What is she best known for?
The fields of study she is best known for:
Her primary areas of investigation include Cell biology, RNA interference, Endosome, Gene silencing and Genome.
Her research integrates issues of Endocytosis, Centrosome and Cytokinesis in her study of Cell biology.
Her research in Endocytosis focuses on subjects like Cell signaling, which are connected to Clathrin, Caveolae and Receptor-mediated endocytosis.
Her Endosome research includes themes of Protein kinase B, Signal transduction, Extracellular, Growth factor and Effector.
Her research in Gene silencing tackles topics such as Small interfering RNA which are related to areas like RNA silencing, In silico and Microarray analysis techniques.
Her Genome study integrates concerns from other disciplines, such as CTCF, Transcription factor, DNA, DNA sequencing and Computational biology.
Her most cited work include:
- Genome-wide analysis of human kinases in clathrin- and caveolae/raft-mediated endocytosis. (553 citations)
- Dynamin and the Actin Cytoskeleton Cooperatively Regulate Plasma Membrane Invagination by BAR and F-BAR Proteins (499 citations)
- APPL Proteins Link Rab5 to Nuclear Signal Transduction via an Endosomal Compartment (472 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Cell biology, Genetics, Gene, Computational biology and Genome.
Her Cell biology research incorporates themes from RNA, Transcription and Myofibril.
Her research combines Mitochondrion and Gene.
The Computational biology study combines topics in areas such as Proteome, Bioinformatics, Sequence database, Chromatin and Sequence.
Her Bioinformatics study also includes fields such as
- Transcriptome most often made with reference to Kidney disease,
- Gene expression profiling that intertwine with fields like Regulation of gene expression.
She studied RNA interference and Small interfering RNA that intersect with RNA silencing.
She most often published in these fields:
- Cell biology (45.96%)
- Genetics (27.33%)
- Gene (20.50%)
What were the highlights of her more recent work (between 2018-2021)?
- Cell biology (45.96%)
- Gene (20.50%)
- Gene expression (8.70%)
In recent papers she was focusing on the following fields of study:
Cell biology, Gene, Gene expression, Transcriptome and Mitochondrion are her primary areas of study.
She integrates Cell biology with Protein sumoylation in her study.
Much of her study explores Gene relationship to Computational biology.
Her Gene expression research includes elements of Hippo signaling pathway, Regulation of gene expression, ENCODE and Myofibril assembly.
Her Transcriptome research integrates issues from Proteome, Data mining, Mutation, Mitochondrial ribosome and Interactome.
In the field of Mitochondrion, her study on Inner mitochondrial membrane overlaps with subjects such as Cardiolipin.
Between 2018 and 2021, her most popular works were:
- Compromised Mitochondrial Protein Import Acts as a Signal for UPRmt. (40 citations)
- Mitochondrial fusion is required for regulation of mitochondrial DNA replication. (33 citations)
- mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dynamics and mutations (12 citations)
In her most recent research, the most cited papers focused on:
Her primary areas of study are Mitochondrion, Cardiolipin, Gene, Genetics and Plasmid.
Her study on Mitochondrion is covered under Cell biology.
Bianca Habermann is involved in the study of Cell biology that focuses on Heart metabolism in particular.
Her research in Gene intersects with topics in Cancer cell and Receptor tyrosine kinase.
Her work on Whole genome sequencing as part of general Genetics study is frequently connected to Strain, Halobacterium salinarum, Population Heterogeneity and Type, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
She interconnects Sequence identity, Chromosome and DNA sequencing in the investigation of issues within Plasmid.
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