Chuntae Kim

1.3k total citations
38 papers, 1.0k citations indexed

About

Chuntae Kim is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Chuntae Kim has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 21 papers in Molecular Biology and 8 papers in Biomaterials. Recurrent topics in Chuntae Kim's work include Advanced biosensing and bioanalysis techniques (17 papers), Biosensors and Analytical Detection (11 papers) and Bacteriophages and microbial interactions (7 papers). Chuntae Kim is often cited by papers focused on Advanced biosensing and bioanalysis techniques (17 papers), Biosensors and Analytical Detection (11 papers) and Bacteriophages and microbial interactions (7 papers). Chuntae Kim collaborates with scholars based in South Korea, United States and Hong Kong. Chuntae Kim's co-authors include Jin‐Woo Oh, Won‐Geun Kim, Dong‐Wook Han, Dong‐Myeong Shin, Suck Won Hong, Jong‐Sik Moon, Moon Sung Kang, Soyoung Lee, Seung‐Wuk Lee and Yujin Lee and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Energy & Environmental Science.

In The Last Decade

Chuntae Kim

38 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuntae Kim South Korea 18 623 354 215 195 158 38 1.0k
Won‐Geun Kim South Korea 15 492 0.8× 256 0.7× 170 0.8× 152 0.8× 117 0.7× 29 822
Woo-Jae Chung South Korea 8 222 0.4× 329 0.9× 123 0.6× 91 0.5× 89 0.6× 8 789
Young Min Bae South Korea 22 585 0.9× 607 1.7× 89 0.4× 195 1.0× 121 0.8× 62 1.4k
Chaker Tlili China 24 765 1.2× 902 2.5× 97 0.5× 557 2.9× 43 0.3× 54 1.7k
Fenni Zhang China 23 903 1.4× 393 1.1× 12 0.1× 338 1.7× 90 0.6× 59 1.5k
Zewei Luo China 29 1.4k 2.3× 1.3k 3.7× 91 0.4× 554 2.8× 28 0.2× 77 2.2k
Vasanthan Devaraj South Korea 17 446 0.7× 172 0.5× 64 0.3× 178 0.9× 39 0.2× 45 688
Jae Hyeon Park Singapore 20 618 1.0× 660 1.9× 32 0.1× 186 1.0× 29 0.2× 35 1.4k
Toshiki Sawada Japan 26 650 1.0× 632 1.8× 157 0.7× 148 0.8× 165 1.0× 122 2.0k
Nello Formisano United Kingdom 10 782 1.3× 997 2.8× 37 0.2× 482 2.5× 75 0.5× 13 1.6k

Countries citing papers authored by Chuntae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chuntae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuntae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chuntae Kim. A scholar is included among the top collaborators of Chuntae 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 Chuntae Kim. Chuntae 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, Chuntae, et al.. (2024). Current issues and perspectives in nanosensors-based artificial olfactory systems for breath diagnostics and environmental exposure monitoring. TrAC Trends in Analytical Chemistry. 174. 117656–117656. 16 indexed citations
2.
Raja, Iruthayapandi Selestin, Chuntae Kim, Nuri Oh, et al.. (2024). Tailoring photobiomodulation to enhance tissue regeneration. Biomaterials. 309. 122623–122623. 20 indexed citations
3.
Raja, Iruthayapandi Selestin, Chuntae Kim, Moon Sung Kang, et al.. (2024). Studies on cytocompatibility of human dermal fibroblasts on carbon nanofiber nanoparticle-containing bioprinted constructs. SHILAP Revista de lepidopterología. 19(1). 149–149. 2 indexed citations
4.
Kim, Chuntae, Moon Sung Kang, Iruthayapandi Selestin Raja, Yoon Ki Joung, & Dong‐Wook Han. (2024). Advancements in nanobiosensor technologies for in-vitro diagnostics to point of care testing. Heliyon. 10(22). e40306–e40306. 6 indexed citations
5.
Ma, Xiaoting, Eunjong Kim, Jingyi Gao, et al.. (2023). Self-powered smart skins for multimodal tactile perception based on triboelectric and hygroelectric working principles. Nano Energy. 113. 108589–108589. 16 indexed citations
6.
7.
Kim, Chuntae, Vasanthan Devaraj, Won‐Geun Kim, et al.. (2020). Hierarchical Cluster Analysis of Medical Chemicals Detected by a Bacteriophage-Based Colorimetric Sensor Array. Nanomaterials. 10(1). 121–121. 29 indexed citations
8.
9.
Kim, Won‐Geun, Chuntae Kim, Winnie Wong, et al.. (2019). Experimental and numerical evaluation of a genetically engineered M13 bacteriophage with high sensitivity and selectivity for 2,4,6-trinitrotoluene. Organic & Biomolecular Chemistry. 17(23). 5666–5670. 7 indexed citations
10.
Lee, Jong‐Min, Juyun Park, Vasanthan Devaraj, et al.. (2019). Improvement of High Affinity and Selectivity on Biosensors Using Genetically Engineered Phage by Binding Isotherm Screening. Viruses. 11(3). 248–248. 9 indexed citations
11.
Song, Hyerin, Chuntae Kim, Minwoo Kim, et al.. (2019). Intermolecular distance measurement with TNT suppressor on the M13 bacteriophage-based Förster resonance energy transfer system. Scientific Reports. 9(1). 496–496. 6 indexed citations
12.
Devaraj, Vasanthan, Jiye Han, Chuntae Kim, Yong‐Cheol Kang, & Jin‐Woo Oh. (2018). Self-Assembled Nanoporous Biofilms from Functionalized Nanofibrous M13 Bacteriophage. Viruses. 10(6). 322–322. 16 indexed citations
13.
Han, Jiye, Vasanthan Devaraj, Chuntae Kim, et al.. (2018). Fabrication of Self-Assembled Nanoporous Structures from a Self-Templating M13 Bacteriophage. ACS Applied Nano Materials. 1(6). 2851–2857. 6 indexed citations
14.
Shin, Yong Cheol, Chuntae Kim, Su-Jin Song, et al.. (2018). Ternary Aligned Nanofibers of RGD Peptide-Displaying M13 Bacteriophage/PLGA/Graphene Oxide for Facilitated Myogenesis. Nanotheranostics. 2(2). 144–156. 28 indexed citations
15.
Kim, Won‐Geun, Hyerin Song, Chuntae Kim, et al.. (2016). Biomimetic self-templating optical structures fabricated by genetically engineered M13 bacteriophage. Biosensors and Bioelectronics. 85. 853–859. 30 indexed citations
16.
Park, Minji, Chuntae Kim, Chang-Seok Kim, et al.. (2016). M-13 bacteriophage based structural color sensor for detecting antibiotics. Sensors and Actuators B Chemical. 240. 757–762. 33 indexed citations
17.
Kim, Chuntae, Jeonghyo Kim, Jae‐Wook Lee, et al.. (2015). Highly flexible and transparent metal grids made of metal nanowire networks. RSC Advances. 5(94). 77288–77295. 9 indexed citations
18.
Kim, Won‐Geun, Kyujung Kim, Sung‐Hun Ha, et al.. (2015). Virus based Full Colour Pixels using a Microheater. Scientific Reports. 5(1). 13757–13757. 14 indexed citations
19.
Moon, Jong‐Sik, Won‐Geun Kim, Chuntae Kim, et al.. (2015). M13 Bacteriophage-Based Self-Assembly Structures and Their Functional Capabilities. Mini-Reviews in Organic Chemistry. 12(3). 271–281. 45 indexed citations
20.
Oh, Jin‐Woo, Woo‐Jae Chung, Kwang Heo, et al.. (2014). Biomimetic virus-based colourimetric sensors. Nature Communications. 5(1). 3043–3043. 202 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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