Tien‐En Tan

2.0k total citations · 1 hit paper
48 papers, 813 citations indexed

About

Tien‐En Tan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Tien‐En Tan has authored 48 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Ophthalmology, 35 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Molecular Biology. Recurrent topics in Tien‐En Tan's work include Retinal Diseases and Treatments (23 papers), Retinal Imaging and Analysis (19 papers) and Retinal and Optic Conditions (13 papers). Tien‐En Tan is often cited by papers focused on Retinal Diseases and Treatments (23 papers), Retinal Imaging and Analysis (19 papers) and Retinal and Optic Conditions (13 papers). Tien‐En Tan collaborates with scholars based in Singapore, China and United States. Tien‐En Tan's co-authors include Tien Yin Wong, Jodhbir S. Mehta, Xiaorong Li, Yan Shao, Zhengwei Yang, Chui Ming Gemmy Cheung, Daniel Shu Wei Ting, Donald Tan, Kelvin Yi Chong Teo and Marcus Ang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Tien‐En Tan

42 papers receiving 788 citations

Hit Papers

Diabetic retinopathy: Looking forward to 2030 2023 2026 2024 2025 2023 50 100 150 200

Peers

Tien‐En Tan
Brian J. Song United States
Chelsea E. Myers United States
Freekje van Asten Netherlands
Scott D. Schoenberger United States
Bertan Cakir United States
Yara Lechanteur Netherlands
Brian J. Song United States
Tien‐En Tan
Citations per year, relative to Tien‐En Tan Tien‐En Tan (= 1×) peers Brian J. Song

Countries citing papers authored by Tien‐En Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tien‐En Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tien‐En Tan. 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 Tien‐En Tan. The network helps show where Tien‐En Tan may publish in the future.

Co-authorship network of co-authors of Tien‐En Tan

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

All Works

20 of 20 papers shown
1.
Tan, Tien‐En, Jie Yao, Liangli Zhen, et al.. (2025). Detection of Center-Involved Diabetic Macular Edema With Visual Impairment Using Multimodal Artificial Intelligence Algorithms. Ophthalmology Retina. 9(10). 955–963.
2.
Su, Shaobing, Choi Mun Chan, Yasmin Bylstra, et al.. (2025). Inherited retinal degeneration in Malay and Indian populations of Singapore and Malaysia: a prospective multicentre study. Ophthalmic Genetics. 46(3). 225–236.
3.
Ibrahim, Farah, Kelvin Yi Chong Teo, Tien‐En Tan, et al.. (2024). Initial experiences of switching to faricimab for neovascular age-related macular degeneration and polypoidal choroidal vasculopathy in an Asian population. SHILAP Revista de lepidopterología. 3. 1346322–1346322. 6 indexed citations
4.
Cheong, Kai Xiong, Tien‐En Tan, Beau J. Fenner, et al.. (2024). Comparing generative and retrieval-based chatbots in answering patient questions regarding age-related macular degeneration and diabetic retinopathy. British Journal of Ophthalmology. 108(10). 1443–1449. 17 indexed citations
5.
Tan, Tien‐En, et al.. (2023). Diagnostic Challenges in ABCA4-Associated Retinal Degeneration: One Gene, Many Phenotypes. Diagnostics. 13(23). 3530–3530. 2 indexed citations
6.
Wong, Tien Yin & Tien‐En Tan. (2023). The Diabetic Retinopathy “Pandemic” and Evolving Global Strategies: The 2023 Friedenwald Lecture. Investigative Ophthalmology & Visual Science. 64(15). 47–47. 22 indexed citations
7.
Tan, Tien‐En, Lee M. Jampol, Frederick L. Ferris, et al.. (2023). Imaging Modalities for Assessing the Vascular Component of Diabetic Retinal Disease: Review and Consensus for an Updated Staging System. SHILAP Revista de lepidopterología. 4(3). 100449–100449. 7 indexed citations
8.
Tan, Tien‐En & Tien Yin Wong. (2023). Diabetic retinopathy: Looking forward to 2030. Frontiers in Endocrinology. 13. 1077669–1077669. 243 indexed citations breakdown →
9.
Fenner, Beau J., Tien‐En Tan, Veluchamy A. Barathi, et al.. (2022). Gene-Based Therapeutics for Inherited Retinal Diseases. Frontiers in Genetics. 12. 794805–794805. 38 indexed citations
10.
Ting, Darren Shu Jeng, Yu‐Chi Liu, Yi Fang Lee, et al.. (2021). Cosmetic outcome of femtosecond laser-assisted pterygium surgery. Eye and Vision. 8(1). 7–7. 3 indexed citations
11.
Tan, Tien‐En, Beau J. Fenner, Veluchamy A. Barathi, et al.. (2021). Gene-Based Therapeutics for Acquired Retinal Disease: Opportunities and Progress. Frontiers in Genetics. 12. 795010–795010. 22 indexed citations
12.
Tan, Tien‐En, Beau J. Fenner, Arundhati Anshu, et al.. (2021). Clinical operational considerations and responses to lockdown and reopening in the Covid-19 pandemic: experience of a tertiary ophthalmology centre in Singapore. Eye. 36(10). 1924–1933. 4 indexed citations
13.
Tan, Tien‐En, Gavin Tan, Anna C. S. Tan, et al.. (2020). Handheld chromatic pupillometry detects preclinical retinal dysfunction in patients with diabetes mellitus. Investigative Ophthalmology & Visual Science. 61(7). 5039–5039. 1 indexed citations
14.
Yip, Michelle, Gilbert Lim, Zhan Wei Lim, et al.. (2020). Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. npj Digital Medicine. 3(1). 40–40. 31 indexed citations
15.
Liu, Yu‐Chi, et al.. (2020). Femtosecond Laser-assisted Preparation of Conjunctival Autograft for Pterygium Surgery. Scientific Reports. 10(1). 2674–2674. 16 indexed citations
16.
Ting, Daniel Shu Wei, Valencia Hui Xian Foo, Tien‐En Tan, et al.. (2020). 25-years Trends and Risk factors related to Surgical Outcomes of Giant Retinal Tear-Rhegmatogenous Retinal Detachments. Scientific Reports. 10(1). 5474–5474. 16 indexed citations
17.
Mehta, Jodhbir S., et al.. (2019). Optical Coherence Tomography Angiography for Evaluation of Reperfusion following Pterygium Surgery. Investigative Ophthalmology & Visual Science. 60(11). 1 indexed citations
18.
Tan, Tien‐En, Daniel SW Ting, Yong Liu, et al.. (2019). Artificial intelligence using a deep learning system with transfer learning to predict refractive error and myopic macular degeneration from color fundus photographs. Investigative Ophthalmology & Visual Science. 60(9). 1478–1478. 10 indexed citations
19.
Tan, Tien‐En, Quang D. Nguyen, Jacqueline Chua, et al.. (2019). Global Assessment of Retinal Arteriolar, Venular and Capillary Microcirculations Using Fundus Photographs and Optical Coherence Tomography Angiography in Diabetic Retinopathy. Scientific Reports. 9(1). 11751–11751. 30 indexed citations
20.
Tan, Tien‐En, Chui Ming Gemmy Cheung, & Jodhbir S. Mehta. (2016). Activation ofCytomegaloviruscorneal endotheliitis following laser in situ keratomileusis. BMJ Case Reports. 2016. bcr2016216774–bcr2016216774. 6 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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