Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Primary Open-Angle Glaucoma
2009669 citationsYoung H. Kwon, John H. Fingert et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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This map shows the geographic impact of Young H. Kwon'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 Young H. Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young H. Kwon more than expected).
This network shows the impact of papers produced by Young H. Kwon. 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 Young H. Kwon. The network helps show where Young H. Kwon may publish in the future.
Co-authorship network of co-authors of Young H. Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Young H. Kwon.
A scholar is included among the top collaborators of Young H. Kwon 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 Young H. Kwon. Young H. Kwon is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Garvin, Mona K., Kyungmoo Lee, Trudy L. Burns, et al.. (2013). Reproducibility of SD-OCT-Based Ganglion-Cell-Complex-Layer Thickness in Early Glaucoma using Commercial and Custom Segmentation Algorithms. Investigative Ophthalmology & Visual Science. 54(15). 88–88.3 indexed citations
5.
Tang, Li, Mona K. Garvin, Young H. Kwon, & Michael D. Abràmoff. (2012). Segmentation of Optic Nerve Head Rim in Color Fundus Photographs by Probability Based Active Shape Model. Investigative Ophthalmology & Visual Science. 53(14). 2144–2144.3 indexed citations
Tang, Li, Young H. Kwon, Wallace L.M. Alward, et al.. (2010). Automated Measurement of Optic Nerve Head Shape From Stereo Color Photographs of the Optic Disc: Validation With SD-OCT. Investigative Ophthalmology & Visual Science. 51(13). 1774–1774.1 indexed citations
8.
Dumitrescu, Alina V., James P. Bertram, Jackie K. Jens, et al.. (2010). In-vivo Characterization of Sustained Release Timolol Microspheres. Investigative Ophthalmology & Visual Science. 51(13). 3166–3166.1 indexed citations
9.
Ts’o, Daniel Y., Jesse Schallek, Randy H. Kardon, et al.. (2009). Hemodynamic Components Contribute to Intrinsic Signals of the Retina and Optic Disc. Investigative Ophthalmology & Visual Science. 50(13). 4322–4322.1 indexed citations
10.
Kuehn, Markus H., Alina V. Dumitrescu, Robert J. Ryan, & Young H. Kwon. (2009). Accumulation of Complement Components in the Glaucomatous Human Optic Nerve. Investigative Ophthalmology & Visual Science. 50(13). 4319–4319.1 indexed citations
11.
Garvin, Mona K., Milan Sonka, Randy H. Kardon, et al.. (2008). Three-Dimensional Analysis of SD OCT: Thickness Assessment of Six Macular Layers in Normal Subjects. Investigative Ophthalmology & Visual Science. 49(13). 1879–1879.2 indexed citations
12.
Sakaguchi, Donald S., Matthew M. Harper, Bas Blits, et al.. (2007). Preservation of Visual Function After Intraocular Transplantation of BDNF Secreting Mesenchymal Stem Cells in Glaucomatous Rat Eyes. Investigative Ophthalmology & Visual Science. 48(13). 1303–1303.1 indexed citations
13.
Kuehn, Markus H., et al.. (2006). Laser Capture Microdissection and Microarray Analysis of the Human Retinal Ganglion Cell Layer. Investigative Ophthalmology & Visual Science. 47(13). 410–410.1 indexed citations
14.
Pramanik, Sudeep, Kenneth M. Goins, John E. Sutphin, et al.. (2006). Evaluation Of Changes In Intraocular Pressure And Incidence Of Glaucoma Following Endothelial Keratoplasty. Investigative Ophthalmology & Visual Science. 47(13). 3600–3600.1 indexed citations
15.
Doan, Andrew, M. Bridget Zimmerman, Wallace L.M. Alward, Emily C. Greenlee, & Young H. Kwon. (2005). Diurnal Fluctuation and Concordance of Intraocular Pressure in Glaucoma Suspects and Ocular Hypertension Patients. Investigative Ophthalmology & Visual Science. 46(13). 4833–4833.1 indexed citations
16.
Ts’o, Daniel Y., Mark D. Zarella, Jesse Schallek, et al.. (2005). The Origins of Stimulus Dependent Intrinsic Optical Signals of the Retina. Investigative Ophthalmology & Visual Science. 46(13). 2258–2258.2 indexed citations
17.
Kuehn, Markus H., et al.. (2005). Comparative Analysis of Optic Nerve Head Gene Expression Changes in Human Glaucoma and in Rodent Models of Ocular Hypertension. Investigative Ophthalmology & Visual Science. 46(13). 44–44.2 indexed citations
18.
Grozdanić, Siniša D., Jelena Ostojić, Nasreen A. Syed, et al.. (2004). Neuroglobin and Histoglobin (cytoglobin) – New hexacoordinate globins in the human eye. Investigative Ophthalmology & Visual Science. 45(13). 2586–2586.1 indexed citations
19.
Grozdanić, Siniša D., Young H. Kwon, Daniel M. Betts, et al.. (2003). Laser-induced Mouse Model of Chronic Ocular Hypertension – A New Model for Glaucoma Studies. Investigative Ophthalmology & Visual Science. 44(13). 3334–3334.13 indexed citations
20.
Ts’o, Daniel Y., et al.. (2003). Intrinsic Signal Optical Imaging of Retinal Responses to Patterned Stimuli. Investigative Ophthalmology & Visual Science. 44(13). 2709–2709.6 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.