Wan-Ting Tay

2.3k citations
15 papers · 539 · h-index 12

Impact in

Papers in

Wan-Ting Tay

14 papers receiving 528 citations

Peers

Wan-Ting Tay
Comparison fields: 5 of 79
  • Ophthalmology 258
  • Radiology, Nuclear Medicine and Imaging 237
  • Genetics 140
  • Endocrinology, Diabetes and Metabolism 57
  • Epidemiology 102
Replace J. J. Wang with:
J. J. Wang Australia
Yeunjoo E. Song United States
Tien‐En Tan Singapore
Jane Z. Kuo United States
Can Pang China
Mingzhou Zhang China
Marc Stahel Switzerland
Aditi Gupta India
Ingrid Rietveld Netherlands
Jesús Peralta Spain
Wan-Ting Tay relative to J. J. Wang Australia J. J. Wang's profile →
Citations per field
00.5×2.9×
J. J. Wang · 1×
Citations per year

Countries citing papers authored by Wan-Ting Tay

Since Specialization
Citations

This map shows the geographic impact of Wan-Ting Tay's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wan-Ting Tay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan-Ting Tay more than expected).

Fields of papers citing papers by Wan-Ting Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan-Ting Tay. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wan-Ting Tay. The network helps show where Wan-Ting Tay may publish in the future.

Co-authors

The 25 scholars most cited alongside Wan-Ting Tay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wan-Ting Tay Line = papers co-authored together Wan-Ting Tay links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2011107
2 201288
3 200979
4 200939
5
The Prevalence and Risk Factors of Diabetic Retinopathy: The Singapore Malay Eye Study
200833
6 200931
7 200930
8 201129
9 201429
10 201126
11 201320
12 201315
13 20119
14 19694
15 20230

About Wan-Ting Tay

Wan-Ting Tay is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Genetics, Molecular Biology and Epidemiology, having authored 15 papers that have together received 539 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (6 papers), Genetic Associations and Epidemiology (4 papers), Glaucoma and retinal disorders (4 papers), Retinal Imaging and Analysis (4 papers), Connexins and lens biology (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Corneal surgery and disorders (1 paper). The work is most often cited by research in Ophthalmology (258 citations), Radiology, Nuclear Medicine and Imaging (237 citations), Genetics (140 citations), Endocrinology, Diabetes and Metabolism (57 citations) and Epidemiology (102 citations). Wan-Ting Tay has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Tien Yin Wong, Seang‐Mei Saw, E Shyong Tai, Tin Aung, Mark Seielstad, Xueling Sim, Jianjun Liu, Chen Suo, Yik‐Ying Teo and Paul J. Foster. Their work appears in journals such as European Journal of Human Genetics, American Journal of Ophthalmology, Investigative Ophthalmology & Visual Science, Human Mutation and Diabetes and Vascular Disease Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact