Jonathan L. Sabo

524 total citations
10 papers, 429 citations indexed

About

Jonathan L. Sabo is a scholar working on Molecular Biology, Molecular Medicine and Biophysics. According to data from OpenAlex, Jonathan L. Sabo has authored 10 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Molecular Medicine and 3 papers in Biophysics. Recurrent topics in Jonathan L. Sabo's work include Receptor Mechanisms and Signaling (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). Jonathan L. Sabo is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). Jonathan L. Sabo collaborates with scholars based in United States and Australia. Jonathan L. Sabo's co-authors include Thomas R. Hynes, Evan A. Yost, Catherine H. Berlot, Patrick F. McDermott, Gregory H. Tyson, Peter N. Devreotes, Shaohua Zhao, Laurel S. Burall, Bixing Huang and Pongpan Laksanalamai and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Jonathan L. Sabo

10 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan L. Sabo United States 9 276 81 67 62 54 10 429
Jinhong Hu China 12 231 0.8× 12 0.1× 31 0.5× 33 0.5× 30 0.6× 32 494
Atina G. Coté Canada 13 889 3.2× 14 0.2× 28 0.4× 22 0.4× 34 0.6× 21 1.2k
Srikannathasan Velupillai United Kingdom 11 374 1.4× 39 0.5× 21 0.3× 43 0.7× 46 0.9× 14 622
Kevin Thornton Ireland 15 280 1.0× 54 0.7× 51 0.8× 14 0.2× 18 0.3× 24 600
Margrith E. Mattmann United States 16 855 3.1× 84 1.0× 20 0.3× 11 0.2× 63 1.2× 20 1.0k
Marc Gitzinger Switzerland 11 354 1.3× 24 0.3× 17 0.3× 7 0.1× 57 1.1× 16 579
Jean-Marc Jeckelmann Switzerland 15 431 1.6× 18 0.2× 53 0.8× 15 0.2× 23 0.4× 32 644
Eduardo José Nepomuceno Montenegro Brazil 11 299 1.1× 12 0.1× 10 0.1× 37 0.6× 35 0.6× 27 509
Robert Rentzsch United Kingdom 12 768 2.8× 10 0.1× 21 0.3× 20 0.3× 24 0.4× 13 894
Hongmei Xie China 9 504 1.8× 91 1.1× 19 0.3× 87 1.4× 25 0.5× 15 661

Countries citing papers authored by Jonathan L. Sabo

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan L. Sabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan L. Sabo. 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 Jonathan L. Sabo. The network helps show where Jonathan L. Sabo may publish in the future.

Co-authorship network of co-authors of Jonathan L. Sabo

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

All Works

10 of 10 papers shown
1.
Tyson, Gregory H., et al.. (2018). Whole-genome sequencing based characterization of antimicrobial resistance in Enterococcus. Pathogens and Disease. 76(2). 41 indexed citations
2.
Tyson, Gregory H., Jonathan L. Sabo, Maria Hoffmann, et al.. (2018). Novel linezolid resistance plasmids in Enterococcus from food animals in the USA. Journal of Antimicrobial Chemotherapy. 73(12). 3254–3258. 34 indexed citations
3.
Tyson, Gregory H., Shaohua Zhao, Cong Li, et al.. (2016). Establishing Genotypic Cutoff Values To Measure Antimicrobial Resistance in Salmonella. Antimicrobial Agents and Chemotherapy. 61(3). 27 indexed citations
4.
Klontz, Karl C., Pamela LeBlanc, Beverly J. Wolpert, et al.. (2015). The Role of Adverse Event Reporting in the FDA Response to a Multistate Outbreak of Liver Disease Associated with a Dietary Supplement. Public Health Reports. 130(5). 526–532. 34 indexed citations
5.
Jackson, Scott A., Michael L. Kotewicz, Gopal Gopinath, et al.. (2014). Comparison of Salmonella enterica serovar Bovismorbificans 2011 hummus outbreak strains with non-outbreak strains. Food Microbiology. 46. 627–634. 6 indexed citations
6.
Laksanalamai, Pongpan, Bixing Huang, Jonathan L. Sabo, et al.. (2014). Genomic Characterization of Novel Listeria monocytogenes Serotype 4b Variant Strains. PLoS ONE. 9(2). e89024–e89024. 29 indexed citations
7.
Yost, Evan A., et al.. (2007). Live Cell Analysis of G Protein β5 Complex Formation, Function, and Targeting. Molecular Pharmacology. 72(4). 812–825. 39 indexed citations
8.
9.
Hynes, Thomas R., et al.. (2004). Visualization of G Protein βγ Dimers Using Bimolecular Fluorescence Complementation Demonstrates Roles for Both β and γ in Subcellular Targeting. Journal of Biological Chemistry. 279(29). 30279–30286. 88 indexed citations
10.

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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2026