What is she best known for?
The fields of study she is best known for:
Nicola Zamboni mainly focuses on Biochemistry, Cell biology, Genetics, Mass spectrometry and Metabolome.
Her work on Metabolite, Oxidative phosphorylation, Glycolysis and Pentose phosphate pathway as part of general Biochemistry research is frequently linked to Isotopic tracer, bridging the gap between disciplines.
Nicola Zamboni has researched Glycolysis in several fields, including Transcription factor, Arginine, Intracellular and Effector.
Her Cell biology research incorporates themes from Viability assay, Cancer, Glutamine and Citric acid cycle.
Her work in the fields of Genetics, such as Mitochondrial unfolded protein response, Proteome and RNA, intersects with other areas such as Data set and Point.
Her Metabolome study is concerned with the larger field of Metabolomics.
Her most cited work include:
- Deficiency in glutamine but not glucose induces MYC-dependent apoptosis in human cells (485 citations)
- L-Arginine Modulates T Cell Metabolism and Enhances Survival and Anti-tumor Activity. (456 citations)
- 13 C-based metabolic flux analysis (415 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Biochemistry, Metabolomics, Cell biology, Metabolome and Computational biology.
Her study on Glycolysis, Metabolism, Enzyme and Mutant is often connected to Bacillus subtilis as part of broader study in Biochemistry.
Her biological study spans a wide range of topics, including Biotechnology, Yeast, Systems biology, Metabolite and Functional genomics.
Her Cell biology research is multidisciplinary, incorporating elements of Adipose tissue, Cancer cell and Cell growth.
Her studies examine the connections between Metabolome and genetics, as well as such issues in Transcriptome, with regards to Phenotype.
Her Computational biology research is multidisciplinary, relying on both Metabolic flux analysis and Bioinformatics.
She most often published in these fields:
- Biochemistry (29.92%)
- Metabolomics (20.47%)
- Cell biology (19.69%)
What were the highlights of her more recent work (between 2018-2021)?
- Cell biology (19.69%)
- Cancer research (7.87%)
- Metabolome (18.11%)
In recent papers she was focusing on the following fields of study:
Cell biology, Cancer research, Metabolome, Transcriptome and Phenotype are her primary areas of study.
The study incorporates disciplines such as Metabolite, Downregulation and upregulation and RNA-binding protein in addition to Cell biology.
Glioma, Glycolysis, Beta oxidation, CD36 and Fatty acid metabolism is closely connected to Cell in her research, which is encompassed under the umbrella topic of Cancer research.
Her study looks at the relationship between Metabolome and topics such as Gene, which overlap with Computational biology and Organoid.
Enzyme is a subfield of Biochemistry that she tackles.
Her biological study focuses on Flux.
Between 2018 and 2021, her most popular works were:
- Lipid signalling drives proteolytic rewiring of mitochondria by YME1L. (40 citations)
- The RNA-Binding Protein PUM2 Impairs Mitochondrial Dynamics and Mitophagy During Aging. (37 citations)
- Inhibition of Mevalonate Pathway Prevents Adipocyte Browning in Mice and Men by Affecting Protein Prenylation. (26 citations)
In her most recent research, the most cited papers focused on:
Her primary areas of investigation include Cell biology, Computational biology, Proteostasis, Mitochondrion and Transcription factor.
Her studies in Cell biology integrate themes in fields like Mevalonate pathway, Adipocyte and YAP1.
The concepts of her Computational biology study are interwoven with issues in Proteome, Proteomics, Protein aggregation and Resolution.
Her work focuses on many connections between Proteostasis and other disciplines, such as Lipid metabolism, that overlap with her field of interest in Cell.
Her work in the fields of Mitochondrial biogenesis overlaps with other areas such as Neurodegeneration.
Her Transcription factor study incorporates themes from Carcinogenesis, Cancer cell and Neural crest.
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