Donggu Kang

773 total citations
18 papers, 621 citations indexed

About

Donggu Kang is a scholar working on Biomedical Engineering, Automotive Engineering and Biomaterials. According to data from OpenAlex, Donggu Kang has authored 18 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 7 papers in Automotive Engineering and 6 papers in Biomaterials. Recurrent topics in Donggu Kang's work include 3D Printing in Biomedical Research (9 papers), Additive Manufacturing and 3D Printing Technologies (7 papers) and Bone Tissue Engineering Materials (5 papers). Donggu Kang is often cited by papers focused on 3D Printing in Biomedical Research (9 papers), Additive Manufacturing and 3D Printing Technologies (7 papers) and Bone Tissue Engineering Materials (5 papers). Donggu Kang collaborates with scholars based in South Korea, Mexico and United States. Donggu Kang's co-authors include Won‐Soo Yun, Jin‐Hyung Shim, Songwan Jin, Il Ho Jang, Geunseon Ahn, Seokhwan Yun, Hojun Jeon, Sang‐Hyun An, Junyoung Kim and Kyunghyun Min and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and International Journal of Molecular Sciences.

In The Last Decade

Donggu Kang

18 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donggu Kang South Korea 12 484 237 141 120 114 18 621
Natalie Lawrence United States 8 609 1.3× 324 1.4× 134 1.0× 84 0.7× 71 0.6× 8 707
Ashley N. Leberfinger United States 12 355 0.7× 181 0.8× 270 1.9× 77 0.6× 154 1.4× 15 704
Dawn Bannerman Canada 11 399 0.8× 60 0.3× 108 0.8× 144 1.2× 89 0.8× 17 524
Negar Faramarzi United States 8 289 0.6× 136 0.6× 106 0.8× 156 1.3× 64 0.6× 19 472
Claire G. Jeong United States 13 475 1.0× 67 0.3× 204 1.4× 264 2.2× 64 0.6× 17 788
Jae Seo Lee South Korea 16 445 0.9× 57 0.2× 164 1.2× 233 1.9× 143 1.3× 27 797
E. O. Osidak Russia 12 528 1.1× 202 0.9× 121 0.9× 222 1.9× 86 0.8× 36 709
Zhi Peng China 7 312 0.6× 88 0.4× 94 0.7× 148 1.2× 170 1.5× 12 700
Jan D. Baranski United States 6 453 0.9× 52 0.2× 220 1.6× 271 2.3× 120 1.1× 8 646
Akhilandeshwari Ravichandran Australia 12 298 0.6× 50 0.2× 90 0.6× 141 1.2× 109 1.0× 23 491

Countries citing papers authored by Donggu Kang

Since Specialization
Citations

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

Fields of papers citing papers by Donggu Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donggu Kang

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

All Works

18 of 18 papers shown
1.
Kang, Donggu, Jeong-Seok Lee, Hojun Jeon, et al.. (2024). 3D-bioprinted cell-laden blood vessel with dual drug delivery nanoparticles for advancing vascular regeneration. International Journal of Bioprinting. 10(1). 1857–1857. 1 indexed citations
2.
Lee, Dong‐Hyun, Kyoung Ho Lee, Woong Bi Jang, et al.. (2024). 3D-bioprinted bone scaffolds incorporating SR1 nanoparticles enhance blood vessel regeneration in rat calvarial defects. International Journal of Bioprinting. 0(0). 1931–1931. 1 indexed citations
3.
Lee, Hye Yeong, et al.. (2023). A multi-channel collagen conduit with aligned Schwann cells and endothelial cells for enhanced neuronal regeneration in spinal cord injury. Biomaterials Science. 11(24). 7884–7896. 11 indexed citations
4.
Kang, Donggu, Eun‐Jeong Choi, Jeong-Seok Lee, et al.. (2022). FeS2-incorporated 3D PCL scaffold improves new bone formation and neovascularization in a rat calvarial defect model. International Journal of Bioprinting. 9(1). 636–636. 6 indexed citations
5.
Kang, Donggu, Sang‐Hyun An, Jeong Yeop Ryu, et al.. (2022). Advances in the development of tubular structures using extrusion-based 3D cell-printing technology for vascular tissue regenerative applications. Biomaterials Research. 26(1). 73–73. 23 indexed citations
6.
Yang, Gi Hoon, Donggu Kang, Eun-Jeong Choi, et al.. (2021). Overcome the barriers of the skin: exosome therapy. Biomaterials Research. 25(1). 22–22. 75 indexed citations
7.
Choi, Eun‐Jeong, Donggu Kang, MyungGu Yeo, et al.. (2021). 3D-printed gelatin methacrylate (GelMA)/silanated silica scaffold assisted by two-stage cooling system for hard tissue regeneration. Regenerative Biomaterials. 8(2). rbab001–rbab001. 38 indexed citations
8.
Yang, Gi Hoon, MyungGu Yeo, Eun‐Jeong Choi, et al.. (2021). Investigating the physical characteristics and cellular interplay on 3D-printed scaffolds depending on the incorporated silica size for hard tissue regeneration. Materials & Design. 207. 109866–109866. 12 indexed citations
9.
Kang, Donggu, et al.. (2020). Bioprinting of Multiscaled Hepatic Lobules within a Highly Vascularized Construct. Small. 16(13). e1905505–e1905505. 135 indexed citations
11.
Yun, Seokhwan, Eun‐Jeong Choi, Donggu Kang, et al.. (2019). Proliferation and osteogenic differentiation of human mesenchymal stem cells in PCL/silanated silica composite scaffolds for bone tissue regeneration. Journal of Industrial and Engineering Chemistry. 79. 41–51. 13 indexed citations
12.
Kang, Donggu, Geunseon Ahn, Hyun‐Wook Kang, et al.. (2018). Pre-set extrusion bioprinting for multiscale heterogeneous tissue structure fabrication. Biofabrication. 10(3). 35008–35008. 69 indexed citations
14.
Lee, Minji, Seokhwan Yun, Donggu Kang, et al.. (2018). Fabrication and characterization of 3D-printed biocomposite scaffolds based on PCL and silanated silica particles for bone tissue regeneration. Chemical Engineering Journal. 360. 519–530. 41 indexed citations
15.
Ahn, Geunseon, Kyunghyun Min, Changhwan Kim, et al.. (2017). Precise stacking of decellularized extracellular matrix based 3D cell-laden constructs by a 3D cell printing system equipped with heating modules. Scientific Reports. 7(1). 8624–8624. 129 indexed citations
16.
Kang, Donggu, Il Ho Jang, Won‐Soo Yun, et al.. (2017). Fabrication of In Vitro Cancer Microtissue Array on Fibroblast-Layered Nanofibrous Membrane by Inkjet Printing. International Journal of Molecular Sciences. 18(11). 2348–2348. 23 indexed citations
17.
Kang, Donggu, Jeong Hwa Kim, Young Hun Jeong, et al.. (2016). Endothelial monolayers on collagen-coated nanofibrous membranes: cell–cell and cell–ECM interactions. Biofabrication. 8(2). 25008–25008. 30 indexed citations
18.
Kim, Heung Up, Eun Kwang Choi, Donggu Kang, et al.. (2008). Distribution of hepatitis C virus genotypes in Jeju Island. The Korean Journal of Hepatology. 14(1). 28–28. 7 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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