Daniel Ting
Impact in
- Ophthalmology top 1%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
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- Retinal Imaging and Analysis
Papers in ⓘ
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- Retinal Diseases and Treatments 13
- Glaucoma and retinal disorders 7
- Retinal and Optic Conditions 6
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Tien Yin Wong (5 shared papers)Gavin Siew Wei Tan (3 shared papers)Charumathi Sabanayagam (2 shared papers)Wanfen Yip (1 shared paper)Valentina Bellemo (1 shared paper)Yuchen Xie (1 shared paper)Marcus Ang (3 shared papers)Gilbert Lim (2 shared papers)
- Journals
- Eye and Vision (2 papers)Ophthalmology (2 papers)Eye (2 papers)Clinical and Experimental Ophthalmology (2 papers)Scientific Reports (1 paper)
- Partner nations
- SingaporeAustraliaUnited Kingdom
In The Last Decade
Daniel Ting
17 papers receiving 538 citations
Peers
Comparison fields: 5 of 71
- Ophthalmology 408
- Radiology, Nuclear Medicine and Imaging 402
- Health Informatics 11
- Health Information Management 28
- Clinical Biochemistry 18
Countries citing papers authored by Daniel Ting
This map shows the geographic impact of Daniel Ting'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 Daniel Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ting more than expected).
Fields of papers citing papers by Daniel Ting
This network shows the impact of papers produced by Daniel Ting. 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 Daniel Ting. The network helps show where Daniel Ting may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ting, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 114 | |
| 2 | 2020 | 80 | |
| 3 | 2017 | 64 | |
| 4 | 2020 | 62 | |
| 5 | 2021 | 61 | |
| 6 | 2011 | 55 | |
| 7 | 2011 | 24 | |
| 8 | 2022 | 21 | |
| 9 | 2010 | 16 | |
| 10 | Diabetic retinopathy--screening and management by Australian GPs. | 2011 | 14 |
| 11 | 2021 | 12 | |
| 12 | 2011 | 8 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2013 | 3 | |
| 16 | Estimation of Haemoglobin A1c from Retinal photographs via Deep Learning. | 2019 | 2 |
| 17 | 2012 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2020 | 0 | |
| 20 | Classic Risk Factors for Diabetic Retinopathy: Deep Learning versus Human Graders | 2018 | 0 |
About Daniel Ting
Daniel Ting is a scholar working on Ophthalmology, Health Informatics, Radiology, Nuclear Medicine and Imaging, Health Information Management and Epidemiology, having authored 20 papers that have together received 545 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (16 papers), Retinal Diseases and Treatments (13 papers), Glaucoma and retinal disorders (7 papers), Retinal and Optic Conditions (6 papers), Acute Ischemic Stroke Management (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Ophthalmology and Visual Impairment Studies (2 papers) and Optical Coherence Tomography Applications (1 paper). The work is most often cited by research in Ophthalmology (408 citations), Radiology, Nuclear Medicine and Imaging (402 citations), Health Informatics (11 citations), Health Information Management (28 citations) and Clinical Biochemistry (18 citations). Daniel Ting has collaborated with scholars based in Singapore, Australia and United Kingdom. Frequent co-authors include Tien Yin Wong, Gavin Siew Wei Tan, Charumathi Sabanayagam, Wanfen Yip, Valentina Bellemo, Yuchen Xie, Marcus Ang, Gilbert Lim, Carol Y. Cheung and Yogesan Kanagasingam. Their work appears in journals such as Eye and Vision, Ophthalmology, Eye, Clinical and Experimental Ophthalmology and Scientific Reports.
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.