Jae‐Chan Kim

3.5k total citations
106 papers, 2.9k citations indexed

About

Jae‐Chan Kim is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jae‐Chan Kim has authored 106 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Electrical and Electronic Engineering, 34 papers in Electronic, Optical and Magnetic Materials and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jae‐Chan Kim's work include Advancements in Battery Materials (46 papers), Supercapacitor Materials and Fabrication (34 papers) and Advanced Battery Materials and Technologies (30 papers). Jae‐Chan Kim is often cited by papers focused on Advancements in Battery Materials (46 papers), Supercapacitor Materials and Fabrication (34 papers) and Advanced Battery Materials and Technologies (30 papers). Jae‐Chan Kim collaborates with scholars based in South Korea, Saudi Arabia and United States. Jae‐Chan Kim's co-authors include Dong‐Wan Kim, Hyun‐Woo Shim, Gwang‐Hee Lee, Hee Jo Song, Scheffer C.G. Tseng, Chul Yong Song, Seung‐Deok Seo, Jae Soon Kim, Yeoun Sook Chun and Sangbaek Park and has published in prestigious journals such as PLoS ONE, Biomaterials and Advanced Energy Materials.

In The Last Decade

Jae‐Chan Kim

104 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae‐Chan Kim South Korea 33 1.4k 760 748 554 427 106 2.9k
Kai Su China 32 393 0.3× 348 0.5× 98 0.1× 60 0.1× 515 1.2× 85 2.9k
Xu Yan China 40 945 0.7× 397 0.5× 96 0.1× 28 0.1× 1.3k 3.0× 148 4.7k
Hisatoshi Kobayashi Japan 37 174 0.1× 74 0.1× 394 0.5× 193 0.3× 217 0.5× 102 4.1k
Farshid Sefat United Kingdom 24 188 0.1× 65 0.1× 218 0.3× 120 0.2× 630 1.5× 82 2.6k
Tsuyoshi Kimura Japan 26 80 0.1× 342 0.5× 263 0.4× 130 0.2× 349 0.8× 161 2.9k
Seongbong Jo United States 33 630 0.5× 289 0.4× 50 0.1× 31 0.1× 437 1.0× 68 4.6k
Jingchao Li China 41 163 0.1× 570 0.8× 228 0.3× 32 0.1× 1.6k 3.9× 85 5.4k
Doris Klee Germany 36 362 0.3× 74 0.1× 120 0.2× 29 0.1× 265 0.6× 130 4.4k
Lingzhou Zhao China 40 189 0.1× 129 0.2× 417 0.6× 15 0.0× 2.2k 5.1× 128 6.7k
Huan Lü China 34 723 0.5× 173 0.2× 80 0.1× 21 0.0× 683 1.6× 90 3.4k

Countries citing papers authored by Jae‐Chan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Chan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae‐Chan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Chan Kim. A scholar is included among the top collaborators of Jae‐Chan 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 Jae‐Chan Kim. Jae‐Chan 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, Jae‐Chan, et al.. (2017). Effects of botulinum toxin type A for the treatment of dry eye syndrome and tear biomarkers. Investigative Ophthalmology & Visual Science. 58(8). 5173–5173. 1 indexed citations
2.
Song, Hee Jo, et al.. (2017). An approach to flexible Na-ion batteries with exceptional rate capability and long lifespan using Na2FeP2O7 nanoparticles on porous carbon cloth. Journal of Materials Chemistry A. 5(11). 5502–5510. 72 indexed citations
3.
Kim, Kyoung Woo, Soo Jin Lee, & Jae‐Chan Kim. (2017). TNF-α upregulates HIF-1α expression in pterygium fibroblasts and enhances their susceptibility to VEGF independent of hypoxia. Experimental Eye Research. 164. 74–81. 33 indexed citations
4.
Lee, Gwang‐Hee, et al.. (2016). MnMoO4 Electrocatalysts for Superior Long‐Life and High‐Rate Lithium‐Oxygen Batteries. Advanced Energy Materials. 7(6). 61 indexed citations
5.
Song, Hee Jo, Jae‐Chan Kim, Sangbaek Park, et al.. (2016). Enhanced Lithium Storage in Reduced Graphene Oxide-supported M-phase Vanadium(IV) Dioxide Nanoparticles. Scientific Reports. 6(1). 30202–30202. 25 indexed citations
6.
Kim, Jae‐Chan & Dong Hoe Kim. (2014). Electrospun Cu/Sn/C Nanocomposite Fiber Anodes with Superior Usable Lifetime for Lithium‐ and Sodium‐Ion Batteries. Chemistry - An Asian Journal. 9(11). 3313–3318. 16 indexed citations
7.
Lee, Gwang‐Hee, Sung‐Nam Kwon, Kyung-Soo Park, et al.. (2014). Germanium microflower-on-nanostem as a high-performance lithium ion battery electrode. Scientific Reports. 4(1). 6883–6883. 18 indexed citations
8.
Shim, Hyun‐Woo, et al.. (2013). Hydrothermal Realization of a Hierarchical, Flowerlike MnWO4@MWCNTs Nanocomposite with Enhanced Reversible Li Storage as a New Anode Material. Chemistry - An Asian Journal. 8(11). 2851–2858. 18 indexed citations
9.
Shin, Mi Sun, et al.. (2007). Effects of Damaged Human Corneal Epithelial Cells on Differentiation of Human Mesenchymal Stem Cell.. Journal of the Korean Ophthalmological Society. 48(3). 423–430. 4 indexed citations
10.
Chun, Yeoun Sook, et al.. (2006). Iris and trabecular meshwork pigment changes after posterior chamber phakic intraocular lens implantation. Journal of Cataract & Refractive Surgery. 32(9). 1452–1458. 57 indexed citations
11.
12.
Ye, Juan, Jian Chen, Jae‐Chan Kim, & Ke Yao. (2004). Bone Marrow-Derived Cells Are Present in Mooren’s Ulcer. Ophthalmic Research. 36(3). 151–155. 8 indexed citations
13.
Song, Young Soo, et al.. (2003). Fungal Keratitis Caused by Chromomycetes. Journal of the Korean Ophthalmological Society. 44(3). 755–759. 8 indexed citations
14.
Oh, Jung Hwan & Jae‐Chan Kim. (2003). Repair of Scleromalacia Using Preserved Scleral Graft With Amniotic Membrane Transplantation. Cornea. 22(4). 288–293. 35 indexed citations
15.
Park, Woo Chan, et al.. (2001). The Clinical Efficacy of Amniotic Membrane Transplantation and Limbal-Conjunctival Autograft in Patients with Recurrent Pterygium or Pseudopterygium.. Journal of the Korean Ophthalmological Society. 42(8). 1143–1149.
16.
Kim, Young Jin, In Sik Kim, Jae‐Chan Kim, & Kyung Hwan Shyn. (2000). The Role of Nitric Oxide on Cataractogenesis in Uveitis Model Induced by Concanavalin A and Lipopolysaccharide.. Journal of the Korean Ophthalmological Society. 41(3). 562–572. 1 indexed citations
17.
Kim, Jae Soon, et al.. (2000). Amniotic Membrane Patching Promotes Healing and Inhibits Proteinase Activity on Wound Healing Following Acute Corneal Alkali Burn. Experimental Eye Research. 70(3). 329–337. 269 indexed citations
18.
Tchah, Hungwon, et al.. (1998). Epidemiology of Contact Lens Related Infectious Keratitis(1995.4 ~1997.9): Multi-center Study.. Journal of the Korean Ophthalmological Society. 39(7). 1417–1426. 7 indexed citations
19.
Kim, Jae‐Chan, et al.. (1998). Amniotic membrane transplantation for ocular surface reconstruction. 2(1). 26–34. 7 indexed citations
20.
Kim, Jae‐Chan, et al.. (1988). A Study of Prevailing Features and Causes of Myopia and Visual Impairment in Urban School Children. Journal of the Korean Ophthalmological Society. 29(1). 165–181. 9 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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