What is he best known for?
The fields of study he is best known for:
The scientist’s investigation covers issues in Microbiome, Genetics, DNA sequencing, Microbiology and Computational biology.
Gregory B. Gloor has included themes like Compositional data, Young adult, Immunology, Exploratory data analysis and Data science in his Microbiome study.
Many of his research projects under Genetics are closely connected to Variance with Variance, tying the diverse disciplines of science together.
Gregory B. Gloor has researched DNA sequencing in several fields, including Fecal bacteriotherapy, Sequence analysis, Bioinformatics and Metagenomics.
In his work, Gene, Minimal genome and Gardnerella vaginalis is strongly intertwined with Lactobacillus iners, which is a subfield of Microbiology.
He combines subjects such as Probiotic, Probiotic bacterium and Bacterial Physiological Phenomena with his study of Antibiotics.
His most cited work include:
- Microbiome Datasets Are Compositional: And This Is Not Optional. (568 citations)
- Stool substitute transplant therapy for the eradication of Clostridium difficile infection: 'RePOOPulating' the gut. (524 citations)
- Efficient copying of nonhomologous sequences from ectopic sites via P-element-induced gap repair. (410 citations)
What are the main themes of his work throughout his whole career to date?
Gregory B. Gloor spends much of his time researching Genetics, Microbiome, Microbiology, Gene and Immunology.
Genetics is closely attributed to Computational biology in his work.
His Microbiome study incorporates themes from Exploratory data analysis, Internal medicine, Disease and DNA sequencing.
His DNA sequencing research is multidisciplinary, incorporating elements of Sequence analysis and Data mining.
As part of the same scientific family, Gregory B. Gloor usually focuses on Microbiology, concentrating on Lactobacillus rhamnosus and intersecting with Pregnancy.
His work in Immunology addresses issues such as Bacterial vaginosis, which are connected to fields such as Probiotic.
He most often published in these fields:
- Genetics (28.66%)
- Microbiome (23.78%)
- Microbiology (16.46%)
What were the highlights of his more recent work (between 2016-2021)?
- Microbiome (23.78%)
- Lactobacillus rhamnosus (13.41%)
- Gut flora (5.49%)
In recent papers he was focusing on the following fields of study:
His main research concerns Microbiome, Lactobacillus rhamnosus, Gut flora, Internal medicine and Gene.
His study in Microbiome is interdisciplinary in nature, drawing from both Community composition, Compositional data, Computational biology and Disease.
His Lactobacillus rhamnosus study combines topics in areas such as Receptor, Ischemia, Atrial natriuretic peptide and Microbiology.
His Internal medicine research incorporates elements of Medical microbiology, Dominance, Endocrinology and Antibiotics.
His Gene study is associated with Genetics.
His work deals with themes such as Bacterial vaginosis and Lactobacillus, which intersect with Probiotic.
Between 2016 and 2021, his most popular works were:
- Microbiome Datasets Are Compositional: And This Is Not Optional. (568 citations)
- A new genomic blueprint of the human gut microbiota (337 citations)
- The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young (73 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Gene, Disease, Renal function, Physiology and Microbiome.
His research in Gene intersects with topics in Pathogenic bacteria and Bacteria.
The various areas that Gregory B. Gloor examines in his Disease study include Cross-sectional study, Ecology, 16s rrna gene sequencing and Gut flora.
His Physiology research includes elements of Phenotype, Fecal bacteriotherapy, Plasma levels and Phenylacetylglutamine.
His Microbiome research also works with subjects such as
- Compositional data most often made with reference to Human disease,
- Phylogenetics together with Genome.
The concepts of his Genome study are interwoven with issues in Evolutionary biology and Microbiology.
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