Do‐Nyun Kim

3.0k total citations · 1 hit paper
78 papers, 2.2k citations indexed

About

Do‐Nyun Kim is a scholar working on Molecular Biology, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Do‐Nyun Kim has authored 78 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 17 papers in Biomedical Engineering and 13 papers in Mechanics of Materials. Recurrent topics in Do‐Nyun Kim's work include Advanced biosensing and bioanalysis techniques (27 papers), RNA Interference and Gene Delivery (22 papers) and Bacteriophages and microbial interactions (12 papers). Do‐Nyun Kim is often cited by papers focused on Advanced biosensing and bioanalysis techniques (27 papers), RNA Interference and Gene Delivery (22 papers) and Bacteriophages and microbial interactions (12 papers). Do‐Nyun Kim collaborates with scholars based in South Korea, United States and Sudan. Do‐Nyun Kim's co-authors include Mark Bathe, Hendrik Dietz, Tobias Wauer, Philipp Wortmann, Enrique Lin-Shiao, Carlos E. Castro, Chanseok Lee, Jae Young Lee, Klaus‐Jürgen Bathe and Young‐Joo Kim and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Do‐Nyun Kim

72 papers receiving 2.2k citations

Hit Papers

A primer to scaffolded DNA origami 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Do‐Nyun Kim South Korea 21 1.4k 749 372 293 190 78 2.2k
Sébastien Neukirch France 26 340 0.2× 493 0.7× 99 0.3× 549 1.9× 361 1.9× 69 1.7k
Sheng Mao China 19 347 0.3× 341 0.5× 52 0.1× 378 1.3× 476 2.5× 56 1.7k
Xu Zhou United States 21 463 0.3× 393 0.5× 31 0.1× 412 1.4× 610 3.2× 69 1.9k
Guo‐Hua Feng Taiwan 18 223 0.2× 808 1.1× 50 0.1× 325 1.1× 169 0.9× 119 1.4k
Fang Li China 22 158 0.1× 796 1.1× 23 0.1× 243 0.8× 148 0.8× 157 1.6k
Çağlar Elbüken Türkiye 25 259 0.2× 1.4k 1.9× 34 0.1× 129 0.4× 43 0.2× 75 2.0k
Byoungkwon An United States 14 289 0.2× 843 1.1× 79 0.2× 967 3.3× 12 0.1× 20 1.6k
Douglas E. Smith United States 26 188 0.1× 621 0.8× 19 0.1× 530 1.8× 544 2.9× 80 2.2k
Lin Feng China 27 195 0.1× 1.7k 2.3× 45 0.1× 504 1.7× 43 0.2× 158 2.6k
O. Matsumoto Japan 17 307 0.2× 324 0.4× 29 0.1× 163 0.6× 76 0.4× 80 1.3k

Countries citing papers authored by Do‐Nyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Do‐Nyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Do‐Nyun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Do‐Nyun Kim. A scholar is included among the top collaborators of Do‐Nyun 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 Do‐Nyun Kim. Do‐Nyun 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.
Yu, Ji Woong, Hye Been Koo, Jae Young Lee, et al.. (2025). Elasticity of Swollen and Folded Polyacrylamide Hydrogel Using the MARTINI Coarse-Grained Model. ACS Applied Materials & Interfaces. 17(3). 5340–5351. 1 indexed citations
2.
Kim, Do‐Nyun, et al.. (2025). Density-based topology optimization using a deformable mesh. Computers & Structures. 316. 107879–107879. 1 indexed citations
3.
Kim, Do‐Nyun, et al.. (2025). An adaptive procedure for the analysis of transient wave propagation using interpolation covers. Computer Methods in Applied Mechanics and Engineering. 445. 118167–118167. 1 indexed citations
4.
Kim, Hong‐Seok, et al.. (2025). Maintenance decision-making model for gas turbine engine component considering the inspection threshold and partial repair. Engineering Applications of Artificial Intelligence. 156. 111269–111269.
5.
Lee, Chanseok, et al.. (2025). A long-staple design approach towards the scalable production of scaffolded DNA origami. Nanoscale Horizons. 10(10). 2584–2592.
6.
Choi, Jaehyuk, et al.. (2024). Deep Learning-Based Detection of Defects in Wafer Buffer Zone During Semiconductor Packaging Process. 6(1). 25–32. 10 indexed citations
7.
Lee, Jae Young, et al.. (2024). Prediction of DNA origami shape using graph neural network. Nature Materials. 23(7). 984–992. 19 indexed citations
8.
Kim, Do‐Nyun, et al.. (2024). Adversarial deep energy method for solving saddle point problems involving dielectric elastomers. Computer Methods in Applied Mechanics and Engineering. 421. 116825–116825. 2 indexed citations
9.
Kim, Kyu‐Sik, et al.. (2024). Acoustic deep brain modulation: Enhancing neuronal activation and neurogenesis. Brain stimulation. 17(5). 1060–1075. 1 indexed citations
10.
Cho, Maenghyo, et al.. (2023). Data-driven nonparametric identification of material behavior based on physics-informed neural network with full-field data. Computer Methods in Applied Mechanics and Engineering. 418. 116569–116569. 27 indexed citations
11.
Kim, Do‐Nyun, et al.. (2023). Stability of mixed overlapping elements in incompressible analysis. Computer Methods in Applied Mechanics and Engineering. 412. 116104–116104. 5 indexed citations
12.
Lee, Chanseok, Jae Young Lee, Young‐Joo Kim, et al.. (2023). Harnessing a paper-folding mechanism for reconfigurable DNA origami. Nature. 619(7968). 78–86. 55 indexed citations
13.
Kim, Do‐Nyun, et al.. (2023). Controlling the stiffness of bistable kirigami surfaces via spatially varying hinges. Materials & Design. 231. 112053–112053. 14 indexed citations
14.
Kim, Kyung Soo, et al.. (2022). Predicting the Free-Form Shape of Structured DNA Assemblies from Their Lattice-Based Design Blueprint. ACS Nano. 16(3). 4289–4297. 10 indexed citations
15.
Lee, Jae Young, et al.. (2021). Design Approaches and Computational Tools for DNA Nanostructures. SHILAP Revista de lepidopterología. 2. 86–100. 6 indexed citations
16.
Kim, Do‐Nyun, et al.. (2020). Correlation between Advanced Technology and Urban Activity in Public Space. Journal of the Architectural Institute of Korea. 36(11). 75–84. 1 indexed citations
17.
Lee, Chanseok, Jae Young Lee, & Do‐Nyun Kim. (2017). Polymorphic design of DNA origami structures through mechanical control of modular components. Nature Communications. 8(1). 2067–2067. 33 indexed citations
18.
Castro, Carlos E., Do‐Nyun Kim, Enrique Lin-Shiao, et al.. (2011). A primer to scaffolded DNA origami. Nature Methods. 8(3). 221–229. 735 indexed citations breakdown →
19.
Kim, Do‐Nyun, et al.. (2010). Conformational dynamics data bank: a database for conformational dynamics of proteins and supramolecular protein assemblies. Nucleic Acids Research. 39(suppl_1). D451–D455. 10 indexed citations
20.
Kim, Do‐Nyun, et al.. (2010). Conformational dynamics of supramolecular protein assemblies. Journal of Structural Biology. 173(2). 261–270. 19 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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