What is she best known for?
The fields of study she is best known for:
Her main research concerns Metagenomics, Genome, Mineralogy, Ecology and Nanocrystalline material.
Her work deals with themes such as Colonization, Microbiology, Computational biology and Bacterial phyla, which intersect with Metagenomics.
Her Genome research includes themes of Evolutionary biology, Organism and Phylogenetics.
The Mineralogy study combines topics in areas such as Amorphous solid, Nanoparticle, Crystallization and Chemical physics.
Her work is dedicated to discovering how Ecology, Microbial population biology are connected with Geomicrobiology and other disciplines.
The concepts of her Nanocrystalline material study are interwoven with issues in Particle size, Nanocrystal, Crystal growth and Anatase.
Her most cited work include:
- Imperfect Oriented Attachment: Dislocation Generation in Defect-Free Nanocrystals (2009 citations)
- Community structure and metabolism through reconstruction of microbial genomes from the environment (1853 citations)
- Aggregation-Based Crystal Growth and Microstructure Development in Natural Iron Oxyhydroxide Biomineralization Products (1475 citations)
What are the main themes of her work throughout her whole career to date?
Jillian F. Banfield mainly investigates Metagenomics, Genome, Genetics, Ecology and Bacteria.
Her Metagenomics research focuses on subjects like Archaea, which are linked to Microorganism.
Her Genome study combines topics from a wide range of disciplines, such as Evolutionary biology, Phylum, Phylogenetics and Computational biology.
Her study in Genomics and CRISPR is carried out as part of her studies in Genetics.
Jillian F. Banfield focuses mostly in the field of Ecology, narrowing it down to matters related to Microbial population biology and, in some cases, Environmental chemistry.
Her work carried out in the field of Bacteria brings together such families of science as Proteome, Biochemistry and Microbiology.
She most often published in these fields:
- Metagenomics (30.07%)
- Genome (27.66%)
- Genetics (19.86%)
What were the highlights of her more recent work (between 2018-2021)?
- Genome (27.66%)
- Metagenomics (30.07%)
- Genetics (19.86%)
In recent papers she was focusing on the following fields of study:
Jillian F. Banfield focuses on Genome, Metagenomics, Genetics, Bacteria and Gene.
Her research in Genome intersects with topics in Microbiome, Evolutionary biology, Function, Phylogenetics and Computational biology.
She combines subjects such as Ecology, Botany, Strain, Bacterial genome size and Rhizosphere with her study of Metagenomics.
As part of one scientific family, Jillian F. Banfield deals mainly with the area of Genetics, narrowing it down to issues related to the Genetic diversity, and often Genetic variation.
Jillian F. Banfield has included themes like Environmental chemistry and Lineage in her Bacteria study.
Her biological study spans a wide range of topics, including Microorganism, Microbial ecology and Protein family.
Between 2018 and 2021, her most popular works were:
- Clades of huge phages from across Earth’s ecosystems (133 citations)
- CRISPR-CasΦ from huge phages is a hypercompact genome editor. (102 citations)
- Accurate and complete genomes from metagenomes. (88 citations)
In her most recent research, the most cited papers focused on:
Jillian F. Banfield mainly focuses on Genome, Metagenomics, Genetics, Phylogenetics and Evolutionary biology.
Her Genome study integrates concerns from other disciplines, such as Microbiome, Computational biology and CRISPR.
Her Metagenomics research incorporates elements of Microorganism, Ecology, Archaea and Bacterial genome size.
Her Ecology research integrates issues from Oscillatoriales, Phylum, Microbial mat and Anatoxin-a.
Within one scientific family, Jillian F. Banfield focuses on topics pertaining to Genetic diversity under Genetics, and may sometimes address concerns connected to Sewage, Genotype and DNA sequencing.
Her studies in Phylogenetics integrate themes in fields like Cyanobacteria, Nitrogenase and Phylogenetic tree.
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