What is he best known for?
The fields of study he is best known for:
Biochemistry, Clostridium acetobutylicum, Nucleic acid sequence, Molecular biology and Gene are his primary areas of study.
His Biochemistry study frequently links to adjacent areas such as Vibrio alginolyticus.
In his study, Mutant is strongly linked to Microbiology, which falls under the umbrella field of Clostridium acetobutylicum.
His Nucleic acid sequence study also includes fields such as
- Escherichia coli most often made with reference to Peptide sequence,
- Consensus sequence, which have a strong connection to Start codon and Subcloning.
His biological study spans a wide range of topics, including Glutamine synthetase, Open reading frame and Adenylylation.
His Gene study combines topics in areas such as Hydrogenase and DNA.
His most cited work include:
- Impaired Glucose Tolerance and Elevated Blood Pressure in Low Birth Weight, Nonobese, Young South African Adults: Early Programming of Cortisol Axis (258 citations)
- Solvent Production and Morphological Changes in Clostridium acetobutylicum (140 citations)
- The genetic engineering of microbial solvent production (119 citations)
What are the main themes of his work throughout his whole career to date?
David R. Woods focuses on Biochemistry, Molecular biology, Microbiology, Escherichia coli and Clostridium acetobutylicum.
His work deals with themes such as Bacteroides fragilis and Bacteria, which intersect with Biochemistry.
His Molecular biology research also works with subjects such as
- Nucleic acid sequence that intertwine with fields like Peptide sequence, Homology and Consensus sequence,
- Amino acid which intersects with area such as Catabolite repression.
As a part of the same scientific family, David R. Woods mostly works in the field of Microbiology, focusing on Thiobacillus ferrooxidans and, on occasion, Cloning vector.
His research in Escherichia coli intersects with topics in Plasmid, Genetic transfer, Recombinant DNA, Vibrio alginolyticus and Molecular cloning.
As a member of one scientific family, he mostly works in the field of Clostridium acetobutylicum, focusing on Clostridium and, on occasion, Bacteriocin.
He most often published in these fields:
- Biochemistry (53.42%)
- Molecular biology (32.19%)
- Microbiology (30.82%)
What were the highlights of his more recent work (between 1995-2018)?
- Medical emergency (2.05%)
- Pediatrics (2.05%)
- Public health (2.05%)
In recent papers he was focusing on the following fields of study:
David R. Woods mainly investigates Medical emergency, Pediatrics, Public health, Child mortality and Pulse oximetry.
His Medical emergency study incorporates themes from Auscultation and Health professionals.
His Public health study integrates concerns from other disciplines, such as Developing country, Millennium Development Goals, Disease burden and Environmental health.
The Child mortality study combines topics in areas such as Psychological intervention, Workforce, Health care and Epidemiological transition.
His work blends Measles elimination and Internal medicine studies together.
His research integrates issues of Diabetes mellitus and Birth weight in his study of Internal medicine.
Between 1995 and 2018, his most popular works were:
- Impaired Glucose Tolerance and Elevated Blood Pressure in Low Birth Weight, Nonobese, Young South African Adults: Early Programming of Cortisol Axis (258 citations)
- Adult BMI and fat distribution but not height amplify the effect of low birthweight on insulin resistance and increased blood pressure in 20-year-old South Africans. (31 citations)
- Improving survival rates of newborn infants in South Africa (23 citations)
In his most recent research, the most cited papers focused on:
David R. Woods mainly focuses on Pregnancy, Insulin resistance, Low birth weight, Internal medicine and Endocrinology.
His Pregnancy research includes elements of Survivorship curve, Pediatrics and Public health.
His Insulin resistance study combines topics in areas such as Hydrocortisone, Blood plasma and Glucocorticoid.
His Low birth weight research is multidisciplinary, incorporating perspectives in Body mass index, Birth weight, Obesity, Diabetes mellitus and Blood pressure.
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.
