Jung‐Yeul Kim

2.8k total citations
150 papers, 2.0k citations indexed

About

Jung‐Yeul Kim is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Jung‐Yeul Kim has authored 150 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Ophthalmology, 99 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Biomedical Engineering. Recurrent topics in Jung‐Yeul Kim's work include Retinal Diseases and Treatments (80 papers), Glaucoma and retinal disorders (80 papers) and Retinal Imaging and Analysis (55 papers). Jung‐Yeul Kim is often cited by papers focused on Retinal Diseases and Treatments (80 papers), Glaucoma and retinal disorders (80 papers) and Retinal Imaging and Analysis (55 papers). Jung‐Yeul Kim collaborates with scholars based in South Korea, Puerto Rico and United States. Jung‐Yeul Kim's co-authors include Young–Joon Jo, Hyung‐Bin Lim, Min‐Woo Lee, Ki Yup Nam, Yong‐Il Shin, Hyung Bin Lim, Young Joon Jo, Woo Hyuk Lee, Min Woo Lee and Sung Bok Lee and has published in prestigious journals such as PLoS ONE, Diabetes and Journal of Agricultural and Food Chemistry.

In The Last Decade

Jung‐Yeul Kim

139 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung‐Yeul Kim South Korea 28 1.7k 1.4k 138 136 105 150 2.0k
Carlos Gustavo De Moraes United States 27 1.9k 1.1× 1.6k 1.1× 117 0.8× 52 0.4× 156 1.5× 104 2.2k
Carlos Gustavo De Moraes United States 31 2.5k 1.4× 1.9k 1.4× 123 0.9× 128 0.9× 246 2.3× 116 2.8k
Yih‐Shiou Hwang Taiwan 21 1.1k 0.6× 1.1k 0.8× 201 1.5× 123 0.9× 138 1.3× 116 1.7k
Niklas Plange Germany 20 967 0.6× 769 0.5× 100 0.7× 98 0.7× 162 1.5× 89 1.4k
Andreas Remky Germany 27 1.3k 0.8× 837 0.6× 147 1.1× 137 1.0× 211 2.0× 91 1.7k
Miyuki Nagahara Japan 23 958 0.6× 552 0.4× 63 0.5× 94 0.7× 169 1.6× 66 1.4k
Daniele Tognetto Italy 22 1.5k 0.9× 1.2k 0.8× 394 2.9× 129 0.9× 103 1.0× 121 1.6k
Luiz Alberto S. Melo Brazil 18 1.2k 0.7× 828 0.6× 63 0.5× 50 0.4× 179 1.7× 48 1.4k
Michael Stur Austria 23 1.4k 0.8× 944 0.7× 157 1.1× 72 0.5× 278 2.6× 82 1.7k
Guido Ripandelli Italy 22 1.4k 0.8× 1.2k 0.9× 126 0.9× 341 2.5× 183 1.7× 86 1.6k

Countries citing papers authored by Jung‐Yeul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jung‐Yeul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung‐Yeul Kim. 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 Jung‐Yeul Kim. The network helps show where Jung‐Yeul Kim may publish in the future.

Co-authorship network of co-authors of Jung‐Yeul Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jung‐Yeul Kim. A scholar is included among the top collaborators of Jung‐Yeul Kim 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 Jung‐Yeul Kim. Jung‐Yeul Kim 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.
Lim, Hyung‐Bin, et al.. (2023). Analyses of the ratio of ganglion cell-inner plexiform layer thickness to vessel density according to age in healthy eyes. PLoS ONE. 18(10). e0292942–e0292942. 1 indexed citations
2.
Kim, Tae-Yeon, et al.. (2022). The impairment of the deep vascular complex in prolonged type 2 diabetes patients without clinical diabetic retinopathy. PLoS ONE. 17(6). e0269182–e0269182. 4 indexed citations
3.
Lee, Min‐Woo, et al.. (2022). Superficial capillary plexus vessel density/deep capillary plexus vessel density ratio in healthy eyes. BMC Ophthalmology. 22(1). 482–482. 9 indexed citations
4.
Lee, Min‐Woo, et al.. (2022). The Weiss Ring, a Major Confounding Factor For Measurements of Peripapillary Retinal Nerve Fiber Layer Thickness. American Journal of Ophthalmology. 238. 134–140. 1 indexed citations
5.
Lee, Min‐Woo, et al.. (2022). Peripapillary RNFL/vessel density ratio in patients with type2 diabetes without clinical diabetic retinopathy. Scientific Reports. 12(1). 9463–9463. 3 indexed citations
7.
Lee, Woo Hyuk, et al.. (2021). Retinal nerve fibre layer/ganglion cell‐inner plexiform layer thickness ratio in patients with systemic hypertension. Acta Ophthalmologica. 100(1). e150–e156. 3 indexed citations
8.
Lim, Hyung Bin, Yong‐Il Shin, Min Woo Lee, et al.. (2020). Association of Myopia with Peripapillary Retinal Nerve Fiber Layer Thickness in Diabetic Patients Without Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 61(10). 30–30. 8 indexed citations
9.
Lee, Seong Eun, et al.. (2020). Characteristics of the inner retinal layer in the fellow eyes of patients with unilateral exudative age-related macular degeneration. PLoS ONE. 15(9). e0239555–e0239555. 5 indexed citations
10.
Lee, Min‐Woo, et al.. (2020). Repeatability of measuring the vessel density in patients with retinal vein occlusion: An optical coherence tomography angiography study. PLoS ONE. 15(6). e0234933–e0234933. 12 indexed citations
11.
Kim, Jung‐Yeul, et al.. (2019). Comparison of visual outcome between intravitreal gas injection with t-PA and intravitreal anti-VEGF injection as an initial treatment for submacular hemorrhage associated with ARMD.. Investigative Ophthalmology & Visual Science. 60(9). 1176–1176. 1 indexed citations
12.
Nam, Ki Yup & Jung‐Yeul Kim. (2019). Serous Retinal Detachment Causes a Transient Reduction on Spectral Domain OCT Estimates of Ganglion Cell Layer Thickness. Optometry and Vision Science. 96(3). 156–163. 4 indexed citations
13.
Kim, Kyoung Nam, et al.. (2018). Effects of Measurement Center Shift on Ganglion Cell–inner Plexiform Layer Thickness Measurements. Optometry and Vision Science. 95(8). 656–662. 1 indexed citations
14.
Lim, Hyung Bin, Woo Hyuk Lee, Young Joon Jo, & Jung‐Yeul Kim. (2018). Interocular Asymmetry of the Ganglion Cell–inner Plexiform Layer in Diabetic Retinopathy. Optometry and Vision Science. 95(7). 594–601. 5 indexed citations
15.
Kim, Chang Sik, et al.. (2015). Changes in Axial Length and Refractive Error After Noninvasive Normalization of Intraocular Pressure From Elevated Levels. American Journal of Ophthalmology. 163. 132–139.e2. 15 indexed citations
16.
Kim, Chang Sik, Kyungsup Shin, Haeng‐Jin Lee, Young–Joon Jo, & Jung‐Yeul Kim. (2013). SECTORAL RETINAL NERVE FIBER LAYER THINNING IN BRANCH RETINAL VEIN OCCLUSION. Retina. 34(3). 525–530. 42 indexed citations
17.
Kim, Jung‐Yeul, et al.. (2012). SMI Innovations Project in Pennsylvania: Final Evaluation Report. Mathematica Policy Research Reports. 2 indexed citations
18.
Kim, Jung‐Yeul, et al.. (2007). A Case of Ophthalmic Artery Occlusion in Moyamoya Disease.. Journal of the Korean Ophthalmological Society. 48(6). 849–853. 2 indexed citations
19.
Kim, Myung‐Hoon, et al.. (2007). Electrochemical characteristics of Si/Mo multilayer anode for Li ion batteries. Revista Mexicana de Física. 53(1). 17–20. 3 indexed citations
20.
Lee, Jong‐Hyun, et al.. (2000). Effects of hydrogen plasma pretreatment on characteristics of copper film deposited by remote plasma CVD using (hfac)Cu(TMVS). Thin Solid Films. 375(1-2). 132–136. 12 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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