Jae Min

3.7k total citations
51 papers, 2.9k citations indexed

About

Jae Min is a scholar working on Biomedical Engineering, Molecular Biology and Surgery. According to data from OpenAlex, Jae Min has authored 51 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 16 papers in Molecular Biology and 13 papers in Surgery. Recurrent topics in Jae Min's work include 3D Printing in Biomedical Research (24 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Mesenchymal stem cell research (8 papers). Jae Min is often cited by papers focused on 3D Printing in Biomedical Research (24 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Mesenchymal stem cell research (8 papers). Jae Min collaborates with scholars based in South Korea, United States and United Kingdom. Jae Min's co-authors include Hojae Bae, Ali Khademhosseini, Su Ryon Shin, Oh Young Bang, Gyeong Joon Moon, Mehmet R. Dokmeci, Pınar Zorlutuna, Ji Hyun Ryu, Athanasios Mantalaris and Ji Hee Sung and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Jae Min

51 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Min South Korea 27 1.7k 934 770 472 261 51 2.9k
Kyobum Kim South Korea 32 1.8k 1.0× 968 1.0× 732 1.0× 468 1.0× 211 0.8× 111 3.5k
Anuradha Subramanian United States 34 1.6k 1.0× 1.4k 1.5× 792 1.0× 699 1.5× 174 0.7× 122 3.8k
Andrew C.A. Wan Singapore 39 1.5k 0.9× 1.3k 1.4× 815 1.1× 783 1.7× 152 0.6× 72 3.3k
Zigang Ge China 32 1.5k 0.9× 1.0k 1.1× 551 0.7× 855 1.8× 340 1.3× 82 3.3k
Junmin Lee United States 39 2.1k 1.2× 747 0.8× 668 0.9× 422 0.9× 217 0.8× 103 3.8k
Janos M. Kanczler United Kingdom 32 2.3k 1.3× 969 1.0× 738 1.0× 965 2.0× 543 2.1× 78 3.8k
Sang‐Hyug Park South Korea 30 1.5k 0.9× 2.0k 2.1× 649 0.8× 536 1.1× 155 0.6× 81 3.5k
James P. K. Armstrong United Kingdom 25 1.6k 0.9× 565 0.6× 961 1.2× 287 0.6× 90 0.3× 64 3.1k
Jeroen Leijten Netherlands 41 2.5k 1.5× 1.0k 1.1× 854 1.1× 1.1k 2.2× 591 2.3× 120 4.9k
Catherine Le Visage France 36 1.5k 0.9× 1.2k 1.3× 439 0.6× 994 2.1× 222 0.9× 94 3.7k

Countries citing papers authored by Jae Min

Since Specialization
Citations

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

Fields of papers citing papers by Jae Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae Min

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Min. A scholar is included among the top collaborators of Jae Min 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 Min. Jae Min 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.
Choi, Hyemin, Su Yeon Kwon, Byoung‐Ju Kim, et al.. (2022). Preclinical Study of Human Bone Marrow-Derived Mesenchymal Stem Cells Using a 3-Dimensional Manufacturing Setting for Enhancing Spinal Fusion. Stem Cells Translational Medicine. 11(10). 1072–1088. 8 indexed citations
2.
Min, Jae, et al.. (2022). Development of a Novel Perfusion Rotating Wall Vessel Bioreactor with Ultrasound Stimulation for Mass-Production of Mineralized Tissue Constructs. Tissue Engineering and Regenerative Medicine. 19(4). 739–754. 5 indexed citations
3.
Min, Jae, et al.. (2021). Next-Generation Wearable Biosensors Developed with Flexible Bio-Chips. Micromachines. 12(1). 64–64. 18 indexed citations
4.
Park, Kiwon, et al.. (2021). 3D-Bioprinting Strategies Based on In Situ Bone-Healing Mechanism for Vascularized Bone Tissue Engineering. Micromachines. 12(3). 287–287. 18 indexed citations
5.
Kim, Hyun Woo, Jiyeon Lee, Xiaowei Zhang, et al.. (2020). Kappa-Carrageenan-Based Dual Crosslinkable Bioink for Extrusion Type Bioprinting. Polymers. 12(10). 2377–2377. 53 indexed citations
6.
Seo, Jeong Wook, Su Ryon Shin, Min‐Young Lee, et al.. (2020). Injectable hydrogel derived from chitosan with tunable mechanical properties via hybrid-crosslinking system. Carbohydrate Polymers. 251. 117036–117036. 60 indexed citations
7.
Min, Jae, et al.. (2017). A novel cylindrical microwell featuring inverted-pyramidal opening for efficient cell spheroid formation without cell loss. Biofabrication. 9(3). 35006–35006. 25 indexed citations
8.
Shin, Su Ryon, Jae Min, Soo‐Hong Lee, et al.. (2016). Cold Water Fish Gelatin Methacryloyl Hydrogel for Tissue Engineering Application. PLoS ONE. 11(10). e0163902–e0163902. 132 indexed citations
9.
Kim, Jeehye, Robert Gauvin, Jin‐Hoi Kim, et al.. (2016). Skin penetration-inducing gelatin methacryloyl nanogels for transdermal macromolecule delivery. Macromolecular Research. 24(12). 1115–1125. 16 indexed citations
10.
11.
Yeo, David, Alexandros Kiparissides, Jae Min, et al.. (2013). Improving Embryonic Stem Cell Expansion through the Combination of Perfusion and Bioprocess Model Design. PLoS ONE. 8(12). e81728–e81728. 23 indexed citations
12.
Ryu, Ji Hyun, Yuhan Lee, Jae Min, et al.. (2013). Chitosan-g-hematin: Enzyme-mimicking polymeric catalyst for adhesive hydrogels. Acta Biomaterialia. 10(1). 224–233. 63 indexed citations
13.
Zorlutuna, Pınar, et al.. (2012). Directed Differentiation of Size‐Controlled Embryoid Bodies Towards Endothelial and Cardiac Lineages in RGD‐Modified Poly(Ethylene Glycol) Hydrogels. Advanced Healthcare Materials. 2(1). 195–205. 53 indexed citations
14.
Bae, Hojae, Hunghao Chu, Faramarz Edalat, et al.. (2012). Development of functional biomaterials with micro- and nanoscale technologies for tissue engineering and drug delivery applications. Journal of Tissue Engineering and Regenerative Medicine. 8(1). 1–14. 74 indexed citations
15.
Edalat, Faramarz, Hojae Bae, Sam Manoucheri, Jae Min, & Ali Khademhosseini. (2011). Engineering Approaches Toward Deconstructing and Controlling the Stem Cell Environment. Annals of Biomedical Engineering. 40(6). 1301–1315. 50 indexed citations
16.
Kim, Sang Bok, Hojae Bae, Jae Min, et al.. (2011). A cell-based biosensor for real-time detection of cardiotoxicity using lensfree imaging. Lab on a Chip. 11(10). 1801–1801. 78 indexed citations
17.
Zhang, Juan, Min Wang, Jae Min, & Athanasios Mantalaris. (2008). The incorporation of 70s bioactive glass to the osteogenic differentiation of murine embryonic stem cells in 3D bioreactors. Journal of Tissue Engineering and Regenerative Medicine. 3(1). 63–71. 24 indexed citations
18.
Choi, Yu Suk, et al.. (2007). Preparation and characterization of biodegradable anti-adhesive membrane for peritoneal wound healing. Journal of Materials Science Materials in Medicine. 18(3). 475–482. 29 indexed citations
19.
Min, Jae, et al.. (2006). Construction of Functional Soft Tissues From Premodulated Smooth Muscle Cells Using a Bioreactor System. Artificial Organs. 30(9). 704–707. 7 indexed citations
20.

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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