What is he best known for?
The fields of study he is best known for:
Listeria monocytogenes, Microbiology, Intracellular, Listeriolysin O and Cell biology are his primary areas of study.
His research investigates the connection with Listeria monocytogenes and areas like Acquired immune system which intersect with concerns in Cell.
His Microbiology study integrates concerns from other disciplines, such as Plasmid, Listeria, Immune system, Vacuole and Virulence.
He has included themes like Interferon and Bacteria in his Immune system study.
His Intracellular study combines topics from a wide range of disciplines, such as Cell culture, Hemolysin, Secretion, Mutant and Cytosol.
His Listeriolysin O research incorporates elements of Cytolysin, Phagosome and Gene.
His most cited work include:
- Actin filaments and the growth, movement, and spread of the intracellular bacterial parasite, Listeria monocytogenes. (1084 citations)
- Gram-positive pathogens (830 citations)
- Role of hemolysin for the intracellular growth of Listeria monocytogenes. (719 citations)
What are the main themes of his work throughout his whole career to date?
Daniel A. Portnoy mostly deals with Microbiology, Listeria monocytogenes, Cell biology, Intracellular parasite and Intracellular.
His studies in Microbiology integrate themes in fields like Virology, Mutant, Bacteria, Listeriolysin O and Virulence.
His Listeriolysin O research incorporates elements of Cytolysin and Host cell cytosol.
His Listeria monocytogenes study which covers Phagosome that intersects with Acquired immune system.
His studies examine the connections between Cell biology and genetics, as well as such issues in Arp2/3 complex, with regards to Microfilament.
His Intracellular research is multidisciplinary, incorporating elements of Extracellular, Cell culture, Hemolysin and Vacuole.
He most often published in these fields:
- Microbiology (54.40%)
- Listeria monocytogenes (47.15%)
- Cell biology (25.39%)
What were the highlights of his more recent work (between 2015-2020)?
- Listeria monocytogenes (47.15%)
- Cell biology (25.39%)
- Microbiology (54.40%)
In recent papers he was focusing on the following fields of study:
Daniel A. Portnoy mainly focuses on Listeria monocytogenes, Cell biology, Microbiology, Intracellular parasite and Virulence.
His Listeria monocytogenes study integrates concerns from other disciplines, such as Host cell cytosol, Antigen and Enzyme.
His work carried out in the field of Cell biology brings together such families of science as Innate immune system, Listeriolysin O and Cytosol.
The Microbiology study combines topics in areas such as Immune system and Bacteria.
His Intracellular parasite study is concerned with Intracellular in general.
Daniel A. Portnoy interconnects Pathogen, Ribosomal binding site and Codon usage bias in the investigation of issues within Virulence.
Between 2015 and 2020, his most popular works were:
- A flavin-based extracellular electron transfer mechanism in diverse Gram-positive bacteria. (161 citations)
- c-di-AMP modulates Listeria monocytogenes central metabolism to regulate growth, antibiotic resistance and osmoregulation. (59 citations)
- STING-Activating Adjuvants Elicit a Th17 Immune Response and Protect against Mycobacterium tuberculosis Infection. (50 citations)
In his most recent research, the most cited papers focused on:
Daniel A. Portnoy mainly investigates Cell biology, Intracellular parasite, Phagosome, Vacuole and Intracellular.
His studies deal with areas such as Bacteria and Cytosol as well as Cell biology.
His study in Intracellular parasite is interdisciplinary in nature, drawing from both Regulation of gene expression and Virulence.
As part of the same scientific family, he usually focuses on Vacuole, concentrating on Phagocytosis and intersecting with Xenophagy, Listeria monocytogenes, Video microscopy and Innate immune system.
His Intracellular study combines topics from a wide range of disciplines, such as Protein subunit and Immunology, Nasal administration.
He studied Mutant and Glycine that intersect with Microbiology.
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.
