Ken C. Dong

3.5k total citations · 1 hit paper
24 papers, 2.2k citations indexed

About

Ken C. Dong is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Ken C. Dong has authored 24 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Ken C. Dong's work include Ubiquitin and proteasome pathways (16 papers), Peptidase Inhibition and Analysis (7 papers) and Autophagy in Disease and Therapy (5 papers). Ken C. Dong is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Peptidase Inhibition and Analysis (7 papers) and Autophagy in Disease and Therapy (5 papers). Ken C. Dong collaborates with scholars based in United States, Poland and Russia. Ken C. Dong's co-authors include Andreas Martin, James M. Berger, Jared A.M. Bard, Eric R. Greene, Erik Jönsson, Ellen A. Goodall, S.G. Hymowitz, Lilian Phu, Christine Yu and Donald S. Kirkpatrick and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Ken C. Dong

23 papers receiving 2.1k citations

Hit Papers

Structure and Function of the 26S Proteasome 2018 2026 2020 2023 2018 100 200 300 400 500
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. Structure and Function of the 26S Proteasome
    2018 560 citations Jared A.M. Bard, Eric R. Greene 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
Ken C. Dong United States 18 1.9k 493 393 329 236 24 2.2k
Gary Kleiger United States 20 1.8k 0.9× 516 1.0× 303 0.8× 352 1.1× 159 0.7× 34 2.2k
Petra Ross‐Macdonald United States 22 1.9k 1.0× 352 0.7× 313 0.8× 141 0.4× 219 0.9× 39 2.5k
Christophe Briand Switzerland 20 1.9k 1.0× 550 1.1× 205 0.5× 225 0.7× 259 1.1× 29 2.6k
Jae Hong Seol South Korea 28 2.5k 1.3× 453 0.9× 850 2.2× 252 0.8× 299 1.3× 53 3.0k
Alexander Fish Netherlands 27 1.5k 0.8× 328 0.7× 306 0.8× 147 0.4× 188 0.8× 43 1.9k
Yves Nominé France 22 1.0k 0.5× 237 0.5× 256 0.7× 392 1.2× 210 0.9× 51 1.4k
David Reverter Spain 29 2.4k 1.2× 857 1.7× 423 1.1× 219 0.7× 230 1.0× 66 2.7k
M. Brett Waddell United States 15 1.3k 0.7× 480 1.0× 210 0.5× 277 0.8× 98 0.4× 23 1.7k
Tharan Srikumar Canada 25 1.8k 0.9× 417 0.8× 276 0.7× 152 0.5× 162 0.7× 35 2.3k
Arvin C. Dar United States 18 1.7k 0.9× 284 0.6× 606 1.5× 219 0.7× 122 0.5× 29 2.4k

Countries citing papers authored by Ken C. Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ken C. Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken C. Dong. 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 Ken C. Dong. The network helps show where Ken C. Dong may publish in the future.

Co-authorship network of co-authors of Ken C. Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Ken C. Dong. A scholar is included among the top collaborators of Ken C. Dong 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 Ken C. Dong. Ken C. Dong 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.
Htet, Zaw Min, Ken C. Dong, & Andreas Martin. (2025). The deubiquitinase Rpn11 functions as an allosteric ubiquitin sensor to promote substrate engagement by the 26S proteasome. Cell Reports. 44(6). 115736–115736. 2 indexed citations
2.
Arkinson, Connor, Ken C. Dong, Christine L. Gee, et al.. (2025). NUB1 traps unfolded FAT10 for ubiquitin-independent degradation by the 26S proteasome. Nature Structural & Molecular Biology. 32(9). 1752–1765. 4 indexed citations
3.
Arkinson, Connor, et al.. (2025). Structural landscape of the degrading 26S proteasome reveals conformation-specific binding of TXNL1. Nature Structural & Molecular Biology. 32(12). 2403–2415.
4.
Williams, Cameron, Ken C. Dong, Connor Arkinson, & Andreas Martin. (2023). The Ufd1 cofactor determines the linkage specificity of polyubiquitin chain engagement by the AAA+ ATPase Cdc48. Molecular Cell. 83(5). 759–769.e7. 19 indexed citations
5.
Xie, Gang, Ken C. Dong, Evan J. Worden, & Andreas Martin. (2022). High-Throughput Assay for Characterizing Rpn11 Deubiquitinase Activity. Methods in molecular biology. 2591. 79–100. 2 indexed citations
6.
Greene, Eric R., Ken C. Dong, & Andreas Martin. (2019). Understanding the 26S proteasome molecular machine from a structural and conformational dynamics perspective. Current Opinion in Structural Biology. 61. 33–41. 37 indexed citations
7.
Williams, Cameron, et al.. (2019). The Cdc48 unfoldase prepares well-folded protein substrates for degradation by the 26S proteasome. Communications Biology. 2(1). 29–29. 97 indexed citations
8.
Bard, Jared A.M., Charlene Bashore, Ken C. Dong, & Andreas Martin. (2019). The 26S Proteasome Utilizes a Kinetic Gateway to Prioritize Substrate Degradation. Cell. 177(2). 286–298.e15. 91 indexed citations
9.
Worden, Evan J., Ken C. Dong, & Andreas Martin. (2017). An AAA Motor-Driven Mechanical Switch in Rpn11 Controls Deubiquitination at the 26S Proteasome. Molecular Cell. 67(5). 799–811.e8. 73 indexed citations
10.
Dong, Ken C., et al.. (2014). Structures of Neutrophil Serine Protease 4 Reveal an Unusual Mechanism of Substrate Recognition by a Trypsin-Fold Protease. Structure. 22(9). 1333–1340. 21 indexed citations
11.
Deperalta, Galahad, et al.. (2013). Structural analysis of a therapeutic monoclonal antibody dimer by hydroxyl radical footprinting. mAbs. 5(1). 86–101. 58 indexed citations
12.
Dong, Ken C., et al.. (2013). The role of DNA bending in type IIA topoisomerase function. Nucleic Acids Research. 41(10). 5444–5456. 43 indexed citations
13.
Matsumoto, M, Ken C. Dong, Christine Yu, et al.. (2011). Engineering and Structural Characterization of a Linear Polyubiquitin-Specific Antibody. Journal of Molecular Biology. 418(3-4). 134–144. 97 indexed citations
14.
Dong, Ken C., Elizabeth Helgason, Christine Yu, et al.. (2011). Preparation of Distinct Ubiquitin Chain Reagents of High Purity and Yield. Structure. 19(8). 1053–1063. 72 indexed citations
15.
Bentley, Matthew L., Jacob E. Corn, Ken C. Dong, et al.. (2011). Recognition of UbcH5c and the nucleosome by the Bmi1/Ring1b ubiquitin ligase complex. The EMBO Journal. 30(16). 3285–3297. 130 indexed citations
16.
Matsumoto, M, Katherine E. Wickliffe, Ken C. Dong, et al.. (2010). K11-Linked Polyubiquitination in Cell Cycle Control Revealed by a K11 Linkage-Specific Antibody. Molecular Cell. 39(3). 477–484. 321 indexed citations
17.
Kintzer, Alexander F., Katie Thoren, Harry J. Sterling, et al.. (2009). The Protective Antigen Component of Anthrax Toxin Forms Functional Octameric Complexes. Journal of Molecular Biology. 392(3). 614–629. 184 indexed citations
18.
Dong, Ken C. & James M. Berger. (2007). Structural basis for gate-DNA recognition and bending by type IIA topoisomerases. Nature. 450(7173). 1201–1205. 247 indexed citations
19.
20.

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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