Jacqueline Tan

1.3k total citations
49 papers, 869 citations indexed

About

Jacqueline Tan is a scholar working on Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Jacqueline Tan has authored 49 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Public Health, Environmental and Occupational Health, 25 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Ophthalmology. Recurrent topics in Jacqueline Tan's work include Ocular Surface and Contact Lens (43 papers), Corneal Surgery and Treatments (16 papers) and Corneal surgery and disorders (16 papers). Jacqueline Tan is often cited by papers focused on Ocular Surface and Contact Lens (43 papers), Corneal Surgery and Treatments (16 papers) and Corneal surgery and disorders (16 papers). Jacqueline Tan collaborates with scholars based in Australia, United States and Singapore. Jacqueline Tan's co-authors include Fiona Stapleton, Ajay Kumar Vijay, Mark Willcox, Pete Kollbaum, Nicole Carnt, Meredith E. Jansen, Dawn Meyer, Martin E. Rickert, Craig A. Woods and Eric Papas and has published in prestigious journals such as BMJ, Investigative Ophthalmology & Visual Science and British Journal of Ophthalmology.

In The Last Decade

Jacqueline Tan

46 papers receiving 846 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacqueline Tan Australia 17 634 498 355 208 97 49 869
Nancy Keir Canada 15 676 1.1× 408 0.8× 335 0.9× 118 0.6× 117 1.2× 38 779
Carlos García‐Resúa Spain 16 398 0.6× 350 0.7× 396 1.1× 101 0.5× 60 0.6× 60 644
Cristina M. Schnider United States 14 671 1.1× 423 0.8× 359 1.0× 135 0.6× 130 1.3× 38 870
Andrew D. Pucker United States 19 918 1.4× 517 1.0× 433 1.2× 116 0.6× 152 1.6× 62 1.1k
José‐María Sánchez‐González Spain 15 334 0.5× 425 0.9× 346 1.0× 187 0.9× 55 0.6× 103 710
Francisco J. Garcia-Ferrer United States 13 320 0.5× 424 0.9× 586 1.7× 305 1.5× 92 0.9× 19 853
Michelle K. Rhee United States 16 559 0.9× 278 0.6× 486 1.4× 73 0.4× 181 1.9× 36 913
Rashmi Deshmukh India 17 504 0.8× 610 1.2× 607 1.7× 79 0.4× 52 0.5× 48 1.0k
Hiroshi Toshida Japan 16 496 0.8× 292 0.6× 503 1.4× 107 0.5× 53 0.5× 62 826
Adrian S. Bruce Australia 17 899 1.4× 604 1.2× 487 1.4× 125 0.6× 96 1.0× 49 1.0k

Countries citing papers authored by Jacqueline Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Tan. A scholar is included among the top collaborators of Jacqueline 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 Jacqueline Tan. Jacqueline 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.
2.
Stapleton, Fiona, et al.. (2024). Meibomian Gland Shortening Is Associated With Altered Meibum Composition. Investigative Ophthalmology & Visual Science. 65(8). 49–49. 1 indexed citations
3.
4.
Stapleton, Fiona, et al.. (2024). Comparison of eye drop retention time using fluorophotometry in three commercially available lubricant eye drops. Optometry and Vision Science. 101(9). 603–607. 3 indexed citations
5.
Tan, Jacqueline, et al.. (2024). Changes in corneal epithelial irregularity following treatment with artificial tears. Optometry and Vision Science. 101(9). 608–613. 1 indexed citations
6.
Jones, Lyndon, Nathan Efron, Melissa Barnett, et al.. (2023). TFOS Lifestyle: Impact of contact lenses on the ocular surface. The Ocular Surface. 29. 175–219. 35 indexed citations
7.
Watson, Stephanie L., Lyndon Jones, Fiona Stapleton, et al.. (2023). Efficacy and safety of AZR-MD-001 selenium sulfide ophthalmic ointment in adults with meibomian gland dysfunction: A vehicle-controlled, randomized clinical trial. The Ocular Surface. 29. 537–546. 11 indexed citations
8.
Stapleton, Fiona, et al.. (2021). The effect of a novel selenium disulphide-containing treatment on ocular signs and symptoms in symptomatic contact lens wearers: An exploratory study. Investigative Ophthalmology & Visual Science. 62(8). 1259–1259. 1 indexed citations
9.
Carnt, Nicole, et al.. (2021). Effect of Water Exposure on Contact Lens Storage Case Contamination in Soft Lens Wearers. Optometry and Vision Science. 98(9). 1002–1010. 3 indexed citations
10.
Stapleton, Fiona, May M. Bakkar, Nicole Carnt, et al.. (2021). BCLA CLEAR - Contact lens complications. Contact Lens and Anterior Eye. 44(2). 330–367. 70 indexed citations
11.
Tan, Jacqueline, et al.. (2021). Factors Affecting Microbial Contamination on the Back Surface of Worn Soft Contact Lenses. Optometry and Vision Science. 98(5). 512–517. 7 indexed citations
12.
Craig, Jennifer P., Alex Müntz, Michael T.M. Wang, et al.. (2021). Developing evidence-based guidance for the treatment of dry eye disease with artificial tear supplements: A six-month multicentre, double-masked randomised controlled trial. The Ocular Surface. 20. 62–69. 43 indexed citations
13.
Carnt, Nicole, et al.. (2020). Compliance behaviour change in contact lens wearers: a randomised controlled trial. Eye. 35(3). 988–995. 22 indexed citations
14.
Aragona, Pasquale, Jose Benitez-del-Castillo, Minas T. Coroneo, et al.. (2020). <p>Safety and Efficacy of a Preservative-Free Artificial Tear Containing Carboxymethylcellulose and Hyaluronic Acid for Dry Eye Disease: A Randomized, Controlled, Multicenter 3-Month Study</p>. Clinical ophthalmology. Volume 14. 2951–2963. 16 indexed citations
15.
Downie, Laura E., Milton M. Hom, Gregg J. Berdy, et al.. (2019). An artificial tear containing flaxseed oil for treating dry eye disease: A randomized controlled trial. The Ocular Surface. 18(1). 148–157. 21 indexed citations
16.
Tan, Jacqueline, et al.. (2018). Predictive Potential of Eyelids and Tear Film in Determining Symptoms in Contact Lens Wearers. Optometry and Vision Science. 95(11). 1035–1045. 16 indexed citations
17.
Vijay, Ajay Kumar, et al.. (2017). The eyelids and tear film in contact lens discomfort. Contact Lens and Anterior Eye. 41(2). 144–153. 41 indexed citations
18.
Kollbaum, Pete, Meredith E. Jansen, Jacqueline Tan, Dawn Meyer, & Martin E. Rickert. (2013). Vision Performance With a Contact Lens Designed to Slow Myopia Progression. Optometry and Vision Science. 90(3). 205–214. 80 indexed citations
19.
Tan, Jacqueline, et al.. (2003). Mucin Balls with Wear of Conventional and Silicone Hydrogel Contact Lenses. Optometry and Vision Science. 80(4). 291–297. 27 indexed citations
20.
Papas, Eric, et al.. (2003). Does the Quality of Vision Affect the Perception of Ocular Discomfort. Investigative Ophthalmology & Visual Science. 44(13). 3694–3694. 10 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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