Bonsu Ku

3.1k total citations · 1 hit paper
64 papers, 2.4k citations indexed

About

Bonsu Ku is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Bonsu Ku has authored 64 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 14 papers in Epidemiology and 12 papers in Cell Biology. Recurrent topics in Bonsu Ku's work include Protein Tyrosine Phosphatases (18 papers), Ubiquitin and proteasome pathways (8 papers) and Autophagy in Disease and Therapy (8 papers). Bonsu Ku is often cited by papers focused on Protein Tyrosine Phosphatases (18 papers), Ubiquitin and proteasome pathways (8 papers) and Autophagy in Disease and Therapy (8 papers). Bonsu Ku collaborates with scholars based in South Korea, United States and Qatar. Bonsu Ku's co-authors include Jae U. Jung, Chengyu Liang, Byung‐Ha Oh, Pinghui Feng, Iris Dotan, Dan Canaani, Jae‐Sung Woo, Byung‐Ha Oh, Seung Jun Kim and E Xiaofei and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Bonsu Ku

59 papers receiving 2.4k citations

Hit Papers

Autophagic and tumour suppressor activity of a novel Becl... 2006 2026 2012 2019 2006 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Autophagic and tumour suppressor activity of a novel Beclin1-binding protein UVRAG
    2006 819 citations Bonsu Ku, Byung‐Ha Oh et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bonsu Ku South Korea 21 1.5k 1.0k 516 275 237 64 2.4k
Yayoi Kimura Japan 25 1.4k 0.9× 982 0.9× 738 1.4× 130 0.5× 284 1.2× 88 2.4k
Hideaki Morishita Japan 18 969 0.6× 1.2k 1.1× 455 0.9× 208 0.8× 70 0.3× 37 2.0k
Kay Oliver Schink Norway 24 1.7k 1.1× 764 0.7× 1.2k 2.4× 210 0.8× 140 0.6× 44 2.8k
Masayoshi Fukasawa Japan 29 2.2k 1.4× 940 0.9× 1.1k 2.0× 127 0.5× 252 1.1× 92 3.9k
Tomohisa Hatta Japan 19 1.1k 0.7× 626 0.6× 491 1.0× 96 0.3× 93 0.4× 36 1.8k
Ing Swie Goping Canada 26 2.2k 1.5× 572 0.5× 442 0.9× 417 1.5× 498 2.1× 52 3.4k
Hanna Berissi Israel 23 2.2k 1.4× 826 0.8× 537 1.0× 275 1.0× 418 1.8× 25 3.2k
Yuxin Mao United States 30 2.5k 1.7× 447 0.4× 1.2k 2.3× 113 0.4× 259 1.1× 59 3.6k
Ewald H. Hettema United Kingdom 31 3.1k 2.0× 602 0.6× 624 1.2× 116 0.4× 179 0.8× 51 3.6k
Songshu Meng China 34 1.5k 1.0× 630 0.6× 430 0.8× 351 1.3× 499 2.1× 63 2.6k

Countries citing papers authored by Bonsu Ku

Since Specialization
Citations

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

Fields of papers citing papers by Bonsu Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bonsu Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Bonsu Ku. A scholar is included among the top collaborators of Bonsu Ku 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 Bonsu Ku. Bonsu Ku 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
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Choi, Joon Sig, et al.. (2025). Crystal structures of the μ2 subunit of clathrin-adaptor protein 2 in complex with peptides derived from human papillomavirus 16 E7. The Journal of Microbiology. 63(8). e2505003–e2505003.
3.
Choi, Joon Sig, et al.. (2023). Crystal Structures of Plk1 Polo-Box Domain Bound to the Human Papillomavirus Minor Capsid Protein L2-Derived Peptide. The Journal of Microbiology. 61(8). 755–764. 2 indexed citations
4.
Zhang, Liang, H. Ravishankar, Lixin Fan, et al.. (2023). Architectural basis for cylindrical self-assembly governing Plk4-mediated centriole duplication in human cells. Communications Biology. 6(1). 712–712. 1 indexed citations
5.
Jeong, Da Eun, et al.. (2023). Insights into the recognition mechanism in the UBR box of UBR4 for its specific substrates. Communications Biology. 6(1). 1214–1214. 9 indexed citations
6.
Lee, Seulgi, Joon Sig Choi, Doo‐Byoung Oh, et al.. (2023). Structural basis for proapoptotic activation of Bak by the noncanonical BH3-only protein Pxt1. PLoS Biology. 21(6). e3002156–e3002156. 1 indexed citations
7.
Kim, Wantae, Joon Sig Choi, Doo‐Byoung Oh, et al.. (2022). Structural and biochemical analyses of Bcl-xL in complex with the BH3 domain of peroxisomal testis-specific 1. Biochemical and Biophysical Research Communications. 625. 174–180. 6 indexed citations
8.
Lee, Yu‐Ri, Se Hee Kim, Tae‐Ik Choi, et al.. (2021). Eif2b3 mutants recapitulate phenotypes of vanishing white matter disease and validate novel disease alleles in zebrafish. Human Molecular Genetics. 30(5). 331–342. 12 indexed citations
9.
Kim, Min Wook, Kyeong Sik Jin, Won Kon Kim, et al.. (2021). Molecular Analysis of the Interaction between Human PTPN21 and the Oncoprotein E7 from Human Papillomavirus Genotype 18. Molecules and Cells. 44(1). 26–37. 14 indexed citations
10.
Choi, Joon Sig, et al.. (2021). Crystal structure of human LC8 bound to a peptide from Ebola virus VP35. The Journal of Microbiology. 59(4). 410–416. 4 indexed citations
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Park, Hwangseo, et al.. (2017). Two-track virtual screening approach to identify both competitive and allosteric inhibitors of human small C-terminal domain phosphatase 1. Journal of Computer-Aided Molecular Design. 31(8). 743–753. 5 indexed citations
14.
Ku, Bonsu, et al.. (2017). Structural and biochemical analysis of atypically low dephosphorylating activity of human dual-specificity phosphatase 28. PLoS ONE. 12(11). e0187701–e0187701. 4 indexed citations
15.
Ku, Bonsu, et al.. (2017). Crystal structures of two forms of the Acanthamoeba polyphaga mimivirus Rab GTPase. Archives of Virology. 162(11). 3407–3416. 5 indexed citations
16.
Chae, Young Chan, Valentina Vaira, M. Cecilia Caino, et al.. (2016). Mitochondrial Akt Regulation of Hypoxic Tumor Reprogramming. Cancer Cell. 30(2). 257–272. 158 indexed citations
17.
Park, Hwangseo, et al.. (2013). Identification of novel PTPRQ phosphatase inhibitors based on the virtual screening with docking simulations. Theoretical Biology and Medical Modelling. 10(1). 49–49. 7 indexed citations
18.
Woo, Jae‐Sung, et al.. (2012). Crystal structure of DeSI‐1, a novel deSUMOylase belonging to a putative isopeptidase superfamily. Proteins Structure Function and Bioinformatics. 80(8). 2099–2104. 36 indexed citations
19.
Woo, Jae‐Sung, Jae-Hong Lim, Ho‐Chul Shin, et al.. (2009). Structural Studies of a Bacterial Condensin Complex Reveal ATP-Dependent Disruption of Intersubunit Interactions. Cell. 136(1). 85–96. 122 indexed citations
20.
Ku, Bonsu, et al.. (2009). Crystal structure of the MukB hinge domain with coiled‐coil stretches and its functional implications. Proteins Structure Function and Bioinformatics. 78(6). 1483–1490. 25 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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