Zachary C. Ruhe

2.3k total citations · 1 hit paper
19 papers, 1.7k citations indexed

About

Zachary C. Ruhe is a scholar working on Endocrinology, Molecular Biology and Genetics. According to data from OpenAlex, Zachary C. Ruhe has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, 10 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Zachary C. Ruhe's work include Vibrio bacteria research studies (10 papers), Bacterial Genetics and Biotechnology (7 papers) and Escherichia coli research studies (6 papers). Zachary C. Ruhe is often cited by papers focused on Vibrio bacteria research studies (10 papers), Bacterial Genetics and Biotechnology (7 papers) and Escherichia coli research studies (6 papers). Zachary C. Ruhe collaborates with scholars based in United States, United Kingdom and Japan. Zachary C. Ruhe's co-authors include Christopher S. Hayes, David A. Low, Roderick T. Bronson, Denise Crowley, Nicholas A. Willis, Tyler Jacks, Bob Yin, Kenneth P. Olive, David A. Tuveson and Adam B. Wallace and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Zachary C. Ruhe

19 papers receiving 1.7k citations

Hit Papers

Mutant p53 Gain of Function in Two Mouse Models of Li-Fra... 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zachary C. Ruhe United States 13 1.0k 716 434 390 312 19 1.7k
Suvi Taira Finland 23 871 0.9× 468 0.7× 228 0.5× 302 0.8× 109 0.3× 42 1.9k
Manuela K. Hospenthal United Kingdom 13 1.4k 1.4× 441 0.6× 176 0.4× 214 0.5× 220 0.7× 18 1.8k
Alexey Fomenkov United States 20 1.6k 1.6× 519 0.7× 61 0.1× 335 0.9× 126 0.4× 69 2.1k
Ayelet Zauberman Israel 18 1.2k 1.2× 918 1.3× 100 0.2× 454 1.2× 170 0.5× 44 1.7k
Detlev Behnke Germany 25 1.1k 1.1× 452 0.6× 64 0.1× 584 1.5× 176 0.6× 56 1.9k
B Lund Sweden 13 679 0.7× 64 0.1× 692 1.6× 399 1.0× 141 0.5× 14 1.5k
David Ruano‐Gallego Spain 17 487 0.5× 140 0.2× 207 0.5× 240 0.6× 27 0.1× 30 946
Christoph Weigel Germany 23 1.1k 1.1× 120 0.2× 87 0.2× 823 2.1× 53 0.2× 51 1.5k
Monique Barel France 24 725 0.7× 394 0.6× 84 0.2× 313 0.8× 91 0.3× 70 1.6k
Joëlle E. Gabay United States 25 1.0k 1.0× 78 0.1× 262 0.6× 348 0.9× 144 0.5× 29 2.2k

Countries citing papers authored by Zachary C. Ruhe

Since Specialization
Citations

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

Fields of papers citing papers by Zachary C. Ruhe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zachary C. Ruhe

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

All Works

19 of 19 papers shown
1.
Ruhe, Zachary C., et al.. (2023). Paradoxical Activation of a Type VI Secretion System Phospholipase Effector by Its Cognate Immunity Protein. Journal of Bacteriology. 205(6). e0011323–e0011323. 2 indexed citations
2.
Garza‐Sánchez, Fernando, et al.. (2021). Lipidation of Class IV CdiA Effector Proteins Promotes Target Cell Recognition during Contact-Dependent Growth Inhibition. mBio. 12(5). e0253021–e0253021. 7 indexed citations
3.
Ruhe, Zachary C., David A. Low, & Christopher S. Hayes. (2020). Polymorphic Toxins and Their Immunity Proteins: Diversity, Evolution, and Mechanisms of Delivery. Annual Review of Microbiology. 74(1). 497–520. 74 indexed citations
4.
Beck, Christina M., et al.. (2020). The β-encapsulation cage of rearrangement hotspot (Rhs) effectors is required for type VI secretion. Proceedings of the National Academy of Sciences. 117(52). 33540–33548. 27 indexed citations
5.
Ruhe, Zachary C., Poorna Subramanian, Ki‐Ho Song, et al.. (2018). Programmed Secretion Arrest and Receptor-Triggered Toxin Export during Antibacterial Contact-Dependent Growth Inhibition. Cell. 175(4). 921–933.e14. 56 indexed citations
6.
Ruhe, Zachary C., Jing Xiong, Sanna Koskiniemi, et al.. (2017). CdiA Effectors Use Modular Receptor-Binding Domains To Recognize Target Bacteria. mBio. 8(2). 44 indexed citations
7.
Ruhe, Zachary C., et al.. (2016). CDI Systems Are Stably Maintained by a Cell-Contact Mediated Surveillance Mechanism. PLoS Genetics. 12(6). e1006145–e1006145. 22 indexed citations
8.
Willett, Julia L. E., Zachary C. Ruhe, Celia W. Goulding, David A. Low, & Christopher S. Hayes. (2015). Contact-Dependent Growth Inhibition (CDI) and CdiB/CdiA Two-Partner Secretion Proteins. Journal of Molecular Biology. 427(23). 3754–3765. 77 indexed citations
9.
Ruhe, Zachary C., Christopher S. Hayes, & David A. Low. (2015). Measuring Cell–Cell Binding Using Flow-Cytometry. Methods in molecular biology. 1329. 127–136. 3 indexed citations
10.
Ruhe, Zachary C., Loni Townsley, Adam B. Wallace, et al.. (2015). CdiA promotes receptor-independent intercellular adhesion: BamA-independent CdiA-mediated adhesion. 1 indexed citations
11.
Ruhe, Zachary C., Loni Townsley, Adam B. Wallace, et al.. (2015). CdiA promotes receptor‐independent intercellular adhesion. Molecular Microbiology. 98(1). 175–192. 46 indexed citations
12.
Ruhe, Zachary C., et al.. (2014). The proton‐motive force is required for translocation of CDI toxins across the inner membrane of target bacteria. Molecular Microbiology. 94(2). 466–481. 30 indexed citations
13.
Hayes, Christopher S., Sanna Koskiniemi, Zachary C. Ruhe, Stephen J. Poole, & David A. Low. (2014). Mechanisms and Biological Roles of Contact-Dependent Growth Inhibition Systems. Cold Spring Harbor Perspectives in Medicine. 4(2). a010025–a010025. 78 indexed citations
14.
Ruhe, Zachary C., Adam B. Wallace, David A. Low, & Christopher S. Hayes. (2013). Receptor Polymorphism Restricts Contact-Dependent Growth Inhibition to Members of the Same Species. mBio. 4(4). 82 indexed citations
15.
Ruhe, Zachary C., David A. Low, & Christopher S. Hayes. (2013). Bacterial contact-dependent growth inhibition. Trends in Microbiology. 21(5). 230–237. 131 indexed citations
16.
Ruhe, Zachary C. & Christopher S. Hayes. (2010). The N-Terminus of GalE Induces tmRNA Activity in Escherichia coli. PLoS ONE. 5(12). e15207–e15207. 9 indexed citations
17.
Busconi, Liliana, Christina M. Lau, Melissa B. Uccellini, et al.. (2006). DNA and RNA autoantigens as autoadjuvants. Journal of Endotoxin Research. 12(6). 379–384. 12 indexed citations
18.
Busconi, Liliana, Christina M. Lau, Melissa B. Uccellini, et al.. (2006). DNA and RNA autoantigens as autoadjuvants. Journal of Endotoxin Research. 12(6). 379–384. 9 indexed citations
19.
Olive, Kenneth P., David A. Tuveson, Zachary C. Ruhe, et al.. (2004). Mutant p53 Gain of Function in Two Mouse Models of Li-Fraumeni Syndrome. Cell. 119(6). 847–860. 974 indexed citations breakdown →

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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