JaeYoon Lee

437 total citations
11 papers, 350 citations indexed

About

JaeYoon Lee is a scholar working on Biomedical Engineering, Molecular Biology and Surgery. According to data from OpenAlex, JaeYoon Lee has authored 11 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in JaeYoon Lee's work include 3D Printing in Biomedical Research (6 papers), Bone Tissue Engineering Materials (5 papers) and Tissue Engineering and Regenerative Medicine (2 papers). JaeYoon Lee is often cited by papers focused on 3D Printing in Biomedical Research (6 papers), Bone Tissue Engineering Materials (5 papers) and Tissue Engineering and Regenerative Medicine (2 papers). JaeYoon Lee collaborates with scholars based in South Korea and Russia. JaeYoon Lee's co-authors include GeunHyung Kim, Hyeongjin Lee, Eun‐Ju Jin, Dongryeol Ryu, Gi Hoon Yang, Minseong Kim, Hanjun Hwangbo, Yunju Jo, Han‐Jun Kim and Eunji Choi and has published in prestigious journals such as ACS Applied Materials & Interfaces, RSC Advances and Materials Science and Engineering C.

In The Last Decade

JaeYoon Lee

10 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
JaeYoon Lee South Korea 7 290 128 116 66 39 11 350
Laura Ruiz‐Cantu United Kingdom 11 316 1.1× 161 1.3× 73 0.6× 54 0.8× 28 0.7× 17 425
Markel Lafuente‐Merchan Spain 8 196 0.7× 79 0.6× 101 0.9× 74 1.1× 42 1.1× 9 350
Hanjun Hwangbo South Korea 10 317 1.1× 121 0.9× 107 0.9× 63 1.0× 44 1.1× 19 398
Yong Bok Kim South Korea 7 350 1.2× 207 1.6× 124 1.1× 66 1.0× 36 0.9× 9 445
Katharina Kruppa Germany 4 267 0.9× 112 0.9× 69 0.6× 49 0.7× 31 0.8× 6 330
Sven Knaack Germany 10 270 0.9× 87 0.7× 70 0.6× 70 1.1× 51 1.3× 11 383
Madeline Burke United Kingdom 6 317 1.1× 144 1.1× 58 0.5× 44 0.7× 59 1.5× 8 367
Matthew L. Bedell United States 8 309 1.1× 152 1.2× 115 1.0× 57 0.9× 32 0.8× 9 398
Hairui Suo China 8 281 1.0× 112 0.9× 120 1.0× 54 0.8× 28 0.7× 10 371
Lokesh Karthik Narayanan United States 8 400 1.4× 221 1.7× 145 1.3× 75 1.1× 31 0.8× 16 522

Countries citing papers authored by JaeYoon Lee

Since Specialization
Citations

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

Fields of papers citing papers by JaeYoon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JaeYoon Lee

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

All Works

11 of 11 papers shown
2.
Lee, JaeYoon, et al.. (2025). Mechanosensitive Cell‐Laden Shape‐Memory Scaffolds Engineered via Cryogelation. Small Structures. 7(3).
3.
Kim, Won-Jin, Dong Rak Kwon, Hyeongjin Lee, et al.. (2024). 3D bioprinted multi-layered cell constructs with gradient core-shell interface for tendon-to-bone tissue regeneration. Bioactive Materials. 43. 471–490. 6 indexed citations
4.
Lee, JaeYoon, Hyeongjin Lee, Eun‐Ju Jin, Dongryeol Ryu, & GeunHyung Kim. (2023). 3D bioprinting using a new photo-crosslinking method for muscle tissue restoration. npj Regenerative Medicine. 8(1). 18–18. 41 indexed citations
5.
Mehta, Pramod Kumar, JaeYoon Lee, Eun‐Taex Oh, Heon Joo Park, & Keun‐Hyeung Lee. (2023). Ratiometric Fluorescence Sensing System for Lead Ions Based on Self-Assembly of Bioprobes Triggered by Specific Pb2+–Peptide Interactions. ACS Applied Materials & Interfaces. 15(11). 14131–14145. 3 indexed citations
6.
Hwangbo, Hanjun, Hyeongjin Lee, Eun‐Ju Jin, et al.. (2021). Bio-printing of aligned GelMa-based cell-laden structure for muscle tissue regeneration. Bioactive Materials. 8. 57–70. 84 indexed citations
7.
Lee, JaeYoon & GeunHyung Kim. (2020). A cryopreservable cell-laden GelMa-based scaffold fabricated using a 3D printing process supplemented with an in situ photo-crosslinking. Journal of Industrial and Engineering Chemistry. 85. 249–257. 16 indexed citations
8.
Choi, Eunji, et al.. (2018). 3D printed cell-laden collagen and hybrid scaffolds for in vivo articular cartilage tissue regeneration. Journal of Industrial and Engineering Chemistry. 66. 343–355. 64 indexed citations
9.
Lee, Hyeongjin, et al.. (2017). Fabrication of micro/nanoporous collagen/dECM/silk-fibroin biocomposite scaffolds using a low temperature 3D printing process for bone tissue regeneration. Materials Science and Engineering C. 84. 140–147. 110 indexed citations
10.
Jeon, Hojun, JaeYoon Lee, Hyeongjin Lee, & GeunHyung Kim. (2016). Nanostructured surface of electrospun PCL/dECM fibres treated with oxygen plasma for tissue engineering. RSC Advances. 6(39). 32887–32896. 19 indexed citations
11.
Lee, Sang‐Gu, et al.. (2015). Mathematics, Art and 3D-Printing in STEAM Education. 29(1). 35–49. 6 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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