Gunn Kim

2.8k total citations · 1 hit paper
86 papers, 2.3k citations indexed

About

Gunn Kim is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Gunn Kim has authored 86 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Materials Chemistry, 26 papers in Atomic and Molecular Physics, and Optics and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Gunn Kim's work include Graphene research and applications (46 papers), Carbon Nanotubes in Composites (25 papers) and Quantum and electron transport phenomena (13 papers). Gunn Kim is often cited by papers focused on Graphene research and applications (46 papers), Carbon Nanotubes in Composites (25 papers) and Quantum and electron transport phenomena (13 papers). Gunn Kim collaborates with scholars based in South Korea, United States and China. Gunn Kim's co-authors include Jisoon Ihm, Heeju Kim, Mahesh Datt Bhatt, Suklyun Hong, Junsu Lee, Young Hee Lee, Young‐Kyun Kwon, Kwang‐Ryeol Lee, Dosuck Han and Mina Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Gunn Kim

84 papers receiving 2.2k citations

Hit Papers

Various defects in graphe... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gunn Kim 1.6k 767 388 356 286 86 2.3k
Arezoo Dianat 2.1k 1.3× 1.1k 1.5× 261 0.7× 382 1.1× 426 1.5× 87 2.8k
Xiaobin Chen 1.6k 1.0× 568 0.7× 289 0.7× 519 1.5× 329 1.2× 96 2.6k
Andreas Graff 1.6k 1.0× 1.3k 1.7× 387 1.0× 244 0.7× 444 1.6× 103 2.7k
Yuta Tsuji 1.1k 0.7× 1.1k 1.4× 296 0.8× 527 1.5× 156 0.5× 108 2.3k
Evangelia A. Pavlatou 1.4k 0.9× 1.3k 1.6× 311 0.8× 407 1.1× 410 1.4× 86 2.6k
Xu He 1.6k 1.0× 1.1k 1.5× 244 0.6× 265 0.7× 386 1.3× 101 2.8k
Jincheng Zhuang 1.5k 0.9× 956 1.2× 323 0.8× 701 2.0× 556 1.9× 75 2.6k
Jianyi Chen 2.4k 1.5× 1.2k 1.5× 699 1.8× 169 0.5× 396 1.4× 49 2.9k
Dongbin Shin 2.1k 1.3× 949 1.2× 226 0.6× 351 1.0× 888 3.1× 47 2.8k
Tirandai Hemraj‐Benny 1.5k 0.9× 489 0.6× 459 1.2× 119 0.3× 204 0.7× 23 1.9k

Countries citing papers authored by Gunn Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gunn Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunn Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Gunn Kim. A scholar is included among the top collaborators of Gunn 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 Gunn Kim. Gunn 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, Sungkyu, et al.. (2025). CNN-based TEM image denoising from first principles. Computational Materials Science. 259. 114146–114146.
2.
Kim, Yejin, Sung Jong Yoo, Deok‐Yong Cho, et al.. (2024). Atomically Thin Two-Dimensional Kagome Flat Band on the Silicon Surface. ACS Nano. 18(37). 25535–25541. 3 indexed citations
4.
Jeon, Jae Ho, Heeju Kim, Sunghun Lee, et al.. (2022). Emergent Topological Hall Effect from Exchange Coupling in Ferromagnetic Cr2Te3/Noncoplanar Antiferromagnetic Cr2Se3 Bilayers. ACS Nano. 16(6). 8974–8982. 30 indexed citations
5.
Kim, Gunn, et al.. (2022). Property changes in two-dimensional electride bilayers through compression, sliding, and twisting. Applied Surface Science. 586. 152596–152596. 4 indexed citations
6.
Koumoutsakos, Petros, et al.. (2022). Molecular dynamics analysis of water flow through a multiply connected carbon nanotube channel. Current Applied Physics. 45. 64–71. 4 indexed citations
7.
Park, Yun Chang, Gunn Kim, Hyuk Jin Kim, et al.. (2022). Strong electron–phonon coupling driven charge density wave states in stoichiometric 1T-VS2 crystals. Journal of Materials Chemistry C. 10(44). 16657–16665. 7 indexed citations
8.
Matin, Md. Abdul, Junsu Lee, Byeong Jun, et al.. (2020). Morphing Mncore@Ptshell nanoparticles: Effects of core structure on the ORR performance of Pt shell. Applied Catalysis B: Environmental. 267. 118727–118727. 77 indexed citations
9.
Hussain, Sajjad, Kamran Akbar, Dhanasekaran Vikraman, et al.. (2019). Fabrication of Robust Hydrogen Evolution Reaction Electrocatalyst Using Ag2Se by Vacuum Evaporation. Nanomaterials. 9(10). 1460–1460. 16 indexed citations
10.
Sung, Dongchul, Gunn Kim, & Suklyun Hong. (2019). Effects of intercalated atoms on electronic structure of graphene nanoribbon/hexagonal boron nitride stacked layer. Scientific Reports. 9(1). 3623–3623. 1 indexed citations
11.
Shehzad, Muhammad Arslan, Junsu Lee, Sanghoon Park, et al.. (2018). Dynamics of liquid crystal on hexagonal lattice. 2D Materials. 5(4). 45021–45021. 8 indexed citations
12.
Hwang, Jeongwoon, Jong Keon Yoon, Sungmin Kim, et al.. (2016). Energy Bandgap and Edge States in an Epitaxially Grown Graphene/h-BN Heterostructure. Scientific Reports. 6(1). 31160–31160. 17 indexed citations
13.
Park, Changwon, Junga Ryou, Suklyun Hong, et al.. (2015). Electronic Properties of Bilayer Graphene Strongly Coupled to Interlayer Stacking and an External Electric Field. Physical Review Letters. 115(1). 15502–15502. 54 indexed citations
14.
Jang, Ji‐Hoon, Eunjik Lee, Jinwoo Park, et al.. (2013). Rational syntheses of core-shell Fex@Pt nanoparticles for the study of electrocatalytic oxygen reduction reaction. Scientific Reports. 3(1). 2872–2872. 74 indexed citations
15.
Sung, Dongchul, Noejung Park, Gunn Kim, & Suklyun Hong. (2012). Enhanced binding strength between metal nanoclusters and carbon nanotubes with an atomic nickel defect. Nanotechnology. 23(20). 205204–205204. 10 indexed citations
16.
An, Sangmin, Corey Stambaugh, Gunn Kim, et al.. (2012). Low-volume liquid delivery and nanolithography using a nanopipette combined with a quartz tuning fork-atomic force microscope. Nanoscale. 4(20). 6493–6493. 25 indexed citations
17.
Yang, Jae‐Suk, et al.. (2011). Impact of the Topology of Global Macroeconomic Network on the Spreading of Economic Crises. PLoS ONE. 6(3). e18443–e18443. 89 indexed citations
18.
Duong⧫, Dinh Loc, Gunn Kim, Hae‐Kyung Jeong, & Young Hee Lee. (2010). Breaking AB stacking order in graphite oxide: ab initio approach. Physical Chemistry Chemical Physics. 12(7). 1595–1595. 18 indexed citations
19.
Yoon, Mina, Seungwu Han, Gunn Kim, et al.. (2004). Zipper Mechanism of Nanotube Fusion: Theory and Experiment. Physical Review Letters. 92(7). 75504–75504. 74 indexed citations
20.
Cho, Youngmi, Seungwu Han, Gunn Kim, Hosik Lee, & Jisoon Ihm. (2003). Orbital Hybridization and Charge Transfer in Carbon Nanopeapods. Physical Review Letters. 90(10). 106402–106402. 61 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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