Nicole Tay

685 total citations
4 papers, 8 citations indexed

About

Nicole Tay is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Nicole Tay has authored 4 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Ophthalmology, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Epidemiology. Recurrent topics in Nicole Tay's work include Retinal Imaging and Analysis (2 papers), Retinal Diseases and Treatments (2 papers) and Glaucoma and retinal disorders (2 papers). Nicole Tay is often cited by papers focused on Retinal Imaging and Analysis (2 papers), Retinal Diseases and Treatments (2 papers) and Glaucoma and retinal disorders (2 papers). Nicole Tay collaborates with scholars based in United Kingdom, Singapore and Philippines. Nicole Tay's co-authors include Angelos Kalitzeos, Michel Michaelides, Jan Paul Buschdorf, Emily J Patterson, Youran Tan, Ranjan Rajendram, Ranjan Rajendram, Keefe Chng, Peter D. Gluckman and Marwin Gutiérrez and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Eye and Graefe s Archive for Clinical and Experimental Ophthalmology.

In The Last Decade

Nicole Tay

2 papers receiving 8 citations

Peers

Nicole Tay
J. Yang China
Amanda Crowder United Kingdom
Alexa Beiser United States
Sandra Felix Portugal
Putu Yuliawati Indonesia
J. Yang China
Nicole Tay
Citations per year, relative to Nicole Tay Nicole Tay (= 1×) peers J. Yang

Countries citing papers authored by Nicole Tay

Since Specialization
Citations

This map shows the geographic impact of Nicole 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 Nicole Tay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole Tay more than expected).

Fields of papers citing papers by Nicole Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicole 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 Nicole Tay. The network helps show where Nicole Tay may publish in the future.

Co-authorship network of co-authors of Nicole Tay

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Tay. A scholar is included among the top collaborators of Nicole Tay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicole Tay. Nicole Tay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Tay, Nicole, et al.. (2025). How early can we detect diabetic retinopathy? A narrative review of imaging tools for structural assessment of the retina. Graefe s Archive for Clinical and Experimental Ophthalmology. 263(9). 2413–2425.
2.
Tay, Nicole, Angelos Kalitzeos, Thomas Kane, et al.. (2024). Changes in Waveguiding Cone Photoreceptors and Color Vision in Patients With Diabetes Mellitus. Investigative Ophthalmology & Visual Science. 65(14). 28–28.
4.
Tay, Nicole, Youran Tan, Keefe Chng, et al.. (2017). Effect of human milk formula with bovine colostrum supplementation on bone mineral density in infant cynomolgus macaques. Journal of Developmental Origins of Health and Disease. 9(2). 172–181. 1 indexed citations

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.

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