Seokyoung Bang

893 total citations
25 papers, 717 citations indexed

About

Seokyoung Bang is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Seokyoung Bang has authored 25 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 16 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Seokyoung Bang's work include 3D Printing in Biomedical Research (18 papers), Neuroscience and Neural Engineering (13 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (6 papers). Seokyoung Bang is often cited by papers focused on 3D Printing in Biomedical Research (18 papers), Neuroscience and Neural Engineering (13 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (6 papers). Seokyoung Bang collaborates with scholars based in South Korea, United States and Russia. Seokyoung Bang's co-authors include Hong Nam Kim, Byungjun Lee, Nakwon Choi, Noo Li Jeon, Dongha Tahk, Jihoon Ko, Kyungmin Son, Changkyun Im, Jungho Ahn and Sohyeon Jeong and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Seokyoung Bang

23 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seokyoung Bang South Korea 14 503 289 170 108 72 25 717
David A. Soscia United States 13 387 0.8× 356 1.2× 148 0.9× 59 0.5× 140 1.9× 16 773
Jeongmoon J. Choi United States 9 422 0.8× 146 0.5× 149 0.9× 100 0.9× 51 0.7× 14 708
Doris Lam United States 13 180 0.4× 313 1.1× 142 0.8× 144 1.3× 42 0.6× 22 628
Song Ih Ahn South Korea 10 375 0.7× 121 0.4× 153 0.9× 119 1.1× 99 1.4× 17 662
Sergei Grebenyuk Ukraine 8 302 0.6× 310 1.1× 326 1.9× 50 0.5× 26 0.4× 13 743
Samuel Sances United States 9 602 1.2× 318 1.1× 648 3.8× 217 2.0× 44 0.6× 11 1.3k
Nienke R. Wevers Netherlands 7 327 0.7× 153 0.5× 165 1.0× 167 1.5× 38 0.5× 10 552
Yunqian Guan China 17 275 0.5× 143 0.5× 443 2.6× 85 0.8× 163 2.3× 45 1.0k
Jan M. Bruder Germany 12 292 0.6× 313 1.1× 437 2.6× 35 0.3× 57 0.8× 21 899
Shashwati Kala Hong Kong 12 443 0.9× 103 0.4× 202 1.2× 61 0.6× 60 0.8× 16 750

Countries citing papers authored by Seokyoung Bang

Since Specialization
Citations

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

Fields of papers citing papers by Seokyoung Bang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seokyoung Bang

This figure shows the co-authorship network connecting the top 25 collaborators of Seokyoung Bang. A scholar is included among the top collaborators of Seokyoung Bang 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 Seokyoung Bang. Seokyoung Bang 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.
Song, Jiyoung, et al.. (2025). Augmented 3D Printing for Multiscale Microphysiological Systems. Small. 21(43). e2504750–e2504750.
3.
Bang, Seokyoung, et al.. (2023). Modulating and monitoring the functionality of corticostriatal circuits using an electrostimulable microfluidic device. Molecular Brain. 16(1). 13–13. 6 indexed citations
4.
Park, Byoungho, Seokyoung Bang, Hyo‐Suk Kim, et al.. (2023). Eye‐Mimicked Neural Network Composed of Photosensitive Neural Spheroids with Human Opsin Proteins. Advanced Materials. 35(35). e2302996–e2302996. 2 indexed citations
5.
Jeong, Sohyeon, Gyu‐Sang Hong, Min‐Ho Nam, et al.. (2023). Integration of reconfigurable microchannels into aligned three-dimensional neural networks for spatially controllable neuromodulation. Science Advances. 9(10). eadf0925–eadf0925. 5 indexed citations
6.
Bang, Seokyoung, Dongha Tahk, Young Hwan Choi, et al.. (2022). 3D Microphysiological System‐Inspired Scalable Vascularized Tissue Constructs for Regenerative Medicine (Adv. Funct. Mater. 1/2022). Advanced Functional Materials. 32(1). 1 indexed citations
7.
Lee, Byung Hun, Seokyoung Bang, Byungjun Lee, Noo Li Jeon, & Hye Yoon Park. (2022). Dynamics of axonal β‐actin mRNA in live hippocampal neurons. Traffic. 23(10). 496–505. 4 indexed citations
8.
Song, Jiyoung, Seokyoung Bang, Nakwon Choi, & Hong Nam Kim. (2022). Brain organoid-on-a-chip: A next-generation human brain avatar for recapitulating human brain physiology and pathology. Biomicrofluidics. 16(6). 61301–61301. 16 indexed citations
9.
Seo, Yoojin, Seokyoung Bang, Dongsup Kim, et al.. (2021). Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain. Bioactive Materials. 13. 135–148. 20 indexed citations
10.
Bang, Seokyoung, Sohyeon Jeong, Il‐Joo Cho, et al.. (2021). Engineered neural circuits for modeling brain physiology and neuropathology. Acta Biomaterialia. 132. 379–400. 25 indexed citations
11.
Bang, Seokyoung, Dongha Tahk, Young Hwan Choi, et al.. (2021). 3D Microphysiological System‐Inspired Scalable Vascularized Tissue Constructs for Regenerative Medicine. Advanced Functional Materials. 32(1). 13 indexed citations
12.
Bang, Seokyoung, et al.. (2021). Three-Dimensional Axotomy and Regeneration on Open-Access Microfluidic Platform. IEEE Transactions on NanoBioscience. 21(3). 395–404. 5 indexed citations
13.
Nocera, Gianluigi, Boris Egger, Felix Meyenhofer, et al.. (2019). Injured Axons Instruct Schwann Cells to Build Constricting Actin Spheres to Accelerate Axonal Disintegration. Cell Reports. 27(11). 3152–3166.e7. 46 indexed citations
14.
Hyung, Sujin, Byungjun Lee, Seokyoung Bang, et al.. (2019). Optogenetic neuronal stimulation promotes axon outgrowth and myelination of motor neurons in a three‐dimensional motor neuron–Schwann cell coculture model on a microfluidic biochip. Biotechnology and Bioengineering. 116(10). 2425–2438. 24 indexed citations
15.
Bang, Seokyoung, Sohyeon Jeong, Nakwon Choi, & Hong Nam Kim. (2019). Brain-on-a-chip: A history of development and future perspective. Biomicrofluidics. 13(5). 51301–51301. 82 indexed citations
16.
Kim, Min Sung, Byungjun Lee, Hong Nam Kim, et al.. (2017). 3D tissue formation by stacking detachable cell sheets formed on nanofiber mesh. Biofabrication. 9(1). 15029–15029. 38 indexed citations
17.
Bang, Seokyoung, Byungjun Lee, Jihoon Ko, et al.. (2017). A Low Permeability Microfluidic Blood-Brain Barrier Platform with Direct Contact between Perfusable Vascular Network and Astrocytes. Scientific Reports. 7(1). 8083–8083. 201 indexed citations
18.
Tahk, Dongha, et al.. (2017). Rapid large area fabrication of multiscale through-hole membranes. Lab on a Chip. 17(10). 1817–1825. 29 indexed citations
19.
Bang, Seokyoung, Daehun Park, Jinhyun Kim, et al.. (2016). Microfluidic neural axon diode. 4(4). 240–248. 23 indexed citations
20.
Bang, Seokyoung, et al.. (2015). Engineering‐Aligned 3D Neural Circuit in Microfluidic Device. Advanced Healthcare Materials. 5(1). 159–166. 64 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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