Sunkook Kim

618 total citations
24 papers, 321 citations indexed

About

Sunkook Kim is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Sunkook Kim has authored 24 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 12 papers in Materials Chemistry and 8 papers in Biomedical Engineering. Recurrent topics in Sunkook Kim's work include 2D Materials and Applications (6 papers), Advanced Memory and Neural Computing (5 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). Sunkook Kim is often cited by papers focused on 2D Materials and Applications (6 papers), Advanced Memory and Neural Computing (5 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). Sunkook Kim collaborates with scholars based in South Korea, United States and India. Sunkook Kim's co-authors include Muhammad Naqi, Arindam Bala, Tae‐Hwan Kim, Jongsun Park, Changwon Kee, Yuying Ji, Seongin Hong, Hong Hoe Koo, Jun‐Woo Park and Pavan Pujar and has published in prestigious journals such as Advanced Functional Materials, Small and Composites Part B Engineering.

In The Last Decade

Sunkook Kim

17 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunkook Kim South Korea 9 218 134 81 41 39 24 321
Hengtian Zhu China 8 142 0.7× 173 1.3× 157 1.9× 33 0.8× 19 0.5× 12 400
Mertcan Han Türkiye 13 167 0.8× 134 1.0× 126 1.6× 51 1.2× 108 2.8× 26 407
Ceara McGowan Australia 7 102 0.5× 38 0.3× 34 0.4× 15 0.4× 174 4.5× 13 253
Л. П. Ичкитидзе Russia 10 56 0.3× 81 0.6× 191 2.4× 21 0.5× 21 0.5× 48 299
Jakub Jadwiszczak Ireland 10 243 1.1× 288 2.1× 100 1.2× 26 0.6× 37 0.9× 14 429
Sumin Kim South Korea 9 71 0.3× 20 0.1× 182 2.2× 46 1.1× 62 1.6× 11 280
Yimu Chen China 8 231 1.1× 137 1.0× 171 2.1× 77 1.9× 15 0.4× 12 404
Jan‐Laurens P. J. van der Steen Netherlands 10 321 1.5× 89 0.7× 179 2.2× 53 1.3× 18 0.5× 16 394
R. Freda United States 4 137 0.6× 72 0.5× 40 0.5× 6 0.1× 194 5.0× 5 303
Michael Kaiser Germany 7 158 0.7× 66 0.5× 177 2.2× 36 0.9× 25 0.6× 12 322

Countries citing papers authored by Sunkook Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sunkook Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunkook Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sunkook Kim. A scholar is included among the top collaborators of Sunkook 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 Sunkook Kim. Sunkook 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-Seong, Mikyung Kang, Aiping Hui, et al.. (2025). AI‐Integrated Optoelectronic Platform for Low‐Latency Classification of Toxic Industrial Chemicals. Small. 21(37). e2506026–e2506026.
2.
Jang, Seong Cheol, Yongju Lee, Swarup Biswas, et al.. (2025). Recent progress in the development of backplane thin-film transistors for information displays. Journal of Information Display. 26(4). 341–356.
3.
Sen, Anamika, Zerui Liu, Minsung Jeon, et al.. (2025). 1D and 2D nanostructures of transition metal dichalcogenides: Toward functional devices and sustainable technologies. Materials Science and Engineering R Reports. 166. 101083–101083.
4.
Kim, Suhyeon, Seungho Baek, Wonsuk Jung, et al.. (2025). Biosupercapacitors for Human‐Powered Electronics. Advanced Functional Materials. 36(9).
5.
Shim, Jae-Hoon, et al.. (2025). Next generation High-Mobility 2D chalcogenides TFT for display backplane. International Journal of Extreme Manufacturing. 7(5). 52005–52005. 3 indexed citations
6.
Bala, Arindam, et al.. (2025). Plasma-irradiated hafnia ferroelectrics for high-performance flexible thin film transistors. Materials Today Nano. 31. 100639–100639.
7.
8.
Панов, В. П., et al.. (2024). Nonclassical solid-state organic crystallization via particle migration and disintegration. Colloids and Surfaces A Physicochemical and Engineering Aspects. 697. 134390–134390.
9.
Lee, Ji‐Su, Seok‐Ho Rhi, & Sunkook Kim. (2024). Modeling and simulation of heat pipes: review. Journal of Mechanical Science and Technology. 38(5). 2591–2612. 3 indexed citations
10.
Bala, Arindam, Muhammad Naqi, Anamika Sen, et al.. (2024). Active pixel image sensor array for dual vision using large‐area bilayer WS2. InfoMat. 6(4). 17 indexed citations
11.
Naqi, Muhammad, et al.. (2024). Integration of IGZO-based memristor and Pt-based temperature sensor for enhanced artificial nociceptor system. Materials Today Nano. 27. 100491–100491. 4 indexed citations
12.
Kim, Hyeong‐U, Byung Chul Jang, Muhammad Naqi, et al.. (2024). Nanoristors: highly uniform, sub-500-millivolt, large-scale, and robust molybdenum disulfide nanograined memristors. Journal of Materials Chemistry C. 12(17). 6350–6358. 3 indexed citations
13.
Naqi, Muhammad, et al.. (2023). Large scale integrated IGZO crossbar memristor array based artificial neural architecture for scalable in-memory computing. Materials Today Nano. 25. 100441–100441. 12 indexed citations
14.
Park, Ho Seok, Yong‐Hoon Kim, Ayusman Sen, et al.. (2023). Nanoscale patterning on layered MoS2 with stacking-dependent morphologies and optical tunning for phototransistor applications. Materials Today Nano. 23. 100367–100367. 6 indexed citations
15.
Kim, Sunkook, et al.. (2022). Super-stretchable polymer-AgPdCu superlattice electrodes for high-performance wearable electronics. Composites Part B Engineering. 238. 109914–109914. 12 indexed citations
16.
Hong, Seongin, et al.. (2021). Multifunctional molybdenum disulfide flash memory using a PEDOT:PSS floating gate. NPG Asia Materials. 13(1). 20 indexed citations
17.
Pujar, Pavan, Seunghun Kang, Seongin Hong, et al.. (2021). Direct growth of orthorhombic Hf0.5Zr0.5O2 thin films for hysteresis-free MoS2 negative capacitance field-effect transistors. npj 2D Materials and Applications. 5(1). 55 indexed citations
18.
Kim, Yong Jun, Yu Rim Lee, Nae‐Eung Lee, et al.. (2021). Highly stretchable metal-polymer hybrid conductors for wearable and self-cleaning sensors. NPG Asia Materials. 13(1). 37 indexed citations
19.
Pujar, Pavan, Seunghun Kang, Seongin Hong, et al.. (2021). Author Correction: Direct growth of orthorhombic Hf0.5Zr0.5O2 thin films for hysteresis-free MoS2 negative capacitance field-effect transistors. npj 2D Materials and Applications. 5(1). 3 indexed citations
20.
Kee, Changwon, Hong Hoe Koo, Yuying Ji, & Sunkook Kim. (1997). Effect of optic disc size or age on evaluation of optic disc variables. British Journal of Ophthalmology. 81(12). 1046–1049. 36 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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