Yu Bin Lee

2.7k total citations
52 papers, 2.3k citations indexed

About

Yu Bin Lee is a scholar working on Biomedical Engineering, Biomaterials and Surgery. According to data from OpenAlex, Yu Bin Lee has authored 52 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Biomedical Engineering, 22 papers in Biomaterials and 12 papers in Surgery. Recurrent topics in Yu Bin Lee's work include 3D Printing in Biomedical Research (25 papers), Electrospun Nanofibers in Biomedical Applications (21 papers) and Bone Tissue Engineering Materials (10 papers). Yu Bin Lee is often cited by papers focused on 3D Printing in Biomedical Research (25 papers), Electrospun Nanofibers in Biomedical Applications (21 papers) and Bone Tissue Engineering Materials (10 papers). Yu Bin Lee collaborates with scholars based in South Korea, United States and Japan. Yu Bin Lee's co-authors include Heungsoo Shin, Young Min Shin, Eben Alsberg, Sang Jin Lee, Oju Jeon, Indong Jun, Jin‐Kyu Lee, Jong‐Chul Park, Jae Kyeong Kang and Derrick Wells and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Yu Bin Lee

48 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Bin Lee South Korea 25 1.4k 862 579 400 291 52 2.3k
Julian H. George United Kingdom 16 2.1k 1.4× 1.6k 1.8× 356 0.6× 554 1.4× 149 0.5× 22 3.3k
Indong Jun South Korea 21 1.3k 0.9× 1.4k 1.6× 297 0.5× 524 1.3× 92 0.3× 42 2.2k
Elena Filová Czechia 20 1.3k 0.9× 1.1k 1.3× 309 0.5× 723 1.8× 104 0.4× 59 2.2k
Yusuke Arima Japan 17 1.3k 0.9× 838 1.0× 575 1.0× 376 0.9× 78 0.3× 53 2.5k
Hai Bang Lee South Korea 34 1.6k 1.1× 1.5k 1.7× 695 1.2× 528 1.3× 99 0.3× 80 3.3k
Mahrokh Dadsetan United States 31 1.2k 0.8× 906 1.1× 216 0.4× 516 1.3× 120 0.4× 53 2.4k
Fei Yu China 23 1.1k 0.8× 578 0.7× 215 0.4× 333 0.8× 167 0.6× 55 2.1k
Taek Gyoung Kim South Korea 17 2.0k 1.4× 2.2k 2.6× 583 1.0× 980 2.5× 371 1.3× 20 3.5k
Sahar Salehi Germany 30 1.6k 1.1× 1.1k 1.3× 137 0.2× 509 1.3× 400 1.4× 74 2.8k
Mohammad Mahdi Hasani‐Sadrabadi United States 41 2.1k 1.5× 951 1.1× 161 0.3× 285 0.7× 360 1.2× 96 4.2k

Countries citing papers authored by Yu Bin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yu Bin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Bin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Bin Lee. A scholar is included among the top collaborators of Yu Bin 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 Yu Bin Lee. Yu Bin 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, Yu Bin, et al.. (2025). Cyclodextrins as multifunctional tools for advanced biomaterials in tissue repair and regeneration. Bioactive Materials. 49. 627–651. 7 indexed citations
2.
3.
Park, Daeui, et al.. (2024). Amplified response of drug-induced liver fibrosis via immune cell co-culture in a 3D in vitro hepatic fibrosis model. Biomaterials Science. 12(24). 6351–6367. 2 indexed citations
4.
5.
Gwak, So‐Jung, et al.. (2023). The use of acetylation to improve the performance of hyaluronic acid-based dermal filler. Korean Journal of Chemical Engineering. 40(8). 1963–1969. 5 indexed citations
6.
Park, Tamina, Inhye Kim, Myeongjin Choi, et al.. (2023). Development of an In Vitro Model for Inflammation Mediated Renal Toxicity Using 3D Renal Tubules and Co-Cultured Human Immune Cells. Tissue Engineering and Regenerative Medicine. 20(7). 1173–1190. 1 indexed citations
7.
Kim, Ga‐Eon, et al.. (2023). Development of Alternative Reductant using Biomass for Reducing CO<sub>2</sub> in Ironmaking Process. Korean Journal of Metals and Materials. 61(3). 218–230. 6 indexed citations
8.
Jeon, Oju, et al.. (2021). Stem cell-laden hydrogel bioink for generation of high resolution and fidelity engineered tissues with complex geometries. Bioactive Materials. 15. 185–193. 32 indexed citations
9.
Nulty, Jessica, Fiona E. Freeman, David C. Browe, et al.. (2021). 3D bioprinting of prevascularised implants for the repair of critically-sized bone defects. Acta Biomaterialia. 126. 154–169. 105 indexed citations
10.
Lee, Junmin, Oju Jeon, Ming Kong, et al.. (2020). Combinatorial screening of biochemical and physical signals for phenotypic regulation of stem cell–based cartilage tissue engineering. Science Advances. 6(21). eaaz5913–eaaz5913. 49 indexed citations
11.
Kim, Eun Mi, Yu Bin Lee, Se‐Jeong Kim, et al.. (2019). Fabrication of core-shell spheroids as building blocks for engineering 3D complex vascularized tissue. Acta Biomaterialia. 100. 158–172. 39 indexed citations
12.
Byun, Hayeon, Yu Bin Lee, Eun Mi Kim, & Heungsoo Shin. (2019). Fabrication of size-controllable human mesenchymal stromal cell spheroids from micro-scaled cell sheets. Biofabrication. 11(3). 35025–35025. 18 indexed citations
13.
Kim, Eun Mi, et al.. (2018). Fabrication of Spheroids with Uniform Size by Self-Assembly of a Micro-Scaled Cell Sheet (μCS): The Effect of Cell Contraction on Spheroid Formation. ACS Applied Materials & Interfaces. 11(3). 2802–2813. 22 indexed citations
14.
Lee, Yu Bin, Hayeon Byun, Taufiq Ahmad, et al.. (2017). One-step delivery of a functional multi-layered cell sheet using a thermally expandable hydrogel with controlled presentation of cell adhesive proteins. Biofabrication. 10(2). 25001–25001. 15 indexed citations
15.
Perikamana, Sajeesh Kumar Madhurakkat, Young Min Shin, Jin Kyu Lee, et al.. (2017). Graded functionalization of biomaterial surfaces using mussel-inspired adhesive coating of polydopamine. Colloids and Surfaces B Biointerfaces. 159. 546–556. 25 indexed citations
16.
17.
Lee, Yu Bin, et al.. (2016). Mussel adhesive protein inspired coatings on temperature-responsive hydrogels for cell sheet engineering. Journal of Materials Chemistry B. 4(36). 6012–6022. 31 indexed citations
18.
Shin, Young Min, et al.. (2015). Effect of immobilized collagen type IV on biological properties of endothelial cells for the enhanced endothelialization of synthetic vascular graft materials. Colloids and Surfaces B Biointerfaces. 134. 196–203. 34 indexed citations
19.
Ahmad, Taufiq, et al.. (2015). Delivery of a Cell Patch of Cocultured Endothelial Cells and Smooth Muscle Cells Using Thermoresponsive Hydrogels for Enhanced Angiogenesis. Tissue Engineering Part A. 22(1-2). 182–193. 18 indexed citations
20.
Bhang, Suk Ho, Sung In Jeong, Tae‐Jin Lee, et al.. (2011). Electroactive Electrospun Polyaniline/Poly[(L‐lactide)‐co‐(ε‐caprolactone)] Fibers for Control of Neural Cell Function. Macromolecular Bioscience. 12(3). 402–411. 50 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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