What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Bacteria
- Antibiotics
Ken B. Waites focuses on Microbiology, Immunology, Ureaplasma, Mycoplasma pneumoniae and Ureaplasma urealyticum.
His Immunology study combines topics in areas such as Mycoplasmataceae, Disease, Pneumonia and Pneumonia.
His Mycoplasmataceae research is multidisciplinary, incorporating perspectives in Respiratory disease and Gram staining.
His Ureaplasma research includes themes of Amniotic fluid and Mycoplasma hominis.
His Mycoplasma pneumoniae study combines topics from a wide range of disciplines, such as Community-acquired pneumonia, Epidemiology, Virology, Genome and Respiratory infection.
His Ureaplasma urealyticum research includes elements of Erythromycin and Physiology.
His most cited work include:
- Mycoplasma pneumoniae and Its Role as a Human Pathogen (880 citations)
- Mycoplasmas and Ureaplasmas as Neonatal Pathogens (430 citations)
- Chronic Ureaplasma urealyticum and Mycoplasma hominis infections of central nervous system in preterm infants. (356 citations)
What are the main themes of his work throughout his whole career to date?
Microbiology, Immunology, Ureaplasma, Mycoplasma pneumoniae and Ureaplasma urealyticum are his primary areas of study.
His Microbiology research focuses on Virology and how it relates to Streptococcus pneumoniae and Quinolone.
His Immunology study integrates concerns from other disciplines, such as Meningitis, Disease and Lung.
His Ureaplasma research incorporates elements of Bronchopulmonary dysplasia, Internal medicine and Azithromycin.
Ken B. Waites has researched Mycoplasma pneumoniae in several fields, including Macrolide resistance, Drug resistance and Genotype.
In his study, Respiratory disease is inextricably linked to Mycoplasmataceae, which falls within the broad field of Ureaplasma urealyticum.
He most often published in these fields:
- Microbiology (45.49%)
- Immunology (20.83%)
- Ureaplasma (20.14%)
What were the highlights of his more recent work (between 2013-2021)?
- Mycoplasma pneumoniae (18.75%)
- Microbiology (45.49%)
- Ureaplasma (20.14%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Mycoplasma pneumoniae, Microbiology, Ureaplasma, Internal medicine and Mycoplasma genitalium.
His Mycoplasma pneumoniae study improves the overall literature in Pneumonia.
Microbiology connects with themes related to Bacteria in his study.
In his study, Immunology is strongly linked to Hyperammonemia, which falls under the umbrella field of Ureaplasma.
His work deals with themes such as Gastroenterology and Azithromycin, which intersect with Internal medicine.
The various areas that Ken B. Waites examines in his Mycoplasma genitalium study include Polymerase chain reaction, Genitourinary system and Quinolone.
Between 2013 and 2021, his most popular works were:
- Mycoplasma pneumoniae from the Respiratory Tract and Beyond (169 citations)
- Disseminated Ureaplasma infection as a cause of fatal hyperammonemia in humans (77 citations)
- Macrolide-Resistant Mycoplasma pneumoniae, United States (67 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Bacteria
- Antibiotics
His primary areas of study are Mycoplasma pneumoniae, Microbiology, Ureaplasma, Ureaplasma infection and Virology.
His Mycoplasma pneumoniae research is classified as research in Internal medicine.
His study ties his expertise on Genotype together with the subject of Microbiology.
The Ureaplasma study combines topics in areas such as Molecular biology and Beta defensin.
His study in Ureaplasma infection is interdisciplinary in nature, drawing from both Bronchopulmonary dysplasia, Chorioamnionitis, Immunology, Ureaplasma parvum and Hyperammonemia.
His work on Mycoplasma genitalium as part of general Virology study is frequently connected to Men who have sex with men, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
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.
