Dennis C. Ko

3.4k total citations · 1 hit paper
55 papers, 2.3k citations indexed

About

Dennis C. Ko is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Dennis C. Ko has authored 55 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Epidemiology and 11 papers in Infectious Diseases. Recurrent topics in Dennis C. Ko's work include Lysosomal Storage Disorders Research (6 papers), RNA and protein synthesis mechanisms (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). Dennis C. Ko is often cited by papers focused on Lysosomal Storage Disorders Research (6 papers), RNA and protein synthesis mechanisms (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). Dennis C. Ko collaborates with scholars based in United States, United Kingdom and Vietnam. Dennis C. Ko's co-authors include Matthew P. Scott, Michael D. Gordon, Arend Sidow, Jonathan Binkley, Liuyang Wang, David M. Tobin, JoAnn Buchanan, Ljiljana Milenković, John Ray and Francisco J. Roca and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Dennis C. Ko

51 papers receiving 2.3k citations

Hit Papers

Host Genotype-Specific Therapies Can Optimize the Inflamm... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dennis C. Ko United States 22 912 549 505 500 384 55 2.3k
Robin M. Yates Canada 26 976 1.1× 204 0.4× 524 1.0× 688 1.4× 1.1k 2.8× 63 2.8k
Clarissa M. Maya‐Monteiro Brazil 27 875 1.0× 350 0.6× 498 1.0× 264 0.5× 482 1.3× 53 2.4k
David J. Kusner United States 24 836 0.9× 206 0.4× 509 1.0× 502 1.0× 616 1.6× 32 2.0k
Masatoshi Noda Japan 33 1.1k 1.2× 154 0.3× 276 0.5× 802 1.6× 896 2.3× 119 3.5k
Michal Mudd United States 27 1.8k 2.0× 275 0.5× 1.5k 2.9× 405 0.8× 450 1.2× 36 3.3k
Susanne C. Feil Australia 19 1.4k 1.5× 371 0.7× 165 0.3× 250 0.5× 242 0.6× 25 2.2k
Javier Ortego Spain 33 818 0.9× 171 0.3× 308 0.6× 1.6k 3.1× 200 0.5× 106 3.6k
Robert Lodge Canada 27 1.0k 1.1× 193 0.4× 718 1.4× 344 0.7× 610 1.6× 55 2.7k
Shawn J. Green United States 28 1.4k 1.6× 698 1.3× 842 1.7× 367 0.7× 1.4k 3.6× 47 4.6k
Matthias Schweizer Switzerland 38 1.6k 1.7× 519 0.9× 840 1.7× 1.1k 2.2× 881 2.3× 123 5.3k

Countries citing papers authored by Dennis C. Ko

Since Specialization
Citations

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

Fields of papers citing papers by Dennis C. Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis C. Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis C. Ko. A scholar is included among the top collaborators of Dennis C. Ko 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 Dennis C. Ko. Dennis C. Ko 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.
Thaden, Joshua T., P. Cox, Sanjay Khandelwal, et al.. (2025). Escherichia coli Type III Secretion System 2 Is Associated With Patient Mortality in Bloodstream Infections. The Journal of Infectious Diseases. 232(5). 1097–1107.
2.
Du, Kuo, David S. Umbaugh, Liuyang Wang, et al.. (2025). Targeting senescent hepatocytes for treatment of metabolic dysfunction-associated steatotic liver disease and multi-organ dysfunction. Nature Communications. 16(1). 3038–3038. 11 indexed citations
4.
Du, Kuo, Liuyang Wang, Ji Hye Jun, et al.. (2024). Aging promotes metabolic dysfunction-associated steatotic liver disease by inducing ferroptotic stress. Nature Aging. 4(7). 949–968. 31 indexed citations
5.
Karlinsey, Joyce E., Stephen J. Libby, Dennis C. Ko, et al.. (2024). Nuclear factor kappa B-dependent persistence of Salmonella Typhi and Paratyphi in human macrophages. mBio. 15(4). e0045424–e0045424. 5 indexed citations
6.
Maeso‐Díaz, Raquel, Kuo Du, Christopher C. Pan, et al.. (2023). Targeting senescent hepatocytes using the thrombomodulin-PAR1 inhibitor vorapaxar ameliorates NAFLD progression. Hepatology. 78(4). 1209–1222. 19 indexed citations
7.
Hirano, Minato, Gaddiel Galarza-Muñoz, Liuyang Wang, et al.. (2023). The RNA helicase DDX39B activates FOXP3 RNA splicing to control T regulatory cell fate. eLife. 12. 18 indexed citations
9.
Wang, Liuyang, et al.. (2021). Variation in Leishmania chemokine suppression driven by diversification of the GP63 virulence factor. PLoS neglected tropical diseases. 15(10). e0009224–e0009224. 7 indexed citations
10.
Wang, Liuyang, et al.. (2021). ARHGEF26 enhances Salmonella invasion and inflammation in cells and mice. PLoS Pathogens. 17(7). e1009713–e1009713. 10 indexed citations
11.
Zhou, Daoguo, et al.. (2018). Methylthioadenosine Suppresses Salmonella Virulence. Infection and Immunity. 86(9). 12 indexed citations
12.
Pittman, Kelly J., et al.. (2016). The Legacy of Past Pandemics: Common Human Mutations That Protect against Infectious Disease. PLoS Pathogens. 12(7). e1005680–e1005680. 18 indexed citations
13.
Xu, Zhi, Ran Li, Sarala Kodukula, et al.. (2015). Multiple Surface Regions on the Niemann-Pick C2 Protein Facilitate Intracellular Cholesterol Transport. Journal of Biological Chemistry. 290(45). 27321–27331. 33 indexed citations
14.
Salinas, Raul, et al.. (2013). A cellular genome-wide association study reveals human variation in microtubule stability and a role in inflammatory cell death. Molecular Biology of the Cell. 25(1). 76–86. 32 indexed citations
15.
Ko, Dennis C., et al.. (2013). Understanding Human Variation in Infectious Disease Susceptibility through Clinical and Cellular GWAS. PLoS Pathogens. 9(8). e1003424–e1003424. 18 indexed citations
16.
Tobin, David M., Francisco J. Roca, Sungwhan F. Oh, et al.. (2012). Host Genotype-Specific Therapies Can Optimize the Inflammatory Response to Mycobacterial Infections. Cell. 148(3). 434–446. 420 indexed citations breakdown →
17.
McElwain, Mark A., Dennis C. Ko, Michael D. Gordon, et al.. (2011). A Suppressor/Enhancer Screen in Drosophila Reveals a Role for Wnt-Mediated Lipid Metabolism in Primordial Germ Cell Migration. PLoS ONE. 6(11). e26993–e26993. 19 indexed citations
18.
Ko, Emily R., Dennis C. Ko, Carolyn Chen, & Joseph S. Lipsick. (2008). A conserved acidic patch in the Myb domain is required for activation of an endogenous target gene and for chromatin binding. Molecular Cancer. 7(1). 77–77. 20 indexed citations
19.
Ko, Dennis C., et al.. (2005). Cell-Autonomous Death of Cerebellar Purkinje Neurons with Autophagy in Niemann-Pick Type C Disease. PLoS Genetics. 1(1). e7–e7. 182 indexed citations
20.
Ko, Dennis C., et al.. (2001). Dynamic Movements of Organelles Containing Niemann-Pick C1 Protein: NPC1 Involvement in Late Endocytic Events. Molecular Biology of the Cell. 12(3). 601–614. 209 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026