Seung‐Wook Chi

2.3k total citations
79 papers, 1.8k citations indexed

About

Seung‐Wook Chi is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Seung‐Wook Chi has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 21 papers in Oncology and 13 papers in Biomedical Engineering. Recurrent topics in Seung‐Wook Chi's work include Cancer-related Molecular Pathways (19 papers), Cell death mechanisms and regulation (18 papers) and Nanopore and Nanochannel Transport Studies (13 papers). Seung‐Wook Chi is often cited by papers focused on Cancer-related Molecular Pathways (19 papers), Cell death mechanisms and regulation (18 papers) and Nanopore and Nanochannel Transport Studies (13 papers). Seung‐Wook Chi collaborates with scholars based in South Korea, United States and Singapore. Seung‐Wook Chi's co-authors include Kyou‐Hoon Han, Mi‐Kyung Lee, Do‐Hyoung Kim, Kwang‐Hee Bae, Si‐Hyung Lee, Ho Sup Yoon, Byoung Chul Park, Jae‐Sun Shin, Sang Chul Lee and Ki‐Bum Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Seung‐Wook Chi

78 papers receiving 1.8k citations

Peers

Seung‐Wook Chi

ONCOL

EPIDE

Joo Hyun Kang South Korea

Cyril Rauch United Kingdom

Seetharama D. Jois United States

Josep Villanueva Spain

Moreno Zamai Italy

Ryuji Higashikubo United States

Martina Raudenská Czechia

Sharon Gowan United Kingdom

Ernesto Yagüe United Kingdom

Joo Hyun Kang South Korea

Seung‐Wook Chi

1.1k ×0.9

444 ×1.2

ONCOL

318 ×1.2

84 ×0.6

EPIDE

224 ×1.6

Citations per year, relative to Seung‐Wook Chi Seung‐Wook Chi (= 1×) peers Joo Hyun Kang

Countries citing papers authored by Seung‐Wook Chi

Since Specialization

Citations

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

Fields of papers citing papers by Seung‐Wook Chi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung‐Wook Chi. 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 Seung‐Wook Chi. The network helps show where Seung‐Wook Chi may publish in the future.

Co-authorship network of co-authors of Seung‐Wook Chi

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

All Works

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20 of 20 papers shown

Jeong, Ki‐Baek, Jinsik Kim, Minsoo Kim, et al.. (2023). Single-molecule fingerprinting of protein-drug interaction using a funneled biological nanopore. Nature Communications. 14(1). 1461–1461. 43 indexed citations

Lee, Mi‐Kyung, et al.. (2022). MUL1‐RING recruits the substrate, p53‐TAD as a complex with UBE2D2–UB conjugate. FEBS Journal. 289(12). 3568–3586. 6 indexed citations

Park, Seulki, Sohee Oh, Jinsik Kim, et al.. (2021). Artificial intelligence-based identification of octenidine as a Bcl-xL inhibitor. Biochemical and Biophysical Research Communications. 588. 97–103. 5 indexed citations

Yoon, Yae Jin, Young‐Min Han, Jiyeon Choi, et al.. (2019). Benproperine, an ARPC2 inhibitor, suppresses cancer cell migration and tumor metastasis. Biochemical Pharmacology. 163. 46–59. 41 indexed citations

Lee, Sang-Ok, et al.. (2019). A novel mechanism of irinotecan targeting MDM2 and Bcl-xL. Biochemical and Biophysical Research Communications. 514(2). 518–523. 17 indexed citations

Kellici, Tahsin F., Μaria V. Chatziathanasiadou, Nisar Sayyad, et al.. (2017). Rational design and structure–activity relationship studies of quercetin–amino acid hybrids targeting the anti-apoptotic protein Bcl-xL. Organic & Biomolecular Chemistry. 15(37). 7956–7976. 23 indexed citations

Lee, Kyu‐Sun, Ae‐Kyeong Kim, Miri Choi, et al.. (2016). A chemical with proven clinical safety restores Down syndrome-related phenotypes via DYRK1A inhibition. Disease Models & Mechanisms. 9(8). 839–48. 87 indexed citations

Choi, Kwangman, et al.. (2014). Identification of a Novel Function of CX-4945 as a Splicing Regulator. PLoS ONE. 9(4). e94978–e94978. 81 indexed citations

Choi, Hye‐Ryung, Won Kon Kim, Eun Young Kim, et al.. (2013). Dual-Specificity Phosphatase 10 Controls Brown Adipocyte Differentiation by Modulating the Phosphorylation of P38 Mitogen-Activated Protein Kinase. PLoS ONE. 8(8). e72340–e72340. 26 indexed citations

10.

Kim, Jeong Hoon, Phil Young Lee, Seung‐Wook Chi, et al.. (2013). Candidate target genes for the Saccharomyces cerevisiae transcription factor, Yap2. Folia Microbiologica. 58(5). 403–408. 3 indexed citations

11.

Shin, Jae‐Sun, Fahu He, Y. Muto, et al.. (2012). Structural insights into the dual-targeting mechanism of Nutlin-3. Biochemical and Biophysical Research Communications. 420(1). 48–53. 21 indexed citations

12.

Xu, Huibin, et al.. (2009). The MDM2-Binding Region in the Transactivation Domain of p53 Also Acts as a Bcl-X _L -Binding Motif. Biochemistry. 48(51). 12159–12168. 31 indexed citations

13.

Chi, Seung‐Wook, Jin‐Ki Kim, Gwan‐Su Yi, Hyo Jeong Hong, & Seong Eon Ryu. (2009). Broadly neutralizing anti‐HBV antibody binds to non‐epitope regions of preS1. FEBS Letters. 583(18). 3095–3100. 5 indexed citations

14.

Lee, Si‐Hyung, et al.. (2009). Backbone Resonance Assignment of a Proteolysis-Resistant Fragment in the Oxygen-Dependent Degradation Domain of the Hypoxia Inducible Factor 1α. Molecules and Cells. 27(4). 493–496. 4 indexed citations

15.

Kim, Do Hyoung, et al.. (2009). Multiple hTAF_II31-binding motifs in the intrinsically unfolded transcriptional activation domain of VP16. BMB Reports. 42(7). 411–417. 14 indexed citations

16.

Chi, Seung‐Wook, Jaesung Kim, Do‐Hyoung Kim, et al.. (2006). Solution structure and membrane interaction mode of an antimicrobial peptide gaegurin 4. Biochemical and Biophysical Research Communications. 352(3). 592–597. 23 indexed citations

17.

Chi, Seung‐Wook, et al.. (2006). Solution conformation of an immunodominant epitope in the hepatitis B virus preS2 surface antigen. Antiviral Research. 72(3). 207–215. 7 indexed citations

18.

Chi, Seung‐Wook, Si‐Hyung Lee, Do‐Hyoung Kim, et al.. (2005). Structural Details on mdm2-p53 Interaction. Journal of Biological Chemistry. 280(46). 38795–38802. 121 indexed citations

19.

Chi, Seung‐Wook, Si‐Hyung Lee, Do Hyoung Kim, et al.. (2005). Solution structure of α-conotoxin PIA, a novel antagonist of α6 subunit containing nicotinic acetylcholine receptors. Biochemical and Biophysical Research Communications. 338(4). 1990–1997. 10 indexed citations

20.

Suh, Jeong‐Yong, et al.. (1996). Unusually stable helical kink in the antimicrobial peptide — A derivative of gaegurin. FEBS Letters. 392(3). 309–312. 49 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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