What is he best known for?
The fields of study he is best known for:
- Gene
- Internal medicine
- Surgery
His primary scientific interests are in Ophthalmology, Glaucoma, Surgery, Intraocular pressure and Eye disease.
As part of his studies on Ophthalmology, Peng T. Khaw often connects relevant areas like Mitomycin C.
His Glaucoma study combines topics in areas such as Anterior Eye Segment and Pediatrics.
His work on Trabeculectomy and Randomized controlled trial as part of his general Surgery study is frequently connected to Fornix, thereby bridging the divide between different branches of science.
Peng T. Khaw has included themes like Optic neuropathy and Prospective cohort study in his Intraocular pressure study.
His biological study deals with issues like Visual acuity, which deal with fields such as Refractory and Decompensation.
His most cited work include:
- Primary open-angle glaucoma (1475 citations)
- Clinically applicable deep learning for diagnosis and referral in retinal disease (811 citations)
- The prevalence of glaucoma in Chinese residents of Singapore: a cross-sectional population survey of the Tanjong Pagar district. (516 citations)
What are the main themes of his work throughout his whole career to date?
Peng T. Khaw mainly investigates Glaucoma, Ophthalmology, Intraocular pressure, Surgery and Trabeculectomy.
His biological study spans a wide range of topics, including Eye disease and Optometry.
Peng T. Khaw regularly links together related areas like Confidence interval in his Ophthalmology studies.
His study in Intraocular pressure is interdisciplinary in nature, drawing from both Prospective cohort study, Optic disk, Optic nerve and Optic disc.
His Retinal study deals with Retina intersecting with Cell biology, Muller glia and Stem cell.
His study explores the link between Wound healing and topics such as Fibroblast that cross with problems in Pathology and Molecular biology.
He most often published in these fields:
- Glaucoma (46.00%)
- Ophthalmology (43.94%)
- Intraocular pressure (26.32%)
What were the highlights of his more recent work (between 2018-2021)?
- Glaucoma (46.00%)
- Ophthalmology (43.94%)
- Retinal (8.47%)
In recent papers he was focusing on the following fields of study:
His main research concerns Glaucoma, Ophthalmology, Retinal, Intraocular pressure and Confidence interval.
His Glaucoma research is multidisciplinary, incorporating perspectives in Genetics, Genome-wide association study and Surgery.
His Ophthalmology research is multidisciplinary, relying on both Strain and Microsphere.
The Retinal study combines topics in areas such as Retina, Optical coherence tomography and Induced pluripotent stem cell.
His Intraocular pressure research is multidisciplinary, incorporating elements of Cataract surgery, Virus, Aquaporin and Optic nerve.
His work deals with themes such as Odds ratio, Body mass index, Cohort and Receiver operating characteristic, which intersect with Confidence interval.
Between 2018 and 2021, his most popular works were:
- Multitrait analysis of glaucoma identifies new risk loci and enables polygenic prediction of disease susceptibility and progression. (40 citations)
- The Oculome Panel Test: Next-Generation Sequencing to Diagnose a Diverse Range of Genetic Developmental Eye Disorders (32 citations)
- The Oculome Panel Test: Next-Generation Sequencing to Diagnose a Diverse Range of Genetic Developmental Eye Disorders (32 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Surgery
Glaucoma, Ophthalmology, Intraocular pressure, Confidence interval and Odds ratio are his primary areas of study.
His studies deal with areas such as Copy-number variation, Illumina dye sequencing, Eye disease, Congenital cataracts and Sanger sequencing as well as Glaucoma.
His study brings together the fields of Tube length and Ophthalmology.
Peng T. Khaw combines subjects such as Genetics, Optic disk, Anophthalmia and Surgical approach with his study of Intraocular pressure.
His Confidence interval research integrates issues from Cross-sectional study, Body mass index, Biobank and Cohort study.
His Odds ratio research includes themes of Interquartile range, Disease and Comorbidity.
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