Taeyoon Kim

2.4k total citations
59 papers, 1.5k citations indexed

About

Taeyoon Kim is a scholar working on Cell Biology, Atomic and Molecular Physics, and Optics and Molecular Biology. According to data from OpenAlex, Taeyoon Kim has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cell Biology, 21 papers in Atomic and Molecular Physics, and Optics and 14 papers in Molecular Biology. Recurrent topics in Taeyoon Kim's work include Cellular Mechanics and Interactions (35 papers), Force Microscopy Techniques and Applications (19 papers) and 3D Printing in Biomedical Research (9 papers). Taeyoon Kim is often cited by papers focused on Cellular Mechanics and Interactions (35 papers), Force Microscopy Techniques and Applications (19 papers) and 3D Printing in Biomedical Research (9 papers). Taeyoon Kim collaborates with scholars based in United States, Japan and South Korea. Taeyoon Kim's co-authors include Jung-Hwa Tao-Cheng, Lee E. Eiden, Roger D. Kamm, Y Peng Loh, Y. Peng Loh, Wonyeong Jung, Michael P. Murrell, Hyungsuk Lee, Wonmuk Hwang and Michael Mak and has published in prestigious journals such as Cell, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Taeyoon Kim

57 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taeyoon Kim United States 22 1.0k 530 294 231 165 59 1.5k
Verena Ruprecht Austria 17 912 0.9× 731 1.4× 504 1.7× 146 0.6× 128 0.8× 30 1.7k
Sven Tågerud Sweden 22 340 0.3× 548 1.0× 215 0.7× 151 0.7× 204 1.2× 49 1.3k
Sébastien Schaub France 20 591 0.6× 534 1.0× 268 0.9× 85 0.4× 97 0.6× 45 1.4k
Andrew G. Clark Germany 14 1.1k 1.1× 632 1.2× 591 2.0× 151 0.7× 60 0.4× 22 1.9k
Sri Ram Krishna Vedula Singapore 17 1.3k 1.3× 403 0.8× 1.0k 3.4× 208 0.9× 84 0.5× 28 1.9k
Patricia T. Yam Canada 19 823 0.8× 875 1.7× 233 0.8× 94 0.4× 465 2.8× 30 1.8k
Takashi Ohki Japan 19 516 0.5× 590 1.1× 169 0.6× 130 0.6× 116 0.7× 61 1.5k
Elsa Bazellières France 15 1.3k 1.2× 611 1.2× 520 1.8× 137 0.6× 91 0.6× 22 1.7k
Vito Conte Spain 15 1.9k 1.8× 533 1.0× 1.1k 3.7× 301 1.3× 101 0.6× 20 2.3k
Cecile O. Mejean United States 8 511 0.5× 344 0.6× 253 0.9× 150 0.6× 56 0.3× 9 1.1k

Countries citing papers authored by Taeyoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Taeyoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeyoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Taeyoon Kim. A scholar is included among the top collaborators of Taeyoon 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 Taeyoon Kim. Taeyoon 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.
Li, Haiyan, Jiannong Dai, Kamesh Dhamodaran, et al.. (2025). Characterization, Enrichment, and Computational Modeling of Cross-Linked Actin Networks in Transformed Trabecular Meshwork Cells. Investigative Ophthalmology & Visual Science. 66(2). 65–65. 2 indexed citations
2.
Roy, Tanay, Taeyoon Kim, Alexander Romanenko, & Anna Grassellino. (2024). Qudit-based quantum computing with SRF cavities at Fermilab. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 127–127. 4 indexed citations
3.
Jung, Wonyeong, et al.. (2024). Myosin‐induced F‐actin fragmentation facilitates contraction of actin networks. Cytoskeleton. 81(8). 339–355. 1 indexed citations
4.
Tabatabai, A. Pasha, et al.. (2022). F-actin architecture determines constraints on myosin thick filament motion. Nature Communications. 13(1). 7008–7008. 34 indexed citations
5.
Mulla, Yuval, Mario J. Avellaneda, Wonyeong Jung, et al.. (2022). Weak catch bonds make strong networks. Nature Materials. 21(9). 1019–1023. 30 indexed citations
6.
Kim, Taeyoon, et al.. (2022). Role of actin filaments and cis binding in cadherin clustering and patterning. PLoS Computational Biology. 18(7). e1010257–e1010257. 5 indexed citations
7.
Nam, Sungmin, Erin Sanders, Lucy Erin O’Brien, et al.. (2021). The nature of cell division forces in epithelial monolayers. The Journal of Cell Biology. 220(8). 14 indexed citations
8.
Li, Jing, et al.. (2021). Transient mechanical interactions between cells and viscoelastic extracellular matrix. Soft Matter. 17(45). 10274–10285. 11 indexed citations
9.
Wisdom, Katrina M., et al.. (2019). Covalent cross-linking of basement membrane-like matrices physically restricts invasive protrusions in breast cancer cells. Matrix Biology. 85-86. 94–111. 37 indexed citations
10.
Li, Jing, Taeyoon Kim, & Daniel B. Szymanski. (2018). Multi-scale regulation of cell branching: Modeling morphogenesis. Developmental Biology. 451(1). 40–52. 11 indexed citations
11.
12.
Jung, Wonyeong, Michael P. Murrell, & Taeyoon Kim. (2016). F-Actin Fragmentation Induces Distinct Mechanisms of Stress Relaxation in the Actin Cytoskeleton. Biophysical Journal. 110(3). 354a–354a. 2 indexed citations
13.
Mak, Michael, Muhammad H. Zaman, Roger D. Kamm, & Taeyoon Kim. (2016). Interplay of active processes modulates tension and drives phase transition in self-renewing, motor-driven cytoskeletal networks. Nature Communications. 7(1). 10323–10323. 70 indexed citations
14.
Bidone, Tamara C., Taeyoon Kim, Marco A. Deriu, Umberto Morbiducci, & Roger D. Kamm. (2015). Multiscale impact of nucleotides and cations on the conformational equilibrium, elasticity and rheology of actin filaments and crosslinked networks. Biomechanics and Modeling in Mechanobiology. 14(5). 1143–1155. 31 indexed citations
15.
Jung, Wonyeong, Michael P. Murrell, & Taeyoon Kim. (2015). F-actin cross-linking enhances the stability of force generation in disordered actomyosin networks. Computational Particle Mechanics. 2(4). 317–327. 23 indexed citations
16.
Kim, Taeyoon. (2014). Determinants of contractile forces generated in disorganized actomyosin bundles. Biomechanics and Modeling in Mechanobiology. 14(2). 345–355. 32 indexed citations
17.
Kim, Taeyoon, Margaret L. Gardel, & Ed Munro. (2014). Determinants of Fluidlike Behavior and Effective Viscosity in Cross-Linked Actin Networks. Biophysical Journal. 106(3). 526–534. 45 indexed citations
18.
Kim, Taeyoon, et al.. (2013). Optimization Methodology of Modular Unit Factory Production Process Using DSM. Journal of the Architectural Institute of Korea Structure & Construction. 29(6). 113–122. 3 indexed citations
19.
Koshimizu, Hisatsugu, Taeyoon Kim, Niamh X. Cawley, & Y. Peng Loh. (2009). Chromogranin A: A new proposal for trafficking, processing and induction of granule biogenesis. Regulatory Peptides. 160(1-3). 153–159. 36 indexed citations
20.
Kim, Taeyoon, Jung-Hwa Tao-Cheng, Lee E. Eiden, & Y. Peng Loh. (2002). Large Dense‐Core Secretory Granule Biogenesis Is under the Control of Chromogranin A in Neuroendocrine Cells. Annals of the New York Academy of Sciences. 971(1). 323–331. 13 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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