Christopher S. Hayes

5.9k total citations
86 papers, 4.2k citations indexed

About

Christopher S. Hayes is a scholar working on Genetics, Endocrinology and Molecular Biology. According to data from OpenAlex, Christopher S. Hayes has authored 86 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Genetics, 45 papers in Endocrinology and 44 papers in Molecular Biology. Recurrent topics in Christopher S. Hayes's work include Bacterial Genetics and Biotechnology (50 papers), Vibrio bacteria research studies (40 papers) and RNA and protein synthesis mechanisms (23 papers). Christopher S. Hayes is often cited by papers focused on Bacterial Genetics and Biotechnology (50 papers), Vibrio bacteria research studies (40 papers) and RNA and protein synthesis mechanisms (23 papers). Christopher S. Hayes collaborates with scholars based in United States, Sweden and United Kingdom. Christopher S. Hayes's co-authors include David A. Low, Robert T. Sauer, Zachary C. Ruhe, Brian D. Janssen, Stephanie K. Aoki, Fernando Garza‐Sánchez, Elie J. Diner, Stephen J. Poole, Sanna Koskiniemi and Christina M. Beck and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Christopher S. Hayes

86 papers receiving 4.2k citations

Peers

Christopher S. Hayes

GENET

ENDOC

ECOLO

Françoise Jacob‐Dubuisson France

Petra Dersch Germany

Laure Journet France

Roland Lloubès France

Ina Attrée France

Timothy L. Yahr United States

Simon L. Dove United States

Anthony P. Pugsley France

Nadim Majdalani United States

Tomoko Kubori Japan

Françoise Jacob‐Dubuisson France

Christopher S. Hayes

2.0k ×0.8

1.8k ×0.9

GENET

1.2k ×0.7

ENDOC

657 ×0.8

ECOLO

599 ×0.9

Citations per year, relative to Christopher S. Hayes Christopher S. Hayes (= 1×) peers Françoise Jacob‐Dubuisson

Countries citing papers authored by Christopher S. Hayes

Since Specialization

Citations

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

Fields of papers citing papers by Christopher S. Hayes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher S. Hayes. 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 Christopher S. Hayes. The network helps show where Christopher S. Hayes may publish in the future.

Co-authorship network of co-authors of Christopher S. Hayes

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

All Works

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20 of 20 papers shown

Garza‐Sánchez, Fernando, et al.. (2024). Advanced glycation end-product crosslinking activates a type VI secretion system phospholipase effector protein. Nature Communications. 15(1). 8804–8804. 3 indexed citations

Jones, Allison M., et al.. (2024). Contact-dependent growth inhibition (CDI) systems deploy a large family of polymorphic ionophoric toxins for inter-bacterial competition. PLoS Genetics. 20(11). e1011494–e1011494. 3 indexed citations

Michalska, K., Fernando Garza‐Sánchez, William H. Eschenfeldt, et al.. (2019). Convergent Evolution of the Barnase/EndoU/Colicin/RelE (BECR) Fold in Antibacterial tRNase Toxins. Structure. 27(11). 1660–1674.e5. 23 indexed citations

Hayes, Christopher S., et al.. (2018). Non-pathogenic Escherichia coli Enhance Stx2a Production of E. coli O157:H7 Through Both bamA-Dependent and Independent Mechanisms. Frontiers in Microbiology. 9. 1325–1325. 16 indexed citations

Michalska, K., G. Joachimiak, R. Jedrzejczak, et al.. (2017). The CDI toxin of Yersinia kristensenii is a novel bacterial member of the RNase A superfamily. Nucleic Acids Research. 45(9). 5013–5025. 23 indexed citations

Koskiniemi, Sanna, Fernando Garza‐Sánchez, Natasha I. Edman, et al.. (2015). Genetic Analysis of the CDI Pathway from Burkholderia pseudomallei 1026b. PLoS ONE. 10(3). e0120265–e0120265. 25 indexed citations

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

Janssen, Brian D., Fernando Garza‐Sánchez, & Christopher S. Hayes. (2013). A-Site mRNA Cleavage Is Not Required for tmRNA-Mediated ssrA-Peptide Tagging. PLoS ONE. 8(11). e81319–e81319. 12 indexed citations

Lim, Yan Wei, Robert Schmieder, Matthew Haynes, et al.. (2013). Mechanistic Model of Rothia mucilaginosa Adaptation toward Persistence in the CF Lung, Based on a Genome Reconstructed from Metagenomic Data. PLoS ONE. 8(5). e64285–e64285. 42 indexed citations

10.

Garza‐Sánchez, Fernando, et al.. (2011). A novel family of toxin/antitoxin proteins in Bacillus species. FEBS Letters. 586(2). 132–136. 62 indexed citations

11.

Garza‐Sánchez, Fernando, Ryan E. Schaub, Brian D. Janssen, & Christopher S. Hayes. (2011). tmRNA regulates synthesis of the ArfA ribosome rescue factor. Molecular Microbiology. 80(5). 1204–1219. 70 indexed citations

12.

Poole, Stephen J., Elie J. Diner, Stephanie K. Aoki, et al.. (2011). Identification of Functional Toxin/Immunity Genes Linked to Contact-Dependent Growth Inhibition (CDI) and Rearrangement Hotspot (Rhs) Systems. PLoS Genetics. 7(8). e1002217–e1002217. 151 indexed citations

13.

Seidman, Jason S., Brian D. Janssen, & Christopher S. Hayes. (2011). Alternative Fates of Paused Ribosomes during Translation Termination. Journal of Biological Chemistry. 286(36). 31105–31112. 17 indexed citations

14.

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

15.

Janssen, Brian D. & Christopher S. Hayes. (2009). Kinetics of Paused Ribosome Recycling in Escherichia coli. Journal of Molecular Biology. 394(2). 251–267. 27 indexed citations

16.

Hayes, Christopher S. & Kenneth C. Keiler. (2009). Beyond ribosome rescue: tmRNA and co‐translational processes. FEBS Letters. 584(2). 413–419. 62 indexed citations

17.

Hayes, Christopher S., et al.. (2009). Ribosomal Protein S12 and Aminoglycoside Antibiotics Modulate A-site mRNA Cleavage and Transfer-Messenger RNA Activity in Escherichia coli. Journal of Biological Chemistry. 284(46). 32188–32200. 26 indexed citations

18.

Garza‐Sánchez, Fernando, et al.. (2008). Amino Acid Starvation and Colicin D Treatment Induce A-site mRNA Cleavage in Escherichia coli. Journal of Molecular Biology. 378(3). 505–519. 45 indexed citations

19.

Garza‐Sánchez, Fernando, Brian D. Janssen, & Christopher S. Hayes. (2006). Prolyl-tRNAPro in the A-site of SecM-arrested Ribosomes Inhibits the Recruitment of Transfer-messenger RNA. Journal of Biological Chemistry. 281(45). 34258–34268. 78 indexed citations

20.

Hayes, Christopher S. & Robert T. Sauer. (2003). Cleavage of the A Site mRNA Codon during Ribosome Pausing Provides a Mechanism for Translational Quality Control. Molecular Cell. 12(4). 903–911. 181 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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