Sung‐Woo Cho

4.4k total citations
217 papers, 3.4k citations indexed

About

Sung‐Woo Cho is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Biochemistry. According to data from OpenAlex, Sung‐Woo Cho has authored 217 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 32 papers in Electrical and Electronic Engineering and 26 papers in Biochemistry. Recurrent topics in Sung‐Woo Cho's work include Amino Acid Enzymes and Metabolism (18 papers), Neuroscience and Neuropharmacology Research (13 papers) and RNA Interference and Gene Delivery (13 papers). Sung‐Woo Cho is often cited by papers focused on Amino Acid Enzymes and Metabolism (18 papers), Neuroscience and Neuropharmacology Research (13 papers) and RNA Interference and Gene Delivery (13 papers). Sung‐Woo Cho collaborates with scholars based in South Korea, United States and Sweden. Sung‐Woo Cho's co-authors include Soo Young Choi, Mikael Skrifvars, Seung-Ju Yang, Jee‐Yin Ahn, Eun‐A Kim, Kwang‐Sun Ryu, Jinseu Park, Won Sik Eum, Maria Persson and Ioannis Chasiotis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Sung‐Woo Cho

204 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung‐Woo Cho South Korea 30 896 702 464 382 350 217 3.4k
Liyun Wang China 36 868 1.0× 441 0.6× 777 1.7× 337 0.9× 394 1.1× 120 3.5k
Ziqiang Zhang China 36 1.4k 1.6× 817 1.2× 1.1k 2.3× 159 0.4× 304 0.9× 282 4.7k
Yong‐Jin Yoon South Korea 29 566 0.6× 539 0.8× 1.6k 3.4× 224 0.6× 337 1.0× 224 4.2k
Jaeho Park South Korea 32 403 0.4× 1.2k 1.6× 1.7k 3.7× 459 1.2× 301 0.9× 94 3.4k
Jae Yeol Lee South Korea 32 1.1k 1.2× 196 0.3× 370 0.8× 234 0.6× 337 1.0× 222 3.8k
Jiao Liu China 40 1.6k 1.8× 804 1.1× 793 1.7× 291 0.8× 1.5k 4.3× 221 5.7k
Xiaolin Wang China 30 718 0.8× 523 0.7× 1.6k 3.5× 285 0.7× 167 0.5× 113 3.3k
Na Liu China 29 434 0.5× 827 1.2× 775 1.7× 229 0.6× 286 0.8× 150 2.5k
Sohee Kim South Korea 37 931 1.0× 1.2k 1.7× 1.0k 2.2× 334 0.9× 442 1.3× 291 5.3k
Chaoying Zhang China 29 1.2k 1.3× 558 0.8× 494 1.1× 180 0.5× 501 1.4× 149 4.1k

Countries citing papers authored by Sung‐Woo Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Woo Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Woo Cho. 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 Sung‐Woo Cho. The network helps show where Sung‐Woo Cho may publish in the future.

Co-authorship network of co-authors of Sung‐Woo Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Woo Cho. A scholar is included among the top collaborators of Sung‐Woo Cho 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 Sung‐Woo Cho. Sung‐Woo Cho 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, Young Kwan, Han Jo Kim, Sang Won Seo, et al.. (2025). EBP1 potentiates amyloid β pathology by regulating γ-secretase. Nature Aging. 5(3). 486–503.
2.
Lim, Jun Woo, et al.. (2025). O2-microbubble of iron-porphyrin conjugated polyaspartamide for molecular ultrasound contrast effect. Biotechnology Letters. 47(2). 28–28. 1 indexed citations
3.
Cho, Sung‐Woo, et al.. (2024). Magnetically assembled endothelial cell-coated spheroid for vascularization. Journal of Industrial and Engineering Chemistry. 134. 484–494. 1 indexed citations
4.
Cho, Sung‐Woo, et al.. (2024). Tailored 3D Agarose-Well Integrated with Human Skin Equivalents for Enhanced Skin Penetration Assessment. Gels. 10(11). 691–691. 2 indexed citations
5.
Lee, Ho Yun, et al.. (2022). Cerebellar dysfunction and schizophrenia-like behavior in Ebp1-deficient mice. Molecular Psychiatry. 27(4). 2030–2041. 7 indexed citations
6.
Lee, Junsang, et al.. (2021). Effect of Post-Weld Heat Treatment Conditions on Mechanical Properties, Microstructures and Nonductile Fracture Behavior of SA508 Gr.1a Thick Weldments. Metals and Materials International. 27(11). 4700–4709. 5 indexed citations
7.
Jo, Dong‐Gyu, et al.. (2021). Inhibitor of DNA binding 2 (Id2) mediates microtubule polymerization in the brain by regulating αK40 acetylation of α-tubulin. Cell Death Discovery. 7(1). 257–257. 6 indexed citations
8.
Cho, Sung‐Woo, et al.. (2021). EBP1 regulates Suv39H1 stability via the ubiquitin-proteasome system in neural development. BMB Reports. 54(8). 413–418. 12 indexed citations
9.
Jin, Eun‐Ju, Sang Bae Lee, Chung Kwon Kim, et al.. (2019). SIAH1 ubiquitin ligase mediates ubiquitination and degradation of Akt3 in neural development. Journal of Biological Chemistry. 294(42). 15435–15445. 14 indexed citations
10.
Jin, Eun‐Ju, Dongryeol Ryu, Jong‐Sun Kang, et al.. (2019). Roles of ErbB3-binding protein 1 (EBP1) in embryonic development and gene-silencing control. Proceedings of the National Academy of Sciences. 116(49). 24852–24860. 12 indexed citations
11.
Park, Hojin, et al.. (2018). Parallax: Automatic Data-Parallel Training of Deep Neural Networks.. arXiv (Cornell University). 2 indexed citations
12.
Jin, Eun‐Ju, Joo‐Ho Shin, Angela M. Brennan‐Minnella, et al.. (2016). Akt1-Inhibitor of DNA binding2 is essential for growth cone formation and axon growth and promotes central nervous system axon regeneration. eLife. 5. 29 indexed citations
13.
Cho, Sung‐Woo. (2016). 3D Printing Technology in the Medical Field. 214–214.
14.
Lee, Seungbok, et al.. (2011). Neural correlates of the aesthetic experience using the fractal images: an fMRI study. 14(3). 403–414. 2 indexed citations
15.
Cho, Sung‐Woo, et al.. (2009). A Study on the Indoor Airflow Pattern by Changing the Location of Mechanical Terminal Unit. Korean Journal of Air-Conditioning and Refrigeration Engineering. 21(3). 193–200. 3 indexed citations
16.
Lee, Eunyoung, et al.. (2001). Inactivation of Brain Glutamate Dehydrogenase Isoproteins by MDL 29951. BMB Reports. 34(3). 268–273. 3 indexed citations
17.
Cho, Sung‐Woo, Jee‐Yin Ahn, Jae Hoon Bahn, et al.. (2000). Production and Characterization of Monoclonal Antibodies to Glutamate Dehydrogenase from Thermophile Sulfolobus solfataricus. Journal of Microbiology and Biotechnology. 10(5). 587–594. 1 indexed citations
18.
Ahn, Jee‐Yin, et al.. (1999). Chemical Modification of Brain Glutamate Dehydrogenase Isoproteins with Phenylglyoxal. BMB Reports. 32(5). 515–520. 1 indexed citations
19.
Choi, Soo‐Young, Seong Gyu Jeon, Joung‐Woo Hong, et al.. (1998). Stimulatory Effects of Ginsenosides on Bovine Brain Glutamate Decarboxylase. BMB Reports. 31(3). 233–239. 9 indexed citations
20.
Cho, Sung‐Woo, Mi-Ja Shim, & Sang‐Wook Kim. (1992). Mechanical property of Diglycldyl ether of bisphenol A-Methylene dianiline System with Succinonitrile. Korean Journal of Materials Research. 2(3). 191–196. 1 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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