Sangjun Moon

3.3k total citations · 1 hit paper
53 papers, 2.6k citations indexed

About

Sangjun Moon is a scholar working on Biomedical Engineering, Molecular Biology and Biophysics. According to data from OpenAlex, Sangjun Moon has authored 53 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 12 papers in Molecular Biology and 9 papers in Biophysics. Recurrent topics in Sangjun Moon's work include 3D Printing in Biomedical Research (13 papers), Biosensors and Analytical Detection (8 papers) and Cell Image Analysis Techniques (8 papers). Sangjun Moon is often cited by papers focused on 3D Printing in Biomedical Research (13 papers), Biosensors and Analytical Detection (8 papers) and Cell Image Analysis Techniques (8 papers). Sangjun Moon collaborates with scholars based in United States, South Korea and Finland. Sangjun Moon's co-authors include Utkan Demirci, Feng Xu, Hikmet Geçkil, Xiaohui Zhang, Daniel R. Kuritzkes, Hasan Onur Keleş, Edward Hæggström, Young Seok Song, Imran Rizvi and Jonathan P. Celli and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

Sangjun Moon

51 papers receiving 2.5k citations

Hit Papers

Engineering Hydrogels as Extracellular Matrix Mimics 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangjun Moon United States 21 1.7k 536 440 305 263 53 2.6k
Angelo S. Mao United States 21 2.9k 1.8× 1.3k 2.4× 838 1.9× 190 0.6× 324 1.2× 26 4.9k
Mahmut Selman Sakar Switzerland 33 3.1k 1.9× 521 1.0× 389 0.9× 160 0.5× 127 0.5× 84 4.9k
Peyton Tebon United States 17 958 0.6× 277 0.5× 286 0.7× 218 0.7× 158 0.6× 26 1.8k
William J. Polacheck United States 25 2.2k 1.3× 1.2k 2.2× 408 0.9× 149 0.5× 662 2.5× 58 4.0k
Sinan Güven United States 24 1.6k 0.9× 342 0.6× 384 0.9× 288 0.9× 184 0.7× 47 2.4k
Justin Liu United States 24 2.1k 1.2× 622 1.2× 330 0.8× 956 3.1× 349 1.3× 54 3.0k
Alice A. Chen United States 14 2.1k 1.2× 763 1.4× 629 1.4× 585 1.9× 179 0.7× 14 3.1k
Glauco R. Souza United States 25 1.8k 1.0× 717 1.3× 331 0.8× 287 0.9× 635 2.4× 50 2.8k
Ying Zheng United States 38 2.3k 1.4× 1.5k 2.8× 764 1.7× 236 0.8× 500 1.9× 132 4.9k
John T. Connelly United Kingdom 33 1.8k 1.1× 1.4k 2.7× 660 1.5× 72 0.2× 244 0.9× 62 4.4k

Countries citing papers authored by Sangjun Moon

Since Specialization
Citations

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

Fields of papers citing papers by Sangjun Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangjun Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Sangjun Moon. A scholar is included among the top collaborators of Sangjun Moon 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 Sangjun Moon. Sangjun Moon 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.
Kim, Cheesue, Hyeok Kim, Woo‐Sup Sim, et al.. (2024). Spatiotemporal control of neutrophil fate to tune inflammation and repair for myocardial infarction therapy. Nature Communications. 15(1). 8481–8481. 20 indexed citations
2.
Chu, Won‐Shik, et al.. (2023). Novel Fabrication of 3-D Cell Laden Micro-Patterned Porous Structure on Cell Growth and Proliferation by Layered Manufacturing. Bioengineering. 10(9). 1092–1092. 3 indexed citations
3.
Hong, Jihye, Mungyo Jung, Cheesue Kim, et al.. (2023). Senescent cancer cell-derived nanovesicle as a personalized therapeutic cancer vaccine. Experimental & Molecular Medicine. 55(3). 541–554. 21 indexed citations
4.
Moon, Sangjun, Jihye Hong, Seokhyeong Go, & Byung‐Soo Kim. (2023). Immunomodulation for Tissue Repair and Regeneration. Tissue Engineering and Regenerative Medicine. 20(3). 389–409. 25 indexed citations
5.
Moon, Sangjun. (2023). Extending the Shelf-Life of Immunoassay-Based Microfluidic Chips through Freeze-Drying Sublimation Techniques. Sensors. 23(20). 8524–8524. 4 indexed citations
6.
Kwon, Sung Pil, Seuk Young Song, Jin Yoo, et al.. (2021). Multilayered Cell Sheets of Cardiac Reprogrammed Cells for the Evaluation of Drug Cytotoxicity. Tissue Engineering and Regenerative Medicine. 18(5). 807–818. 5 indexed citations
7.
Lee, Jiyeong, et al.. (2018). Human-level blood cell counting on lens-free shadow images exploiting deep neural networks. The Analyst. 143(22). 5380–5387. 11 indexed citations
8.
Shin, Soojeong, Ishtiaq Ahmed, Jangsun Hwang, et al.. (2016). A Microfluidic Approach to Investigating a Synergistic Effect of Tobramycin and Sodium Dodecyl Sulfate on Pseudomonas aeruginosa Biofilms. Analytical Sciences. 32(1). 67–73. 11 indexed citations
9.
Lim, Heejin & Sangjun Moon. (2015). Stable nonpolar solvent droplet generation using a poly(dimethylsiloxane) microfluidic channel coated with poly-p-xylylene for a nanoparticle growth. Biomedical Microdevices. 17(4). 70–70. 10 indexed citations
10.
Kim, Hyung Seok, et al.. (2013). A robust cell counting approach based on a normalized 2D cross-correlation scheme for in-line holographic images. Lab on a Chip. 13(17). 3398–3398. 6 indexed citations
11.
Moon, Sangjun, Umut A. Gürkan, Wafaie Fawzi, et al.. (2011). Enumeration of CD4+ T-Cells Using a Portable Microchip Count Platform in Tanzanian HIV-Infected Patients. PLoS ONE. 6(7). e21409–e21409. 70 indexed citations
12.
Moon, Sangjun, Lei Shao, Xiaohui Zhang, et al.. (2011). Blood Banking in Living Droplets. PLoS ONE. 6(3). e17530–e17530. 32 indexed citations
13.
Moon, Sangjun, Yun‐Gon Kim, Michael J. Lombardi, et al.. (2011). Drop-on-Demand Single Cell Isolation and Total RNA Analysis. PLoS ONE. 6(3). e17455–e17455. 47 indexed citations
14.
Moon, Sangjun, Elvan Ceyhan, Umut A. Gürkan, & Utkan Demirci. (2011). Statistical Modeling of Single Target Cell Encapsulation. PLoS ONE. 6(7). e21580–e21580. 46 indexed citations
15.
Gürkan, Umut A., Sangjun Moon, Hikmet Geçkil, et al.. (2011). Miniaturized lensless imaging systems for cell and microorganism visualization in point‐of‐care testing. Biotechnology Journal. 6(2). 138–149. 83 indexed citations
16.
Xu, Feng, Sangjun Moon, Ahmet Emre, et al.. (2010). A droplet-based building block approach for bladder smooth muscle cell (SMC) proliferation. Biofabrication. 2(1). 14105–14105. 67 indexed citations
17.
Moon, Sangjun, Syed Kazim Hasan, Young Seok Song, et al.. (2009). Layer by Layer Three-dimensional Tissue Epitaxy by Cell-Laden Hydrogel Droplets. Tissue Engineering Part C Methods. 16(1). 157–166. 223 indexed citations
18.
Song, Young Seok, et al.. (2009). Microfluidics for cryopreservation. Lab on a Chip. 9(13). 1874–1874. 98 indexed citations
19.
Kim, Yun‐Gon, Sangjun Moon, Daniel R. Kuritzkes, & Utkan Demirci. (2009). Quantum dot-based HIV capture and imaging in a microfluidic channel. Biosensors and Bioelectronics. 25(1). 253–258. 91 indexed citations
20.
Funahashi, Hiroaki, et al.. (1996). Effects of oviductal fluid on sperm penetration and cortical granule exocytosis during fertilization of pig oocytes in vitro. Reproduction. 107(1). 79–86. 81 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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