Sungjin Min

1.4k total citations · 1 hit paper
21 papers, 1.1k citations indexed

About

Sungjin Min is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Sungjin Min has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 10 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Sungjin Min's work include 3D Printing in Biomedical Research (11 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). Sungjin Min is often cited by papers focused on 3D Printing in Biomedical Research (11 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). Sungjin Min collaborates with scholars based in South Korea, United States and Australia. Sungjin Min's co-authors include Seung‐Woo Cho, Suran Kim, Yoonhee Jin, Yun‐Gon Kim, Jin Kim, Jung Seung Lee, Soohwan An, Yi Sun Choi, Sung‐Hyun Jo and Yong Woo Ji and has published in prestigious journals such as Advanced Materials, Nature Communications and Nature Materials.

In The Last Decade

Sungjin Min

21 papers receiving 1.1k citations

Hit Papers

Tissue extracellular matrix hydrogels as alternatives to ... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungjin Min South Korea 14 615 320 307 212 210 21 1.1k
Hannah Grover United States 6 869 1.4× 192 0.6× 356 1.2× 152 0.7× 247 1.2× 11 1.5k
Cheuk Sun Edwin Lai United States 7 1.3k 2.2× 271 0.8× 274 0.9× 240 1.1× 138 0.7× 7 1.6k
Elizabeth A. Aisenbrey United States 13 678 1.1× 273 0.9× 325 1.1× 274 1.3× 234 1.1× 17 1.2k
Nupura S. Bhise United States 9 1.6k 2.6× 290 0.9× 480 1.6× 330 1.6× 143 0.7× 11 2.1k
Kyung Shin Kang United States 18 1.1k 1.8× 244 0.8× 445 1.4× 221 1.0× 282 1.3× 29 1.7k
Yi Sun Choi South Korea 13 431 0.7× 264 0.8× 143 0.5× 239 1.1× 129 0.6× 19 803
Yongchao Mou United States 14 1.0k 1.7× 440 1.4× 564 1.8× 373 1.8× 274 1.3× 25 2.0k
Claire Yu United States 20 1.4k 2.3× 635 2.0× 247 0.8× 577 2.7× 152 0.7× 26 2.2k
Chelsea L. Fortin United States 4 1.1k 1.8× 306 1.0× 292 1.0× 237 1.1× 99 0.5× 6 1.5k
Matthew Leung United States 20 865 1.4× 295 0.9× 380 1.2× 716 3.4× 204 1.0× 22 1.5k

Countries citing papers authored by Sungjin Min

Since Specialization
Citations

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

Fields of papers citing papers by Sungjin Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungjin Min

This figure shows the co-authorship network connecting the top 25 collaborators of Sungjin Min. A scholar is included among the top collaborators of Sungjin 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 Sungjin Min. Sungjin 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.
Park, Young‐Geun, Sumin Kim, Sungjin Min, et al.. (2025). Soft 3D Bioelectrodes for Intraorganoid Signal Monitoring in Cardiac Models. Nano Letters. 25(16). 6481–6490. 4 indexed citations
2.
Min, Sungjin, et al.. (2024). Advanced lung organoids for respiratory system and pulmonary disease modeling. Journal of Tissue Engineering. 15. 19 indexed citations
3.
Min, Sungjin, Soohwan An, Ernesto Criado-Hidalgo, et al.. (2023). Magneto-acoustic protein nanostructures for non-invasive imaging of tissue mechanics in vivo. Nature Materials. 23(2). 290–300. 21 indexed citations
4.
Min, Sungjin & Seung‐Woo Cho. (2022). Engineered human cardiac tissues for modeling heart diseases. BMB Reports. 56(1). 32–42. 8 indexed citations
5.
Jin, Yoonhee, Hyeok Kim, Sungjin Min, et al.. (2022). Three-dimensional heart extracellular matrix enhances chemically induced direct cardiac reprogramming. Science Advances. 8(50). eabn5768–eabn5768. 24 indexed citations
6.
Kim, Moohyun, Jae Chul Hwang, Sungjin Min, et al.. (2022). Multimodal Characterization of Cardiac Organoids Using Integrations of Pressure-Sensitive Transistor Arrays with Three-Dimensional Liquid Metal Electrodes. Nano Letters. 22(19). 7892–7901. 42 indexed citations
7.
Kim, Suran, Sungjin Min, Yi Sun Choi, et al.. (2022). Tissue extracellular matrix hydrogels as alternatives to Matrigel for culturing gastrointestinal organoids. Nature Communications. 13(1). 1692–1692. 245 indexed citations breakdown →
8.
Jin, Yoonhee, Eun Je Jeon, Sohyeon Jeong, et al.. (2021). Reconstruction of Muscle Fascicle‐Like Tissues by Anisotropic 3D Patterning. Advanced Functional Materials. 31(25). 29 indexed citations
9.
An, Soohwan, Soojeong Choi, Sungjin Min, & Seung‐Woo Cho. (2021). Hyaluronic Acid-based Biomimetic Hydrogels for Tissue Engineering and Medical Applications. Biotechnology and Bioprocess Engineering. 26(4). 503–516. 33 indexed citations
10.
Min, Sungjin, et al.. (2020). Biphasic Electrical Pulse by a Micropillar Electrode Array Enhances Maturation and Drug Response of Reprogrammed Cardiac Spheroids. Nano Letters. 20(10). 6947–6956. 13 indexed citations
11.
Min, Sungjin, Suran Kim, & Seung‐Woo Cho. (2020). Gastrointestinal tract modeling using organoids engineered with cellular and microbiota niches. Experimental & Molecular Medicine. 52(2). 227–237. 102 indexed citations
12.
Shin, Jisoo, Soojeong Choi, Jung Hyun Kim, et al.. (2019). Tissue Tapes—Phenolic Hyaluronic Acid Hydrogel Patches for Off‐the‐Shelf Therapy. Advanced Functional Materials. 29(49). 129 indexed citations
13.
Shin, Jisoo, Soojeong Choi, Jung Ho Cho, et al.. (2019). Tissue Adhesives: Tissue Tapes—Phenolic Hyaluronic Acid Hydrogel Patches for Off‐the‐Shelf Therapy (Adv. Funct. Mater. 49/2019). Advanced Functional Materials. 29(49). 7 indexed citations
14.
Jin, Yoonhee, Jin Kim, Jung Seung Lee, et al.. (2018). Vascularized Liver Organoids Generated Using Induced Hepatic Tissue and Dynamic Liver‐Specific Microenvironment as a Drug Testing Platform. Advanced Functional Materials. 28(37). 139 indexed citations
15.
Min, Sungjin, Yoonhee Jin, Chen Hou, et al.. (2018). Bacterial tRNase–Based Gene Therapy with Poly(β‐Amino Ester) Nanoparticles for Suppressing Melanoma Tumor Growth and Relapse. Advanced Healthcare Materials. 7(16). e1800052–e1800052. 12 indexed citations
16.
Kim, Suran, et al.. (2018). Organoids for Advanced Therapeutics and Disease Models. Advanced Therapeutics. 2(1). 27 indexed citations
17.
Jin, Yoonhee, Jung Seung Lee, Jin Kim, et al.. (2018). Three-dimensional brain-like microenvironments facilitate the direct reprogramming of fibroblasts into therapeutic neurons. Nature Biomedical Engineering. 2(7). 522–539. 92 indexed citations
20.
Jin, Yoonhee, Jung Seung Lee, Sungjin Min, et al.. (2016). Bioengineered Extracellular Membranous Nanovesicles for Efficient Small‐Interfering RNA Delivery: Versatile Platforms for Stem Cell Engineering and In Vivo Delivery. Advanced Functional Materials. 26(32). 5804–5817. 26 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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