Chaesik Kim

1.6k total citations
40 papers, 1.2k citations indexed

About

Chaesik Kim is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chaesik Kim has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Ophthalmology, 21 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chaesik Kim's work include Glaucoma and retinal disorders (27 papers), Corneal surgery and disorders (14 papers) and Retinal Diseases and Treatments (12 papers). Chaesik Kim is often cited by papers focused on Glaucoma and retinal disorders (27 papers), Corneal surgery and disorders (14 papers) and Retinal Diseases and Treatments (12 papers). Chaesik Kim collaborates with scholars based in United States, Canada and Germany. Chaesik Kim's co-authors include Mark S. Juzych, Dong‐Ho Shin, Robert N. Frank, Eitan Z. Rath, Bret A. Hughes, Michael R. Banitt, Vikás Chopra, Gary W. Abrams, Dong Ho Shin and Gabriel Sosne and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Biochemical Sciences and Ophthalmology.

In The Last Decade

Chaesik Kim

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaesik Kim United States 14 847 500 278 114 109 40 1.2k
Alexandra Lappas Germany 18 920 1.1× 585 1.2× 359 1.3× 82 0.7× 60 0.6× 55 1.2k
Shida Chen China 22 1.1k 1.3× 716 1.4× 298 1.1× 86 0.8× 86 0.8× 109 1.4k
Farzin Forooghian Canada 28 2.2k 2.5× 1.1k 2.2× 447 1.6× 136 1.2× 68 0.6× 80 2.6k
Marianne Berdugo France 19 774 0.9× 490 1.0× 528 1.9× 29 0.3× 88 0.8× 33 1.4k
Moin Mohamed United Kingdom 19 650 0.8× 447 0.9× 562 2.0× 38 0.3× 34 0.3× 36 1.2k
G. Calabria Italy 20 778 0.9× 592 1.2× 255 0.9× 88 0.8× 532 4.9× 77 1.4k
Scott D. Walter United States 10 632 0.7× 225 0.5× 124 0.4× 142 1.2× 138 1.3× 32 844
Carol A. Rasmussen United States 19 594 0.7× 275 0.6× 484 1.7× 77 0.7× 111 1.0× 50 951
Emanuela Aragona Italy 21 827 1.0× 583 1.2× 320 1.2× 20 0.2× 138 1.3× 93 1.2k
David Hollander United States 26 1.4k 1.6× 838 1.7× 173 0.6× 73 0.6× 660 6.1× 88 1.8k

Countries citing papers authored by Chaesik Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chaesik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaesik Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chaesik Kim. A scholar is included among the top collaborators of Chaesik 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 Chaesik Kim. Chaesik 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.
Kim, Chaesik, et al.. (2022). Analysis of ophthalmology subspecialty opioid prescribing patterns during the opioid public health crisis. Canadian Journal of Ophthalmology. 59(1). e16–e21. 2 indexed citations
2.
Nassiri, Nariman, et al.. (2022). Factors Associated with 5-year Glaucomatous Progression in Glaucoma Suspect Eyes: A Retrospective Longitudinal Study. JOURNAL OF CURRENT GLAUCOMA PRACTICE. 16(1). 11–16. 2 indexed citations
3.
Hall, Leo M., et al.. (2021). The Vision Detroit Project: Visual Burden, Barriers, and Access to Eye Care in an Urban Setting. Ophthalmic Epidemiology. 29(1). 13–24. 19 indexed citations
4.
Kim, Chaesik, et al.. (2018). Factors associated with conjunctival erosions after ahmed glaucoma valve implantation. Journal of Ophthalmic and Vision Research. 13(4). 411–411. 5 indexed citations
5.
Kanwar, Mamta, et al.. (2018). Progression of Glaucoma in Patients of Low and High Socioeconomic Status and Various Age Groups. Investigative Ophthalmology & Visual Science. 59(9). 2734–2734.
6.
Hughes, Bret A., et al.. (2016). Gonioscopy Practice Patterns. Investigative Ophthalmology & Visual Science. 57(12). 2598–2598. 2 indexed citations
7.
Siegel, Michael J., et al.. (2015). Combined endoscopic cyclophotocoagulation and phacoemulsification versus phacoemulsification alone in the treatment of mild to moderate glaucoma. Clinical and Experimental Ophthalmology. 43(6). 531–539. 65 indexed citations
8.
Sosne, Gabriel, Chaesik Kim, & Hynda K. Kleinman. (2015). Thymosin β4 significantly reduces the signs of dryness in a murine controlled adverse environment model of experimental dry eye. Expert Opinion on Biological Therapy. 15(sup1). 155–161. 14 indexed citations
9.
Hughes, Bret A., et al.. (2014). Evaluation of Keratometry Measurements by IOL Master with Variable Degrees of Eccentric Fixation. Investigative Ophthalmology & Visual Science. 55(13). 2557–2557. 1 indexed citations
10.
Hughes, Bret A., et al.. (2014). Impact of Glaucoma Type on the Success of Transscleral Diode Laser Cyclophotocoagulation in the Treatment of Refractory Glaucoma. Investigative Ophthalmology & Visual Science. 55(13). 6166–6166. 1 indexed citations
11.
Hughes, Bret A., et al.. (2013). Predictors of Failure with Transscleral Diode Laser Cyclophotocoagulation in the Treatment of Refractory Glaucoma. Investigative Ophthalmology & Visual Science. 54(15). 1858–1858. 2 indexed citations
12.
Hughes, Bret A., et al.. (2013). Assessing the Reliability of Humphrey Visual Field Testing in an Urban Population. Investigative Ophthalmology & Visual Science. 54(15). 3920–3920. 8 indexed citations
13.
Juzych, Mark S., Vikás Chopra, Michael R. Banitt, et al.. (2004). Comparison of long-term outcomes of selective laser trabeculoplasty versus argon laser trabeculoplasty in open-angle glaucoma. Ophthalmology. 111(10). 1853–1859. 175 indexed citations
14.
Kim, Chaesik. (2003). SAM domains: uniform structure, diversity of function. Trends in Biochemical Sciences. 28(12). 625–628. 226 indexed citations
15.
Shin, Dong Hoon, et al.. (2001). Topical Verapamil in Glaucoma Filtration Surgery. Journal of Glaucoma. 10(3). 211–214. 6 indexed citations
16.
Ren, Jianming, Dong‐Ho Shin, Hak Sung Chung, et al.. (1999). Efficacy of apraclonidine 1% versus pilocarpine 4% for prophylaxis of intraocular pressure spike after argon laser trabeculoplasty. Ophthalmology. 106(6). 1135–1139. 5 indexed citations
17.
18.
Shin, Dong‐Ho, et al.. (1998). Decrease of capsular opacification with adjunctive mitomycin C in combined glaucoma and cataract surgery. Ophthalmology. 105(7). 1222–1226. 33 indexed citations
19.
Shin, Dong Ho, et al.. (1997). Chronic Use of Apraclonidine Decreases Its Moderation of Post-laser Intraocular Pressure Spikes. Ophthalmology. 104(11). 1921–1925. 11 indexed citations
20.
Rath, Eitan Z., et al.. (1992). Risk Factors for Retinal Vein Occlusions. Ophthalmology. 99(4). 509–514. 155 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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