Sang Jin Lee

25.3k total citations · 5 hit papers
451 papers, 18.9k citations indexed

About

Sang Jin Lee is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Sang Jin Lee has authored 451 papers receiving a total of 18.9k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Biomedical Engineering, 127 papers in Surgery and 83 papers in Molecular Biology. Recurrent topics in Sang Jin Lee's work include Tissue Engineering and Regenerative Medicine (73 papers), 3D Printing in Biomedical Research (71 papers) and Electrospun Nanofibers in Biomedical Applications (58 papers). Sang Jin Lee is often cited by papers focused on Tissue Engineering and Regenerative Medicine (73 papers), 3D Printing in Biomedical Research (71 papers) and Electrospun Nanofibers in Biomedical Applications (58 papers). Sang Jin Lee collaborates with scholars based in South Korea, United States and China. Sang Jin Lee's co-authors include James J. Yoo, Anthony Atala, In Kap Ko, Carlos Kengla, Hyun‐Wook Kang, Ick Chan Kwon, Gilson Khang, Jin San Choi, Kwangmeyung Kim and Young Min Ju and has published in prestigious journals such as Chemical Reviews, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Sang Jin Lee

409 papers receiving 18.5k citations

Hit Papers

A 3D bioprinting system t... 2016 2026 2019 2022 2016 2018 2018 2018 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang Jin Lee South Korea 66 10.3k 6.0k 4.9k 3.6k 3.5k 451 18.9k
Fergal J. O’Brien Ireland 81 14.1k 1.4× 9.2k 1.5× 7.1k 1.5× 1.4k 0.4× 4.0k 1.1× 375 25.2k
Benjamin M. Wu United States 64 7.6k 0.7× 3.9k 0.6× 4.1k 0.8× 1.8k 0.5× 3.2k 0.9× 309 16.1k
Nasim Annabi United States 79 13.0k 1.3× 9.2k 1.5× 4.7k 1.0× 2.3k 0.6× 2.1k 0.6× 193 22.5k
Lorenzo Moroni Netherlands 62 10.2k 1.0× 6.0k 1.0× 3.2k 0.7× 3.1k 0.9× 1.8k 0.5× 399 15.8k
Richard O. C. Oreffo United Kingdom 77 12.8k 1.2× 4.9k 0.8× 4.5k 0.9× 1.2k 0.3× 5.4k 1.5× 393 22.9k
Dong‐Woo Cho South Korea 71 14.7k 1.4× 4.6k 0.8× 5.2k 1.1× 6.6k 1.8× 2.4k 0.7× 373 19.6k
James J. Yoo United States 74 14.3k 1.4× 9.3k 1.5× 11.4k 2.3× 6.0k 1.6× 4.9k 1.4× 332 25.8k
Jürgen Gröll Germany 62 11.4k 1.1× 5.0k 0.8× 2.2k 0.4× 4.8k 1.3× 2.0k 0.6× 279 16.9k
Linda G. Griffith United States 71 11.2k 1.1× 5.4k 0.9× 3.6k 0.7× 1.1k 0.3× 5.4k 1.5× 221 21.0k
Masayuki Yamato Japan 86 12.5k 1.2× 10.1k 1.7× 10.1k 2.1× 1.0k 0.3× 4.8k 1.4× 506 28.4k

Countries citing papers authored by Sang Jin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang Jin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Jin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Jin Lee. A scholar is included among the top collaborators of Sang Jin 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 Sang Jin Lee. Sang Jin Lee 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.
Lee, Sang Jin, et al.. (2025). Analysis of Water Supply Feasibility of Urban Rainwater Harvesting Systems. Korean Society of Hazard Mitigation. 25(5). 223–230.
3.
Lee, Sang Jin, et al.. (2025). Challenges and perspectives in using finite element modeling to advance 3D bioprinting. PubMed. 7(3). 32004–32004.
4.
Lee, Sang Jin, et al.. (2023). Translational tissue-engineered vascular grafts: From bench to bedside. Biomaterials. 302. 122322–122322. 17 indexed citations
5.
Asthana, Amish, Riccardo Tamburrini, Carlo Gazia, et al.. (2023). Decellularized human pancreatic extracellular matrix-based physiomimetic microenvironment for human islet culture. Acta Biomaterialia. 171. 261–272. 8 indexed citations
6.
Mahadik, Bhushan, Anthony J. Melchiorri, Sang Jin Lee, et al.. (2022). An open-source bioink database for microextrusion 3D printing. Biofabrication. 15(1). 15008–15008. 14 indexed citations
7.
Park, YoungJoon, Young‐Sang Kim, Sang Jin Lee, et al.. (2021). Role of RGMc as a Neogenin Ligand in Follicular Development in the Ovary. Biomedicines. 9(3). 280–280.
8.
Gillispie, Gregory J., John P. Fisher, Antonios G. Mikos, et al.. (2020). The Influence of Printing Parameters and Cell Density on Bioink Printing Outcomes. Tissue Engineering Part A. 26(23-24). 1349–1358. 45 indexed citations
9.
Park, Jae Hong, Soo Yeon Jung, Myung Jin Ban, et al.. (2019). A 3D‐printed polycaprolactone/β‐tricalcium phosphate mandibular prosthesis: A pilot animal study. The Laryngoscope. 130(2). 358–366. 18 indexed citations
10.
Moroni, Lorenzo, Jason A. Burdick, Christopher B. Highley, et al.. (2018). Biofabrication strategies for 3D in vitro models and regenerative medicine. Nature Reviews Materials. 3(5). 21–37. 575 indexed citations breakdown →
11.
Lee, Sang Jin, et al.. (2016). A study on efficient detection of network-based IP spoofing DDoS and malware-infected Systems. SpringerPlus. 5(1). 1878–1878. 10 indexed citations
12.
Chang, Hae Ryung, Seungyoon Nam, Hae Rim Jung, et al.. (2016). Improving gastric cancer preclinical studies using diverse in vitro and in vivo model systems. BMC Cancer. 16(1). 200–200. 12 indexed citations
13.
Gonçalves, Ana I., Márcia T. Rodrigues, Sang Jin Lee, et al.. (2013). Understanding the Role of Growth Factors in Modulating Stem Cell Tenogenesis. PLoS ONE. 8(12). e83734–e83734. 88 indexed citations
14.
Yoon, Hong Yeol, Heebeom Koo, Ki Young Choi, et al.. (2012). Tumor-targeting hyaluronic acid nanoparticles for photodynamic imaging and therapy. Biomaterials. 33(15). 3980–3989. 243 indexed citations
15.
Lee, Sang Jin, et al.. (2010). Fraud detection for information reliability from the internet in forensic accounting. 網際網路技術學刊. 11(3). 323–331. 2 indexed citations
16.
Kim, Jong‐Il, Sang Jin Lee, James J. Yoo, et al.. (2008). Preparation and Characterization of PLGA Scaffold Impregnated Keratin for Tissue Engineering Application. 32(5). 403–408. 1 indexed citations
17.
Lee, Sang Jin, et al.. (2008). Effect of Keratin/PLGA Hybrid Scaffold for Chondrogenesis : In Vitro Test. Tissue Engineering and Regenerative Medicine. 5(4). 861–868. 1 indexed citations
18.
Kim, Moon Suk, et al.. (2007). Preparation of Sponge Using Porcine Small Intesinal Submucosa and Their Applications as a Scaffold and a Wound Dressing. Advances in experimental medicine and biology. 585. 209–222. 14 indexed citations
19.
Jang, Eun Hye, et al.. (2003). Development of Computer-assisted Memory Rehabilitation Programs for the Treatment of Memory Dysfunction in Patients with Brain Injury. Annals of Rehabilitation Medicine. 27(5). 667–674. 6 indexed citations
20.
Yoon, Ung Chan, et al.. (1994). Exploratory Study of Photocyclization Reactions of N-(Trimethylsilylmethylthioalkyl)phthalimides. Bulletin of the Korean Chemical Society. 15(2). 154–161. 11 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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