Suryong Kim

655 total citations
13 papers, 508 citations indexed

About

Suryong Kim is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Suryong Kim has authored 13 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 5 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Suryong Kim's work include 3D Printing in Biomedical Research (11 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers) and Cancer Cells and Metastasis (3 papers). Suryong Kim is often cited by papers focused on 3D Printing in Biomedical Research (11 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers) and Cancer Cells and Metastasis (3 papers). Suryong Kim collaborates with scholars based in South Korea, United States and Armenia. Suryong Kim's co-authors include Byungjun Lee, Jihoon Ko, Younggyun Lee, Jungseub Lee, Jungho Ahn, Noo Li Jeon, Noo Li Jeon, Dohyun Park, Youngtaek Kim and Minjun Ahn and has published in prestigious journals such as Science Advances, Lab on a Chip and Biotechnology and Bioengineering.

In The Last Decade

Suryong Kim

12 papers receiving 505 citations

Peers

Suryong Kim
William L. Haisler United States
Younggyun Lee South Korea
Dohyun Park South Korea
Mouhita Humayun United States
Reyk Horland Germany
John A. Reid United States
Suryong Kim
Citations per year, relative to Suryong Kim Suryong Kim (= 1×) peers Dianjun Qi

Countries citing papers authored by Suryong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Suryong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suryong Kim

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

All Works

13 of 13 papers shown
1.
Kim, Youngtaek, Jungseub Lee, Sangmin Jung, et al.. (2024). Flow‐IMPACT: A Pumpless, High‐Throughput 3D Cell Culture Platform for Investigation of Synergistic Angiogenic Effects. Advanced Materials Technologies. 10(11).
2.
Jolly, Amber L., Suryong Kim, Byungjun Lee, et al.. (2024). High‐Throughput Microfluidic 3D Outer Blood‐Retinal Barrier Model in a 96‐Well Format: Analysis of Cellular Interactions and Barrier Function in Retinal Health and Disease. Advanced Materials Technologies. 9(22). 2 indexed citations
3.
Kim, Suryong, Jungseub Lee, Jihoon Ko, et al.. (2024). Angio-Net: deep learning-based label-free detection and morphometric analysis of in vitro angiogenesis. Lab on a Chip. 24(4). 751–763. 7 indexed citations
4.
Kim, Youngtaek, Jihoon Ko, Nari Shin, et al.. (2022). All‐in‐one microfluidic design to integrate vascularized tumor spheroid into high‐throughput platform. Biotechnology and Bioengineering. 119(12). 3678–3693. 21 indexed citations
5.
Lee, Byungjun, et al.. (2022). U-IMPACT: a universal 3D microfluidic cell culture platform. Microsystems & Nanoengineering. 8(1). 126–126. 21 indexed citations
6.
Yu, James, Somin Lee, Jiyoung Song, et al.. (2022). Perfusable micro-vascularized 3D tissue array for high-throughput vascular phenotypic screening. Nano Convergence. 9(1). 48 indexed citations
7.
Lee, Byungjun, Suryong Kim, Jihoon Ko, et al.. (2022). 3D micromesh-based hybrid bioprinting: multidimensional liquid patterning for 3D microtissue engineering. NPG Asia Materials. 14(1). 27 indexed citations
8.
Hyung, Sujin, Byungjun Lee, Youngtaek Kim, et al.. (2021). A 3D disease and regeneration model of peripheral nervous system–on–a–chip. Science Advances. 7(5). 41 indexed citations
9.
Kim, Suryong, et al.. (2021). Anchor‐IMPACT: A standardized microfluidic platform for high‐throughput antiangiogenic drug screening. Biotechnology and Bioengineering. 118(7). 2524–2535. 18 indexed citations
10.
Kim, Youngtaek, Jiyoung Song, Younggyun Lee, et al.. (2021). High-throughput injection molded microfluidic device for single-cell analysis of spatiotemporal dynamics. Lab on a Chip. 21(16). 3150–3158. 26 indexed citations
11.
Ko, Jihoon, Jungho Ahn, Suryong Kim, et al.. (2019). Tumor spheroid-on-a-chip: a standardized microfluidic culture platform for investigating tumor angiogenesis. Lab on a Chip. 19(17). 2822–2833. 168 indexed citations
12.
Park, Ju Young, Hyunryul Ryu, Byungjun Lee, et al.. (2018). Development of a functional airway-on-a-chip by 3D cell printing. Biofabrication. 11(1). 15002–15002. 116 indexed citations
13.
Kim, Jee Wook, Boung Chul Lee, Cheong Hoon Seo, et al.. (2012). The 5-item Alcohol Use Disorders Identification Test (AUDIT-5): An Effective Brief Screening Test for Problem Drinking, Alcohol Use Disorders and Alcohol Dependence. Alcohol and Alcoholism. 48(1). 68–73. 13 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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