Fernando Garza‐Sánchez

902 total citations
23 papers, 681 citations indexed

About

Fernando Garza‐Sánchez is a scholar working on Molecular Biology, Genetics and Endocrinology. According to data from OpenAlex, Fernando Garza‐Sánchez has authored 23 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Endocrinology. Recurrent topics in Fernando Garza‐Sánchez's work include Bacterial Genetics and Biotechnology (11 papers), RNA and protein synthesis mechanisms (10 papers) and Bacteriophages and microbial interactions (8 papers). Fernando Garza‐Sánchez is often cited by papers focused on Bacterial Genetics and Biotechnology (11 papers), RNA and protein synthesis mechanisms (10 papers) and Bacteriophages and microbial interactions (8 papers). Fernando Garza‐Sánchez collaborates with scholars based in United States, France and Czechia. Fernando Garza‐Sánchez's co-authors include Christopher S. Hayes, Brian D. Janssen, David A. Low, Ryan E. Schaub, Stephen J. Poole, Celia W. Goulding, Christina M. Beck, José A. Zertuche‐González, Shinichiro Shoji and Sanna Koskiniemi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Fernando Garza‐Sánchez

23 papers receiving 678 citations

Peers

Fernando Garza‐Sánchez
Richard P. Bonocora United States
Ursula Rdest Germany
Geoffrey B. Severin United States
Triana N. Dalia United States
Donna Perkins-Balding United States
Richard P. Bonocora United States
Fernando Garza‐Sánchez
Citations per year, relative to Fernando Garza‐Sánchez Fernando Garza‐Sánchez (= 1×) peers Richard P. Bonocora

Countries citing papers authored by Fernando Garza‐Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Garza‐Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Garza‐Sánchez. 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 Fernando Garza‐Sánchez. The network helps show where Fernando Garza‐Sánchez may publish in the future.

Co-authorship network of co-authors of Fernando Garza‐Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Garza‐Sánchez. A scholar is included among the top collaborators of Fernando Garza‐Sánchez 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 Fernando Garza‐Sánchez. Fernando Garza‐Sánchez 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.
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
2.
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
3.
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
4.
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
5.
Michalska, K., Fernando Garza‐Sánchez, Lucy Stols, et al.. (2017). Structure of a novel antibacterial toxin that exploits elongation factor Tu to cleave specific transfer RNAs. Nucleic Acids Research. 45(17). 10306–10320. 19 indexed citations
6.
Benoni, Roberto, Christina M. Beck, Fernando Garza‐Sánchez, et al.. (2017). Activation of an anti-bacterial toxin by the biosynthetic enzyme CysK: mechanism of binding, interaction specificity and competition with cysteine synthase. Scientific Reports. 7(1). 8817–8817. 8 indexed citations
7.
Jones, Allison M., et al.. (2017). Activation of contact-dependent antibacterial tRNase toxins by translation elongation factors. Proceedings of the National Academy of Sciences. 114(10). E1951–E1957. 34 indexed citations
8.
Garza‐Sánchez, Fernando, et al.. (2016). Functional Diversity of Cytotoxic tRNase/Immunity Protein Complexes from Burkholderia pseudomallei. Journal of Biological Chemistry. 291(37). 19387–19400. 25 indexed citations
9.
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
10.
Janssen, Brian D., Fernando Garza‐Sánchez, & Christopher S. Hayes. (2015). YoeB toxin is activated during thermal stress. MicrobiologyOpen. 4(4). 682–697. 24 indexed citations
11.
Koskiniemi, Sanna, Fernando Garza‐Sánchez, Linus Sandegren, et al.. (2014). Selection of Orphan Rhs Toxin Expression in Evolved Salmonella enterica Serovar Typhimurium. PLoS Genetics. 10(3). e1004255–e1004255. 56 indexed citations
12.
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
13.
Schaub, Ryan E., et al.. (2012). Proteobacterial ArfA Peptides Are Synthesized from Non-stop Messenger RNAs. Journal of Biological Chemistry. 287(35). 29765–29775. 36 indexed citations
14.
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
15.
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
16.
Diner, Elie J., Fernando Garza‐Sánchez, & Christopher S. Hayes. (2011). Genome Engineering Using Targeted Oligonucleotide Libraries and Functional Selection. Methods in molecular biology. 765. 71–82. 10 indexed citations
17.
Garza‐Sánchez, Fernando, Shinichiro Shoji, Kurt Fredrick, & Christopher S. Hayes. (2009). RNase II is important for A‐site mRNA cleavage during ribosome pausing. Molecular Microbiology. 73(5). 882–897. 36 indexed citations
18.
Garza‐Sánchez, Fernando, David J. Chapman, & James B. Cooper. (2009). NITZSCHIA OVALIS(BACILLARIOPHYCEAE) MONO LAKE STRAIN ACCUMULATES 1,4/2,5 CYCLOHEXANETETROL IN RESPONSE TO INCREASED SALINITY1. Journal of Phycology. 45(2). 395–403. 13 indexed citations
19.
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
20.
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

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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