Rose Tan

450 total citations
18 papers, 246 citations indexed

About

Rose Tan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Rose Tan has authored 18 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ophthalmology, 10 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Rose Tan's work include Retinal Diseases and Treatments (13 papers), Retinal Imaging and Analysis (10 papers) and Glaucoma and retinal disorders (7 papers). Rose Tan is often cited by papers focused on Retinal Diseases and Treatments (13 papers), Retinal Imaging and Analysis (10 papers) and Glaucoma and retinal disorders (7 papers). Rose Tan collaborates with scholars based in Australia, Singapore and United States. Rose Tan's co-authors include Chi D. Luu, Robyn H. Guymer, Emily Caruso, Lauren N. Ayton, Simon Nusinovici, Trevor D. Lamb, Erica L. Fletcher, Jacqueline Chua, Leopold Schmetterer and Gavin Siew Wei Tan and has published in prestigious journals such as American Journal of Public Health, Investigative Ophthalmology & Visual Science and British Journal of Ophthalmology.

In The Last Decade

Rose Tan

15 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rose Tan Australia 10 225 177 52 36 8 18 246
Jennifer C. Fan Gaskin Australia 10 239 1.1× 261 1.5× 53 1.0× 12 0.3× 7 0.9× 21 375
Kirstie Baker United States 4 141 0.6× 110 0.6× 54 1.0× 11 0.3× 2 0.3× 5 188
Mandeep Dhalla United States 7 263 1.2× 195 1.1× 35 0.7× 9 0.3× 3 0.4× 9 287
Zeb Burke-Conte United States 4 119 0.5× 92 0.5× 40 0.8× 18 0.5× 3 0.4× 4 156
Margherita Casciano Italy 5 373 1.7× 275 1.6× 60 1.2× 28 0.8× 2 0.3× 7 383
Pedro Melo Portugal 8 228 1.0× 172 1.0× 31 0.6× 12 0.3× 1 0.1× 12 247
Young Ju Lew South Korea 11 326 1.4× 250 1.4× 23 0.4× 11 0.3× 3 0.4× 35 335
Naoya Yoshihara Japan 12 329 1.5× 266 1.5× 21 0.4× 92 2.6× 3 0.4× 29 366
Ruka Maruko Japan 10 250 1.1× 171 1.0× 25 0.5× 8 0.2× 1 0.1× 16 276

Countries citing papers authored by Rose Tan

Since Specialization
Citations

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

Fields of papers citing papers by Rose Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rose Tan

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

All Works

18 of 18 papers shown
1.
Cao, Dan, Rose Tan, Farah Ibrahim, et al.. (2025). Retinal Neuronal Changes and Kidney Dysfunction in Diabetes Mellitus. Clinical and Experimental Ophthalmology. 53(9). 1168–1180. 1 indexed citations
3.
Tan, Rose, et al.. (2025). Doppler-Guided Haemorrhoidal Artery Ligation and Rectoanal Repair (HAL-RAR): An Institutional Experience. Journal of Clinical Medicine. 14(15). 5397–5397.
4.
Tan, Rose, et al.. (2025). Colonic complications in acute pancreatitis: management experience from a single institution. International Surgery Journal. 12(5). 773–778.
5.
Chua, Jacqueline, Damon Wing Kee Wong, Simon Nusinovici, et al.. (2024). Ocular microvascular complications in diabetic retinopathy: insights from machine learning. BMJ Open Diabetes Research & Care. 12(1). e003758–e003758. 17 indexed citations
6.
Tan, Rose, Kelvin Yi Chong Teo, Rahat Husain, et al.. (2023). Evaluating the outcome of screening for glaucoma using colour fundus photography-based referral criteria in a teleophthalmology screening programme for diabetic retinopathy. British Journal of Ophthalmology. 108(7). 933–939. 3 indexed citations
7.
Tan, Bingyao, Nicole-Ann Lim, Rose Tan, et al.. (2022). Combining retinal and choroidal microvascular metrics improves discriminative power for diabetic retinopathy. British Journal of Ophthalmology. 107(7). 993–999. 24 indexed citations
8.
Tsoh, Janice Y., Alice Guan, Rose Tan, et al.. (2022). Engaging Asian American Communities During the COVID-19 Era Tainted With Anti-Asian Hate and Distrust. American Journal of Public Health. 112(S9). S864–S868. 4 indexed citations
9.
Guymer, Robyn H., Rose Tan, & Chi D. Luu. (2021). Comparison of Visual Function Tests in Intermediate Age-Related Macular Degeneration. Translational Vision Science & Technology. 10(12). 14–14. 10 indexed citations
10.
McGuinness, Myra B., et al.. (2020). Relationship Between Rod-Mediated Sensitivity, Low-Luminance Visual Acuity, and Night Vision Questionnaire in Age-Related Macular Degeneration. Translational Vision Science & Technology. 9(6). 30–30. 6 indexed citations
11.
Tan, Rose, et al.. (2019). Longitudinal Assessment of Rod Function in Intermediate Age-Related Macular Degeneration With and Without Reticular Pseudodrusen. Investigative Ophthalmology & Visual Science. 60(5). 1511–1511. 32 indexed citations
12.
Luu, Chi D., Rose Tan, Emily Caruso, Erica L. Fletcher, & Robyn H. Guymer. (2018). Topographic rod functional recovery profiles after prolonged dark-adaptation in eyes with reticular pseudodrusen. Investigative Ophthalmology & Visual Science. 59(9). 2411–2411. 1 indexed citations
13.
Luu, Chi D., Rose Tan, Emily Caruso, et al.. (2018). Topographic Rod Recovery Profiles after a Prolonged Dark Adaptation in Subjects with Reticular Pseudodrusen. Ophthalmology Retina. 2(12). 1206–1217. 21 indexed citations
14.
Tan, Rose, Robyn H. Guymer, & Chi D. Luu. (2018). Repeatability of Retinal Sensitivity Measurements Using a Medmont Dark-Adapted Chromatic Perimeter in Healthy and Age-Related Macular Degeneration Cases. Translational Vision Science & Technology. 7(3). 3–3. 11 indexed citations
15.
Tan, Rose, et al.. (2018). Longitudinal Changes in Retinotopic Rod Function in Intermediate Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 59(4). AMD19–AMD19. 24 indexed citations
16.
Tan, Rose, Robyn H. Guymer, & Chi D. Luu. (2018). Subretinal Drusenoid Deposits and the Loss of Rod Function in Intermediate Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 59(10). 4154–4154. 30 indexed citations
17.
Charng, Jason, Rose Tan, Chi D. Luu, et al.. (2017). Imaging Lenticular Autofluorescence in Older Subjects. Investigative Ophthalmology & Visual Science. 58(12). 4940–4940. 10 indexed citations
18.
Tan, Rose, et al.. (2016). Assessment of Retinotopic Rod Photoreceptor Function Using a Dark-Adapted Chromatic Perimeter in Intermediate Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 57(13). 5436–5436. 52 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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