Su‐Jin Kang

1.4k total citations
52 papers, 1.1k citations indexed

About

Su‐Jin Kang is a scholar working on Molecular Biology, Microbiology and Immunology. According to data from OpenAlex, Su‐Jin Kang has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 9 papers in Microbiology and 9 papers in Immunology. Recurrent topics in Su‐Jin Kang's work include Antimicrobial Peptides and Activities (9 papers), Biochemical and Structural Characterization (8 papers) and RNA and protein synthesis mechanisms (5 papers). Su‐Jin Kang is often cited by papers focused on Antimicrobial Peptides and Activities (9 papers), Biochemical and Structural Characterization (8 papers) and RNA and protein synthesis mechanisms (5 papers). Su‐Jin Kang collaborates with scholars based in South Korea, Japan and United States. Su‐Jin Kang's co-authors include Bong‐Jin Lee, Tsogbadrakh Mishig‐Ochir, Sung Jean Park, Hyung‐Sik Won, Soyeun Park, Sooyeun Lee, Boyoun Park, Taeyun A. Lee, Sungwook Lee and Do-Hee Kim and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Su‐Jin Kang

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su‐Jin Kang South Korea 18 655 398 214 131 81 52 1.1k
Jlenia Brunetti Italy 22 696 1.1× 488 1.2× 163 0.8× 49 0.4× 103 1.3× 59 1.2k
Allan Kaspar United States 11 680 1.0× 369 0.9× 389 1.8× 112 0.9× 190 2.3× 16 1.3k
María Elizbeth Álvarez-Sánchez Mexico 17 711 1.1× 305 0.8× 217 1.0× 94 0.7× 44 0.5× 72 1.7k
Jin‐Long Yang United States 21 1.1k 1.7× 460 1.2× 323 1.5× 92 0.7× 161 2.0× 35 1.6k
Anna Lucia Tornesello Italy 13 727 1.1× 268 0.7× 186 0.9× 111 0.8× 45 0.6× 24 1.1k
Wim van’t Hof Netherlands 17 642 1.0× 509 1.3× 133 0.6× 62 0.5× 108 1.3× 24 1.2k
Jamie S. Mader Canada 16 812 1.2× 611 1.5× 414 1.9× 53 0.4× 81 1.0× 19 1.4k
Lin Wei China 23 801 1.2× 741 1.9× 500 2.3× 198 1.5× 37 0.5× 68 1.6k
Thanh Kha Phan Australia 23 1.2k 1.9× 621 1.6× 505 2.4× 121 0.9× 48 0.6× 36 1.7k
Birgit Sauer Germany 17 790 1.2× 347 0.9× 246 1.1× 71 0.5× 45 0.6× 27 1.4k

Countries citing papers authored by Su‐Jin Kang

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Jin Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Jin Kang. 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 Su‐Jin Kang. The network helps show where Su‐Jin Kang may publish in the future.

Co-authorship network of co-authors of Su‐Jin Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Jin Kang. A scholar is included among the top collaborators of Su‐Jin Kang 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 Su‐Jin Kang. Su‐Jin Kang 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.
Kang, Su‐Jin, Do‐Hee Kim, & Bong‐Jin Lee. (2024). Metallo-β-lactamase inhibitors: A continuing challenge for combating antibiotic resistance. Biophysical Chemistry. 309. 107228–107228. 9 indexed citations
2.
3.
Kang, Su‐Jin, Jae Kyung Kim, Areum Park, et al.. (2023). TRIM40 is a pathogenic driver of inflammatory bowel disease subverting intestinal barrier integrity. Nature Communications. 14(1). 700–700. 26 indexed citations
4.
Kang, Sung‐Min, et al.. (2023). Domain swapping of the C‐terminal helix promotes the dimerization of a novel ribonuclease protein from Mycobacterium tuberculosis. Protein Science. 32(6). e4644–e4644. 1 indexed citations
5.
Lee, Taeyun A., Heonjong Han, Seok Keun Cho, et al.. (2022). The nucleolus is the site for inflammatory RNA decay during infection. Nature Communications. 13(1). 5203–5203. 16 indexed citations
6.
Lee, Jooyeon, et al.. (2022). The structural and functional investigation of the VapBC43 complex from Mycobacterium tuberculosis. Biochemical and Biophysical Research Communications. 616. 19–25. 3 indexed citations
7.
Hwang, Sang‐Hyun, Dong‐Eun Kim, Ji‐Hyun Im, et al.. (2016). Rapid visual identification of PCR amplified nucleic acids by centrifugal gel separation: Potential use for molecular point-of-care tests. Biosensors and Bioelectronics. 79. 829–834. 13 indexed citations
8.
Huh, Hyunbin D., Eun A., Taeyun A. Lee, et al.. (2016). STRAP Acts as a Scaffolding Protein in Controlling the TLR2/4 Signaling Pathway. Scientific Reports. 6(1). 38849–38849. 10 indexed citations
9.
Kim, Do‐Hee, Su‐Jin Kang, Kiyoung Lee, et al.. (2016). Structure and dynamics study of translation initiation factor 1 from Staphylococcus aureus suggests its RNA binding mode. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865(1). 65–75. 4 indexed citations
10.
A., Eun, Taeyun A. Lee, Seung Won Kim, et al.. (2016). TRIM31 promotes Atg5/Atg7-independent autophagy in intestinal cells. Nature Communications. 7(1). 11726–11726. 82 indexed citations
11.
Lee, Sungwook, Taeyun A. Lee, Su‐Jin Kang, et al.. (2015). Identification of a subnuclear body involved in sequence-specific cytokine RNA processing. Nature Communications. 6(1). 5791–5791. 20 indexed citations
12.
13.
Kang, Su‐Jin, Toshiharu Suzuki, Atsushi Miyagi, et al.. (2014). Active-Site Structure of the Thermophilic Foc-Subunit Ring in Membranes Elucidated by Solid-State NMR. Biophysical Journal. 106(2). 390–398. 8 indexed citations
14.
Kang, Su‐Jin, Taeyun A. Lee, Eun A., et al.. (2014). Differential Control of Interleukin-6 mRNA Levels by Cellular Distribution of YB-1. PLoS ONE. 9(11). e112754–e112754. 21 indexed citations
15.
Kang, Su‐Jin, et al.. (2014). Establishment of a mouse melanoma model system for the efficient infection and replication of human adenovirus type 5-based oncolytic virus. Biochemical and Biophysical Research Communications. 453(3). 480–485. 10 indexed citations
16.
Kim, So Yeon, Su‐Jin Kang, Jae J. Song, & Joo-Hang Kim. (2013). The effectiveness of the oncolytic activity induced by Ad5/F35 adenoviral vector is dependent on the cumulative cellular conditions of survival and autophagy. International Journal of Oncology. 42(4). 1337–1348. 16 indexed citations
17.
Kang, Su‐Jin, et al.. (2012). Anticancer activity of undecapeptide analogues derived from antimicrobial peptide, Brevinin-1EMa. Archives of Pharmacal Research. 35(5). 791–799. 16 indexed citations
18.
Kang, Su‐Jin, Woo‐Sung Son, Tsogbadrakh Mishig‐Ochir, et al.. (2010). Solution Structure of Antimicrobial Peptide Esculentin-1c from Skin Secretion of Rana esculenta. Molecules and Cells. 30(5). 435–441. 6 indexed citations
19.
Won, Hyung‐Sik, Su‐Jin Kang, & Bong‐Jin Lee. (2008). Action mechanism and structural requirements of the antimicrobial peptides, gaegurins. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1788(8). 1620–1629. 50 indexed citations
20.
Kwon, Jae Young, Mingi Hong, Min Sung Choi, et al.. (2004). Ethanol-response genes and their regulation analyzed by a microarray and comparative genomic approach in the nematode Caenorhabditis elegans. Genomics. 83(4). 600–614. 79 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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