Carol Y. Cheung

20.0k total citations · 2 hit papers
271 papers, 12.5k citations indexed

About

Carol Y. Cheung is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Carol Y. Cheung has authored 271 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 236 papers in Ophthalmology, 223 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Biomedical Engineering. Recurrent topics in Carol Y. Cheung's work include Retinal Imaging and Analysis (185 papers), Glaucoma and retinal disorders (172 papers) and Retinal Diseases and Treatments (160 papers). Carol Y. Cheung is often cited by papers focused on Retinal Imaging and Analysis (185 papers), Glaucoma and retinal disorders (172 papers) and Retinal Diseases and Treatments (160 papers). Carol Y. Cheung collaborates with scholars based in Singapore, Hong Kong and China. Carol Y. Cheung's co-authors include Tien Yin Wong, M. Kamran Ikram, Christopher Kai-Shun Leung, Dennis Shun Chiu Lam, Christopher Chen, Robert N. Weinreb, Tin Aung, Ching‐Yu Cheng, Ecosse L. Lamoureux and Seang‐Mei Saw and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Carol Y. Cheung

264 papers receiving 12.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Retinal Nerve Fiber Layer Imaging with Spectral-Domain Optical Coherence Tomography

2009 413 citations Christopher Kai-Shun Leung, Carol Y. Cheung et al. Ophthalmology profile →
OCT Angiography Metrics Predict Progression of Diabetic Retinopathy and Development of Diabetic Macular Edema

2019 200 citations Zihan Sun, Raymond Wong et al. Ophthalmology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Carol Y. Cheung Singapore	65	10.2k	9.4k	1.4k	1.2k	662	271	12.5k
Tin Aung Singapore	73	25.1k 2.5×	19.3k 2.0×	1.8k 1.3×	2.9k 2.4×	922 1.4×	639	28.9k
Linda M. Zangwill United States	81	18.6k 1.8×	15.1k 1.6×	2.4k 1.7×	974 0.8×	434 0.7×	465	19.6k
Felipe A. Medeiros United States	72	18.5k 1.8×	14.3k 1.5×	1.8k 1.3×	1.1k 0.9×	355 0.5×	380	19.8k
Ryo Kawasaki Japan	48	5.7k 0.6×	5.4k 0.6×	169 0.1×	660 0.5×	428 0.6×	299	7.7k
Jeffrey M. Liebmann United States	73	15.9k 1.6×	11.3k 1.2×	1.2k 0.9×	781 0.6×	253 0.4×	516	17.2k
Sebastián Wolf Switzerland	58	9.4k 0.9×	6.5k 0.7×	733 0.5×	607 0.5×	77 0.1×	375	11.4k
Cynthia J. Roberts United States	56	5.0k 0.5×	7.3k 0.8×	576 0.4×	3.1k 2.5×	94 0.1×	260	12.0k
Christopher A. Girkin United States	52	7.7k 0.8×	5.9k 0.6×	622 0.5×	610 0.5×	226 0.3×	287	8.7k
Tom MacGillivray United Kingdom	36	2.3k 0.2×	3.2k 0.3×	340 0.2×	337 0.3×	629 1.0×	170	5.0k
Johannes R. Vingerling Netherlands	55	9.2k 0.9×	7.4k 0.8×	165 0.1×	1.9k 1.6×	88 0.1×	120	12.4k

Countries citing papers authored by Carol Y. Cheung

Since Specialization

Citations

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

Fields of papers citing papers by Carol Y. Cheung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol Y. Cheung. 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 Carol Y. Cheung. The network helps show where Carol Y. Cheung may publish in the future.

Co-authorship network of co-authors of Carol Y. Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Y. Cheung. A scholar is included among the top collaborators of Carol Y. Cheung 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 Carol Y. Cheung. Carol Y. Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hu, Xiaoyan, An Ran Ran, Truong Nguyen, et al.. (2023). What can GPT-4 do for Diagnosing Rare Eye Diseases? A Pilot Study. Ophthalmology and Therapy. 12(6). 3395–3402. 42 indexed citations

Cheung, Carol Y., Valérie Biousse, Pearse A. Keane, Ernesto L. Schiffrin, & Tien Yin Wong. (2022). Hypertensive eye disease. Nature Reviews Disease Primers. 8(1). 14–14. 54 indexed citations

Arnould, Louis, Fabrice Mériaudeau, Charles Guénancia, et al.. (2022). Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review. Ophthalmology and Therapy. 12(2). 657–674. 35 indexed citations

Chan, Poemen P., M. Wong, Noel C. Y. Chan, et al.. (2022). Risk of Normal Tension Glaucoma Progression From Automated Baseline Retinal-Vessel Caliber Analysis: A Prospective Cohort Study. American Journal of Ophthalmology. 247. 111–120. 11 indexed citations

Chan, Poemen P., et al.. (2021). Assessment of risk of normal tension glaucoma progression via deep-learning based retinal-vessel caliber measurement. Investigative Ophthalmology & Visual Science. 62(8). 1027–1027. 1 indexed citations

Ran, An Ran, Clement C. Tham, Poemen P. Chan, et al.. (2020). Correction: Deep learning in glaucoma with optical coherence tomography: a review. Eye. 35(1). 357–357. 2 indexed citations

Chua, Jacqueline, Yih Chung Tham, Bingyao Tan, et al.. (2019). Age-related changes of individual macular retinal layers among Asians. Scientific Reports. 9(1). 20352–20352. 30 indexed citations

Ran, An Ran, Xi Wang, Luyang Luo, et al.. (2019). A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans. Investigative Ophthalmology & Visual Science. 60(9). 5571–5571. 1 indexed citations

Cheung, Carol Y., Victor T.T. Chan, Vincent Mok, Christopher Chen, & Tien Yin Wong. (2018). Potential retinal biomarkers for dementia: what is new?. Current Opinion in Neurology. 32(1). 82–91. 45 indexed citations

10.

Jung, Na‐Yeon, Jong Chul Han, Yi Ting Ong, et al.. (2018). Retinal microvasculature changes in amyloid-negative subcortical vascular cognitive impairment compared to amyloid-positive Alzheimer's disease. Journal of the Neurological Sciences. 396. 94–101. 34 indexed citations

11.

Tang, Fangyao, et al.. (2018). Progressive Changes in Microvasculature in Eyes with Different Diabetic Retinopathy Severity: A Longitudinal Study. Investigative Ophthalmology & Visual Science. 59(9). 2801–2801. 1 indexed citations

12.

Ng, Danny Siu‐Chun, Frank Hiu Ping Lai, Fang Tang, et al.. (2017). Choroidal structures in polypoidal choroidal vasculopathy, neovascular age-related maculopathy, and healthy eyes determined by binarization of swept source optical coherence tomographic images. Graefe s Archive for Clinical and Experimental Ophthalmology. 255(5). 935–943. 42 indexed citations

13.

Lee, Ryan, et al.. (2017). Factors affecting signal strength in spectral‐domain optical coherence tomography. Acta Ophthalmologica. 96(1). e54–e58. 20 indexed citations

14.

Gupta, Preeti, Jiemin Liao, Yih Chung Tham, et al.. (2014). Assessment of Iris Surface Features and Their Relationship with Iris Thickness in Asian Eyes. Ophthalmology. 121(5). 1007–1012. 38 indexed citations

15.

Bhargava, Mayuri, Victor Koh, Carol Y. Cheung, et al.. (2013). Prevalence and risk factors of retinal vein occlusion in Asian Indians - comparative study between Singapore and India. Investigative Ophthalmology & Visual Science. 54(15). 1565–1565. 2 indexed citations

16.

Gao, Xinting, Damon Wing Kee Wong, Ying Sun, et al.. (2012). Automatic pterygium detection on cornea images to enhance computer-aided cortical cataract grading system. PubMed. 2012. 4434–4437. 24 indexed citations

17.

Liu, Shu, Robert N. Weinreb, Cong Ye, et al.. (2011). Comparison of Standard Automated Perimetry, Frequency-Doubling Technology Perimetry, and Short-Wavelength Automated Perimetry for Detection of Glaucoma. Investigative Ophthalmology & Visual Science. 52(10). 7325–7325. 50 indexed citations

18.

Leung, Christopher Kai-Shun, Vivian Chiu, Robert N. Weinreb, et al.. (2011). Evaluation of Retinal Nerve Fiber Layer Progression in Glaucoma. Ophthalmology. 118(8). 1558–1562. 87 indexed citations

19.

Aung, Tin, Ce Zheng, Ching Lin Ho, et al.. (2010). Novel Anterior Chamber Angle Measurements With High Definition Optical Coherence Tomography Using the Schwalbe’s Line as the Landmark. Investigative Ophthalmology & Visual Science. 51(13). 3855–3855. 1 indexed citations

20.

Leung, Christopher Kai-Shun, et al.. (2009). Evaluation of Glaucoma Progression by Measuring the Rate of Change of Retinal Nerve Fiber Layer Thickness. Investigative Ophthalmology & Visual Science. 50(13). 2571–2571. 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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