What is he best known for?
The fields of study he is best known for:
His main research concerns Virology, Virus, Reverse transcriptase, Zidovudine and Mutation.
His Virology research is multidisciplinary, incorporating elements of Protease and Drug resistance.
The study incorporates disciplines such as Viral disease, Genotype and Ritonavir in addition to Drug resistance.
Brendan Larder combines subjects such as Nucleoside analogue, Plasmid and Cross-resistance with his study of Virus.
Brendan Larder has researched Reverse transcriptase in several fields, including Recombinant virus, Recombinant DNA, Enzyme, Molecular biology and Nevirapine.
His studies deal with areas such as Virus quantification, AIDS-related complex, Combination therapy and Polymerase chain reaction as well as Zidovudine.
His most cited work include:
- HIV with reduced sensitivity to zidovudine (AZT) isolated during prolonged therapy (1342 citations)
- Multiple mutations in HIV-1 reverse transcriptase confer high-level resistance to zidovudine (AZT). (1037 citations)
- Resistance to ddI and Sensitivity to AZT Induced by a Mutation in HIV-1 Reverse Transcriptase (576 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Virology, Reverse transcriptase, Virus, Drug resistance and Zidovudine.
His Virology research is multidisciplinary, relying on both Mutation, Gene, Mutant, Molecular biology and Resistance mutation.
His study looks at the relationship between Reverse transcriptase and topics such as Nevirapine, which overlap with Delavirdine, Efavirenz and Reverse-transcriptase inhibitor.
The various areas that Brendan Larder examines in his Virus study include Cross-resistance and Recombinant virus.
Brendan Larder has included themes like Viral disease, Viral load, Immunology, HIV drug resistance and Genotype in his Drug resistance study.
His Zidovudine research incorporates themes from Lamivudine and Combination therapy.
He most often published in these fields:
- Virology (58.70%)
- Reverse transcriptase (36.96%)
- Virus (34.78%)
What were the highlights of his more recent work (between 2007-2021)?
- Intensive care medicine (10.14%)
- Genotype (21.01%)
- Regimen (12.32%)
In recent papers he was focusing on the following fields of study:
Brendan Larder focuses on Intensive care medicine, Genotype, Regimen, Computational model and Viral load.
His study in Genotype is interdisciplinary in nature, drawing from both Hiv treatment, Internal medicine and Immunology.
As part of the same scientific family, Brendan Larder usually focuses on Viral load, concentrating on Pharmacotherapy and intersecting with Acquired immunodeficiency syndrome, Cross-validation and Combination therapy.
Brendan Larder works mostly in the field of Drug, limiting it down to concerns involving Decision support system and, occasionally, Drug resistance, Drug regimen and Pharmacogenetics.
His HIV therapy research incorporates elements of Viral suppression, Virology, Expert system, Hiv resistance and Operations research.
Etravirine is a subfield of Reverse transcriptase that Brendan Larder explores.
Between 2007 and 2021, his most popular works were:
- A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapy (48 citations)
- Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings (27 citations)
- The development of an expert system to predict virological response to HIV therapy as part of an online treatment support tool. (25 citations)
In his most recent research, the most cited papers focused on:
His primary areas of investigation include Intensive care medicine, Viral load, Antiretroviral therapy, Genotyping and Computational model.
His Genotype research extends to Viral load, which is thematically connected.
His studies in Antiretroviral therapy integrate themes in fields like Expert system and Virology.
His Genotyping study which covers HIV drug resistance that intersects with MEDLINE, Pharmacogenetics, Decision support system, Drug resistance and Drug.
His Computational model study integrates concerns from other disciplines, such as Machine learning, Predictive value of tests and Regimen.
In the subject of general Immunology, his work in Viral disease and Lentivirus is often linked to Cost effectiveness, thereby combining diverse domains of study.
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.
