D-Index & Metrics Best Publications
Medicine
Singapore
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Medicine D-index 111 Citations 49,898 947 World Ranking 3068 National Ranking 9

Research.com Recognitions

Awards & Achievements

2023 - Research.com Medicine in Singapore Leader Award

2022 - Research.com Medicine in Singapore Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Gene
  • Ophthalmology

Tin Aung mostly deals with Ophthalmology, Glaucoma, Genetics, Genome-wide association study and Eye disease. Tin Aung combines subjects such as Surgery and Confidence interval with his study of Ophthalmology. His studies deal with areas such as Odds ratio, Optometry, Intraocular pressure and Optic nerve as well as Glaucoma.

His Intraocular pressure research focuses on Retinal and how it relates to Retina. His research in Genome-wide association study intersects with topics in SNP, Susceptibility locus, Case-control study, Genetic association and Genetic architecture. His research integrates issues of Iris, Visual acuity, Retrospective cohort study and Axial length in his study of Eye disease.

His most cited work include:

  • Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis. (2112 citations)
  • The Pathophysiology and Treatment of Glaucoma: A Review (1163 citations)
  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)

What are the main themes of his work throughout his whole career to date?

Tin Aung spends much of his time researching Ophthalmology, Glaucoma, Intraocular pressure, Optical coherence tomography and Optometry. His Ophthalmology study integrates concerns from other disciplines, such as Closure and Surgery. The Glaucoma study combines topics in areas such as Confidence interval and Optic nerve.

His work in Confidence interval addresses subjects such as Odds ratio, which are connected to disciplines such as Genetics. Tin Aung has researched Intraocular pressure in several fields, including Prospective cohort study, Randomized controlled trial and Visual acuity. His Optical coherence tomography research is multidisciplinary, incorporating elements of Tomography, Nuclear medicine and Artificial intelligence.

He most often published in these fields:

  • Ophthalmology (61.98%)
  • Glaucoma (54.43%)
  • Intraocular pressure (26.32%)

What were the highlights of his more recent work (between 2017-2021)?

  • Glaucoma (54.43%)
  • Ophthalmology (61.98%)
  • Intraocular pressure (26.32%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Glaucoma, Ophthalmology, Intraocular pressure, Optical coherence tomography and Optic nerve. His work carried out in the field of Glaucoma brings together such families of science as Visual field and Retinal. The study incorporates disciplines such as Lamina and Epidemiology in addition to Ophthalmology.

His biological study spans a wide range of topics, including Prospective cohort study and Randomized controlled trial. His Optical coherence tomography study also includes fields such as

  • Artificial intelligence and related Computer vision,
  • Closure which connect with Surgery. His research on Open angle glaucoma frequently connects to adjacent areas such as Genome-wide association study.

Between 2017 and 2021, his most popular works were:

  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)
  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)
  • DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images (63 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Gene
  • Glaucoma

Tin Aung mainly focuses on Glaucoma, Ophthalmology, Optical coherence tomography, Genome-wide association study and Intraocular pressure. His Glaucoma research incorporates themes from Cornea, Biomedical engineering and Optic nerve. His study in Ophthalmology is interdisciplinary in nature, drawing from both Epidemiology and Ganglion.

The various areas that Tin Aung examines in his Optical coherence tomography study include Closure, Deep learning, Artificial intelligence, Gonioscopy and Tomography. His Genome-wide association study research is multidisciplinary, relying on both Quantitative trait locus, Genetic architecture and Medical genetics. His work deals with themes such as Diabetes mellitus, Visual field, Randomized controlled trial and Blood pressure, which intersect with Intraocular 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.

Best Publications

Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis.

Yih Chung Tham;Xiang Li;Tien Y. Wong;Harry A. Quigley.
Ophthalmology (2014)

4462 Citations

The Pathophysiology and Treatment of Glaucoma: A Review

Robert N. Weinreb;Tin Aung;Felipe A. Medeiros.
JAMA (2014)

2454 Citations

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

Daniel Shu Wei Ting;Daniel Shu Wei Ting;Carol Yim Lui Cheung;Carol Yim Lui Cheung;Gilbert Lim;Gavin Siew Wei Tan;Gavin Siew Wei Tan.
JAMA (2017)

1171 Citations

Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung.
PLOS ONE (2018)

1121 Citations

The genetic architecture of type 2 diabetes

Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan.
Nature (2016)

1022 Citations

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below.
Nature Genetics (2014)

844 Citations

Seven new loci associated with age-related macular degeneration

Lars G. Fritsche;Lars G. Fritsche;Wei Chen;Wei Chen;Matthew Schu;Brian L. Yaspan.
Nature Genetics (2013)

774 Citations

Genome-Wide Association Study of Retinopathy in Individuals Without Diabetes

Richard A. Jensen;Xueling Sim;Xiaohui Li;Mary Frances Cotch.
PLOS ONE (2013)

762 Citations

Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians

Yoon Shin Cho;Chien Hsiun Chen;Chien Hsiun Chen;Cheng Hu;Jirong Long.
Nature Genetics (2012)

648 Citations

Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

Jun Cheng;Jiang Liu;Yanwu Xu;Fengshou Yin.
IEEE Transactions on Medical Imaging (2013)

582 Citations

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