membrane
The scientist’s investigation covers issues in Cell biology, Endoplasmic reticulum, Reticulon, Membrane protein and Membrane contact site.
His Cell biology study combines topics from a wide range of disciplines, such as Biochemistry and Sterol.
William A. Prinz has included themes like ERMES and Translocase of the outer membrane in his Endoplasmic reticulum study.
His work in Reticulon addresses subjects such as Saccharomyces cerevisiae, which are connected to disciplines such as GTPase and Membrane topology.
His research integrates issues of Sterol transport and Yeast in his study of Membrane protein.
His work deals with themes such as TIM/TOM complex, Mitochondrial membrane transport protein, ER membrane protein complex, Signal transduction and Organelle, which intersect with Membrane contact site.
His most cited work include:
- A Class of Membrane Proteins Shaping the Tubular Endoplasmic Reticulum (845 citations)
- A class of dynamin-like GTPases involved in the generation of the tubular ER network. (401 citations)
- Mutations that allow disulfide bond formation in the cytoplasm of Escherichia coli (383 citations)
What are the main themes of his work throughout his whole career to date?
William A. Prinz focuses on Cell biology, Endoplasmic reticulum, Biochemistry, Organelle and Membrane.
His studies deal with areas such as Biogenesis, Membrane contact site and Membrane protein as well as Cell biology.
The study incorporates disciplines such as GTPase, Phosphatidylethanolamine and Cell membrane in addition to Endoplasmic reticulum.
The Organelle study combines topics in areas such as Lipid metabolism and Signal transduction.
His Membrane research includes themes of Biophysics and Intracellular.
His Reticulon study incorporates themes from Integral membrane protein, Saccharomyces cerevisiae and Organelle biogenesis.
He most often published in these fields:
- Cell biology (76.92%)
- Endoplasmic reticulum (55.13%)
- Biochemistry (32.05%)
What were the highlights of his more recent work (between 2017-2021)?
- Cell biology (76.92%)
- Lipid droplet (20.51%)
- Biogenesis (20.51%)
In recent papers he was focusing on the following fields of study:
William A. Prinz spends much of his time researching Cell biology, Lipid droplet, Biogenesis, Endoplasmic reticulum and Organelle.
In general Cell biology, his work in Mitochondrion is often linked to Abnormal mitochondrial morphology linking many areas of study.
His Endoplasmic reticulum research is mostly focused on the topic Reticulon.
The concepts of his Reticulon study are interwoven with issues in Protein domain, Transmembrane domain and Organelle biogenesis.
His research in Organelle intersects with topics in Biophysics, Membrane and Yeast.
His Membrane research is multidisciplinary, relying on both Lipid Transport and Signal transduction, Calcium signaling.
Between 2017 and 2021, his most popular works were:
- The functional universe of membrane contact sites. (77 citations)
- Lipid droplet and peroxisome biogenesis occur at the same ER subdomains. (72 citations)
- Architecture of Lipid Droplets in Endoplasmic Reticulum Is Determined by Phospholipid Intrinsic Curvature (72 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Enzyme
- Cell membrane
Cell biology, Biogenesis, Endoplasmic reticulum, Lipid droplet and Mitochondrion are his primary areas of study.
His Cell biology study frequently links to related topics such as Organelle biogenesis.
The various areas that he examines in his Organelle biogenesis study include Reticulon, Protein domain and C2 domain.
His Mitochondrion research incorporates elements of Phenotype and Transgene.
His study in Signalling is interdisciplinary in nature, drawing from both Signal transduction, Calcium signaling, Membrane, Lipid metabolism and Organelle.
The concepts of his Cytoplasm study are interwoven with issues in Membrane curvature, Phospholipid and Phosphatidylethanolamine.
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.
