James C. Tan

2.0k total citations
53 papers, 1.2k citations indexed

About

James C. Tan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, James C. Tan has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ophthalmology, 26 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Molecular Biology. Recurrent topics in James C. Tan's work include Glaucoma and retinal disorders (38 papers), Corneal surgery and disorders (18 papers) and Retinal Diseases and Treatments (17 papers). James C. Tan is often cited by papers focused on Glaucoma and retinal disorders (38 papers), Corneal surgery and disorders (18 papers) and Retinal Diseases and Treatments (17 papers). James C. Tan collaborates with scholars based in United States, United Kingdom and Australia. James C. Tan's co-authors include José M. González, Roger A. Hitchings, Hubert Serve, Laura Sepp‐Lorenzino, Peter Besmer, Nelson S. Yee, Giulia Maria Stella, MinHee K. Ko, Paul L. Kaufman and Donna M. Peters and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Scientific Reports.

In The Last Decade

James C. Tan

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James C. Tan United States 22 776 517 273 123 123 53 1.2k
Noriyuki Azuma Japan 28 783 1.0× 784 1.5× 1.5k 5.4× 215 1.7× 83 0.7× 139 2.6k
Nobuhiko Matsuo Japan 21 575 0.7× 279 0.5× 497 1.8× 87 0.7× 35 0.3× 76 1.2k
Robyn V. Jamieson Australia 27 616 0.8× 336 0.6× 1.3k 4.7× 229 1.9× 53 0.4× 88 2.1k
John R.W. Yates United Kingdom 19 322 0.4× 233 0.5× 802 2.9× 171 1.4× 90 0.7× 30 1.7k
Rahat Perveen United Kingdom 18 444 0.6× 266 0.5× 965 3.5× 209 1.7× 205 1.7× 30 1.6k
Martin Gliem Germany 24 846 1.1× 392 0.8× 957 3.5× 280 2.3× 32 0.3× 62 1.6k
Saskia D. van der Velde-Visser Netherlands 15 350 0.5× 134 0.3× 874 3.2× 173 1.4× 72 0.6× 17 1.0k
Muhammad Imran Khan Netherlands 20 496 0.6× 151 0.3× 663 2.4× 90 0.7× 39 0.3× 66 1.0k
Heide Hellebrand Germany 16 201 0.3× 71 0.1× 1.2k 4.5× 239 1.9× 123 1.0× 21 1.7k
Sarah Hull United Kingdom 22 413 0.5× 146 0.3× 812 3.0× 147 1.2× 18 0.1× 44 1.1k

Countries citing papers authored by James C. Tan

Since Specialization
Citations

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

Fields of papers citing papers by James C. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James C. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of James C. Tan. A scholar is included among the top collaborators of James C. 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 James C. Tan. James C. 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.
Itakura, Tatsuo, Andrew R. Webster, Shravan K. Chintala, et al.. (2019). GPR158 in the Visual System: Homeostatic Role in Regulation of Intraocular Pressure. Journal of Ocular Pharmacology and Therapeutics. 35(4). 203–215. 6 indexed citations
2.
Ko, MinHee K., et al.. (2017). Total Outflow Facility in Live C57BL/6 Mice of Different Age. PubMed. 2(3). 1–10. 6 indexed citations
3.
González, José M., et al.. (2016). Tissue-based multiphoton analysis of actomyosin and structural responses in human trabecular meshwork. Scientific Reports. 6(1). 21315–21315. 17 indexed citations
4.
Saraswathy, Sindhu, James C. Tan, Fei Yu, et al.. (2016). Aqueous Angiography: Real-Time and Physiologic Aqueous Humor Outflow Imaging. PLoS ONE. 11(1). e0147176–e0147176. 51 indexed citations
5.
Ko, MinHee K., Eun Kyoung Kim, José M. González, & James C. Tan. (2016). Dose- and time-dependent effects of actomyosin inhibition on live mouse outflow resistance and aqueous drainage tissues. Scientific Reports. 6(1). 21492–21492. 10 indexed citations
6.
Tan, James C., et al.. (2015). Mapping abnormal elastin maintenance in the human trabecular meshwork. Investigative Ophthalmology & Visual Science. 56(7). 3299–3299. 1 indexed citations
7.
Ko, MinHee K. & James C. Tan. (2015). In vivo RhoA activation increases trabecular meshwork contraction and decreases outflow facility. Investigative Ophthalmology & Visual Science. 56(7). 3287–3287. 1 indexed citations
8.
Tan, James C., et al.. (2014). Tissue-based caldesmon silencing by naked siRNA increases F-actin in the human trabecular meshwork. Investigative Ophthalmology & Visual Science. 55(13). 5653–5653. 3 indexed citations
9.
Chopra, Vikás, et al.. (2014). Novel Venting Stitch Technique in Controlling Postoperative Intraocular Pressure in Baerveldt Glaucoma Implants. Investigative Ophthalmology & Visual Science. 55(13). 3187–3187. 1 indexed citations
10.
Kim, Eun Kyoung & James C. Tan. (2014). Simulating anterior chamber aqueous exchange and drug delivery by single needle perfusion in mice. Investigative Ophthalmology & Visual Science. 55(13). 5275–5275. 1 indexed citations
11.
Chu, Edward R., José M. González, & James C. Tan. (2014). Tissue-Based Imaging Model of Human Trabecular Meshwork. Journal of Ocular Pharmacology and Therapeutics. 30(2-3). 191–201. 12 indexed citations
12.
Huang, Alex S., José M. González, Phuc Van Le, Martin Heur, & James C. Tan. (2013). Sources of Structural Autofluorescence in the Human Trabecular Meshwork. Investigative Ophthalmology & Visual Science. 54(7). 4813–4813. 17 indexed citations
13.
González, José M., Martin Heur, & James C. Tan. (2012). Two-Photon Immunofluorescence Characterization of the Trabecular Meshwork In Situ. Investigative Ophthalmology & Visual Science. 53(7). 3395–3395. 32 indexed citations
14.
Tan, James C., Donna M. Peters, & Paul L. Kaufman. (2006). Recent developments in understanding the pathophysiology of elevated intraocular pressure.. PubMed. 17(2). 168–74. 93 indexed citations
15.
Tan, James C. & Roger A. Hitchings. (2004). Reversal of Disc Cupping after Intraocular Pressure Reduction in Topographic Image Series. Journal of Glaucoma. 13(5). 351–355. 22 indexed citations
16.
Tan, James C., et al.. (2004). Validity of Rim Area Measurements by Different Reference Planes. Journal of Glaucoma. 13(3). 245–250. 6 indexed citations
17.
Tan, James C., et al.. (2004). Magnification Changes in Scanning Laser Tomography. Journal of Glaucoma. 13(2). 137–141. 8 indexed citations
18.
Tan, James C. & Roger A. Hitchings. (2003). Approach for Identifying Glaucomatous Optic Nerve Progression by Scanning Laser Tomography. Investigative Ophthalmology & Visual Science. 44(6). 2621–2621. 25 indexed citations
19.
Tan, James C.. (2001). Capsulotomy. Current Opinion in Ophthalmology. 12(1). 82–85. 1 indexed citations
20.
Tan, James C., David J. Spalton, & G. B. Arden. (1998). Comparison of methods to assess visual impairment from glare and light scattering with posterior capsule opacification. Journal of Cataract & Refractive Surgery. 24(12). 1626–1631. 33 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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