Sean L. Kim

866 total citations · 2 hit papers
8 papers, 607 citations indexed

About

Sean L. Kim is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Sean L. Kim has authored 8 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomedical Engineering, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Sean L. Kim's work include Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Sean L. Kim is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Sean L. Kim collaborates with scholars based in United States, South Korea and China. Sean L. Kim's co-authors include Kevin Kit Parker, John F. Zimmerman, Keel Yong Lee, Herdeline Ann M. Ardoña, Luke A. MacQueen, André G. Kléber, Suji Choi, George Lauder, David G. Matthews and Qianru Jin and has published in prestigious journals such as Science, Circulation and Nature Materials.

In The Last Decade

Sean L. Kim

8 papers receiving 603 citations

Hit Papers

An autonomously swimming ... 2022 2026 2023 2024 2022 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean L. Kim United States 7 310 162 132 107 91 8 607
Keel Yong Lee South Korea 10 272 0.9× 116 0.7× 99 0.8× 108 1.0× 80 0.9× 17 557
Silvia Antona Germany 7 369 1.2× 117 0.7× 77 0.6× 93 0.9× 29 0.3× 9 499
Sang-Mo Koo South Korea 12 540 1.7× 180 1.1× 159 1.2× 115 1.1× 33 0.4× 27 849
Alex Jiao United States 11 642 2.1× 205 1.3× 262 2.0× 336 3.1× 58 0.6× 12 952
Elise A. Corbin United States 15 581 1.9× 127 0.8× 75 0.6× 87 0.8× 60 0.7× 38 881
Behnam Zamanian United States 7 391 1.3× 42 0.3× 146 1.1× 251 2.3× 30 0.3× 9 667
Rose T. Yin United States 12 408 1.3× 217 1.3× 56 0.4× 47 0.4× 54 0.6× 22 773
Shiyu Cheng China 13 409 1.3× 58 0.4× 101 0.8× 200 1.9× 8 0.1× 26 629
Riho Gojo Japan 6 644 2.1× 136 0.8× 180 1.4× 229 2.1× 7 0.1× 14 851
William Ronan Ireland 15 321 1.0× 48 0.3× 122 0.9× 160 1.5× 30 0.3× 42 635

Countries citing papers authored by Sean L. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sean L. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean L. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sean L. Kim. A scholar is included among the top collaborators of Sean L. 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 Sean L. Kim. Sean L. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Zimmerman, John F., et al.. (2025). Bioinspired design of a tissue-engineered ray with machine learning. Science Robotics. 10(99). eadr6472–eadr6472. 4 indexed citations
2.
Choi, Suji, Keel Yong Lee, Sean L. Kim, et al.. (2023). Fibre-infused gel scaffolds guide cardiomyocyte alignment in 3D-printed ventricles. Nature Materials. 22(8). 1039–1046. 125 indexed citations breakdown →
3.
Kim, Sean L., Michael A. Trembley, Keel Yong Lee, et al.. (2023). Spatiotemporal cell junction assembly in human iPSC-CM models of arrhythmogenic cardiomyopathy. Stem Cell Reports. 18(9). 1811–1826. 10 indexed citations
4.
Lee, Keel Yong, David G. Matthews, Sean L. Kim, et al.. (2022). An autonomously swimming biohybrid fish designed with human cardiac biophysics. Science. 375(6581). 639–647. 138 indexed citations breakdown →
5.
Chang, Huibin, Qihan Liu, John F. Zimmerman, et al.. (2022). Recreating the heart’s helical structure-function relationship with focused rotary jet spinning. Science. 377(6602). 180–185. 84 indexed citations
6.
Garbern, Jessica C., Aharon Helman, Rebecca Sereda, et al.. (2019). Inhibition of mTOR Signaling Enhances Maturation of Cardiomyocytes Derived From Human-Induced Pluripotent Stem Cells via p53-Induced Quiescence. Circulation. 141(4). 285–300. 85 indexed citations
7.
Park, Sungjin, Donghui Zhang, Qi Yan, et al.. (2019). Insights Into the Pathogenesis of Catecholaminergic Polymorphic Ventricular Tachycardia From Engineered Human Heart Tissue. Circulation. 140(5). 390–404. 95 indexed citations
8.
Ahn, Seungkuk, Herdeline Ann M. Ardoña, Johan Lind, et al.. (2018). Mussel-inspired 3D fiber scaffolds for heart-on-a-chip toxicity studies of engineered nanomaterials. Analytical and Bioanalytical Chemistry. 410(24). 6141–6154. 66 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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