Jae‐Won Shin

3.4k total citations · 1 hit paper
54 papers, 2.4k citations indexed

About

Jae‐Won Shin is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Jae‐Won Shin has authored 54 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Cell Biology and 14 papers in Biomedical Engineering. Recurrent topics in Jae‐Won Shin's work include Cellular Mechanics and Interactions (13 papers), 3D Printing in Biomedical Research (9 papers) and Nuclear Structure and Function (6 papers). Jae‐Won Shin is often cited by papers focused on Cellular Mechanics and Interactions (13 papers), 3D Printing in Biomedical Research (9 papers) and Nuclear Structure and Function (6 papers). Jae‐Won Shin collaborates with scholars based in United States, South Korea and Australia. Jae‐Won Shin's co-authors include David Mooney, Stephen Lenzini, Cristiana B. Cunha, Sandeep T. Koshy, Kimberly H. Allison, Caroline S. Verbeke, Ovijit Chaudhuri, Angelo S. Mao, Sing Wan Wong and Dennis E. Discher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Materials.

In The Last Decade

Jae‐Won Shin

49 papers receiving 2.4k citations

Hit Papers

Extracellular matrix stiffness and composition jointly re... 2014 2026 2018 2022 2014 200 400 600

Peers

Jae‐Won Shin
Joseph P. Califano United States
Delphine Gourdon United States
Kshitiz Gupta United States
Vincent F. Fiore United States
Stephen D. Thorpe United Kingdom
Jonathan W. Song United States
Guanqing Ou United States
Martin N. Nakatsu United States
Joseph P. Califano United States
Jae‐Won Shin
Citations per year, relative to Jae‐Won Shin Jae‐Won Shin (= 1×) peers Joseph P. Califano

Countries citing papers authored by Jae‐Won Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Won Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Won Shin. 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 Jae‐Won Shin. The network helps show where Jae‐Won Shin may publish in the future.

Co-authorship network of co-authors of Jae‐Won Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Won Shin. A scholar is included among the top collaborators of Jae‐Won Shin 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 Jae‐Won Shin. Jae‐Won Shin 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.
Abenojar, Eric, Ashwani Gupta, Ik Sung Cho, et al.. (2025). Polyacrylamide Hydrogels with Reversibly Photocontrolled Stiffness for 2D Mechanobiology. ACS Applied Materials & Interfaces. 17(24). 34997–35008. 1 indexed citations
2.
Cho, Ik Sung, Akshay Joshi, Prerak Gupta, et al.. (2025). Innate Immune‐Cloaked Microgel‐Coated Mesenchymal Stromal Cells Reverse Persistent Pulmonary Fibrosis via Reparative Macrophages. Advanced Materials. 38(1). e04590–e04590.
3.
Anwar, Mumtaz, Prerak Gupta, Mark A. Sanborn, et al.. (2024). Notch transcriptional target tmtc1 maintains vascular homeostasis. Cellular and Molecular Life Sciences. 81(1). 370–370.
4.
Jeong, Sujong, Chang‐Eui Park, Hoonyoung Park, et al.. (2024). Unprecedented wildfires in Korea: Historical evidence of increasing wildfire activity due to climate change. Agricultural and Forest Meteorology. 348. 109920–109920. 14 indexed citations
5.
Jang, Youngwoo, Jaehyun Kim, Jae‐Won Shin, et al.. (2024). Autonomous Artificial Olfactory Sensor Systems with Homeostasis Recovery via a Seamless Neuromorphic Architecture. Advanced Materials. 36(29). e2400614–e2400614. 17 indexed citations
6.
Debnath, Koushik, et al.. (2023). Extracellular vesicle–matrix interactions. Nature Reviews Materials. 8(6). 390–402. 64 indexed citations
7.
8.
Gupta, Prerak, et al.. (2023). Towards single cell encapsulation for precision biology and medicine. Advanced Drug Delivery Reviews. 201. 115010–115010. 7 indexed citations
9.
Singh, Abhalaxmi, Sreeparna Chakraborty, Sing Wan Wong, et al.. (2022). Nanoparticle targeting of de novo profibrotic macrophages mitigates lung fibrosis. Proceedings of the National Academy of Sciences. 119(15). e2121098119–e2121098119. 71 indexed citations
10.
Wang, William Y., Robert Kent, Stephanie Huang, et al.. (2021). Direct comparison of angiogenesis in natural and synthetic biomaterials reveals that matrix porosity regulates endothelial cell invasion speed and sprout diameter. Acta Biomaterialia. 135. 260–273. 41 indexed citations
11.
Wong, Sing Wan, et al.. (2021). Matrix biophysical cues direct mesenchymal stromal cell functions in immunity. Acta Biomaterialia. 133. 126–138. 21 indexed citations
12.
Tsai, Richard, Lawrence J. Dooling, Diego A. Pantano, et al.. (2020). Macrophages show higher levels of engulfment after disruption of cis interactions between CD47 and the checkpoint receptor SIRPα. Journal of Cell Science. 133(5). 44 indexed citations
13.
Shin, Jae‐Won & James C. Lee. (2020). Roles of microglial membranes in Alzheimer's disease. Current topics in membranes. 86. 301–314. 4 indexed citations
14.
Mao, Angelo S., Berna Özkale, Nisarg J. Shah, et al.. (2019). Programmable microencapsulation for enhanced mesenchymal stem cell persistence and immunomodulation. Proceedings of the National Academy of Sciences. 116(31). 15392–15397. 150 indexed citations
15.
Lenzini, Stephen, et al.. (2019). Leveraging Biomaterial Mechanics to Improve Pluripotent Stem Cell Applications for Tissue Engineering. Frontiers in Bioengineering and Biotechnology. 7. 260–260. 23 indexed citations
16.
Kruse, Kevin, Ying Sun, Jeffrey A. Klomp, et al.. (2018). N-cadherin signaling via Trio assembles adherens junctions to restrict endothelial permeability. The Journal of Cell Biology. 218(1). 299–316. 58 indexed citations
17.
Buxboim, Amnon, Jerome Irianto, Joe Swift, et al.. (2017). Coordinated increase of nuclear tension and lamin-A with matrix stiffness outcompetes lamin-B receptor that favors soft tissue phenotypes. Molecular Biology of the Cell. 28(23). 3333–3348. 81 indexed citations
18.
Mao, Angelo S., Jae‐Won Shin, & David Mooney. (2016). Effects of substrate stiffness and cell-cell contact on mesenchymal stem cell differentiation. Biomaterials. 98. 184–191. 229 indexed citations
19.
Shin, Jae‐Won, Kyle Spinler, Joe Swift, et al.. (2013). Lamins regulate cell trafficking and lineage maturation of adult human hematopoietic cells. Proceedings of the National Academy of Sciences. 110(47). 18892–18897. 151 indexed citations
20.
Shin, Jae‐Won, et al.. (2009). Distribution of Glutamate Transporter GLAST in Membranes of Cultured Astrocytes in the Presence of Glutamate Transport Substrates and ATP. Neurochemical Research. 34(10). 1758–1766. 24 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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