Granger Sutton

18.5k total citations · 2 hit papers
45 papers, 3.7k citations indexed

About

Granger Sutton is a scholar working on Molecular Biology, Molecular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Granger Sutton has authored 45 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Molecular Medicine and 6 papers in Cognitive Neuroscience. Recurrent topics in Granger Sutton's work include Genomics and Phylogenetic Studies (13 papers), Antibiotic Resistance in Bacteria (9 papers) and RNA and protein synthesis mechanisms (6 papers). Granger Sutton is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Antibiotic Resistance in Bacteria (9 papers) and RNA and protein synthesis mechanisms (6 papers). Granger Sutton collaborates with scholars based in United States, Australia and United Kingdom. Granger Sutton's co-authors include Jason Miller, Sergey Koren, Justin Johnson, J. Craig Venter, P A Merton, Kevin Sykes, Eli Venter, Daniel H. Haft, Kelvin Li and James A. Reggia and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Granger Sutton

41 papers receiving 3.6k citations

Hit Papers

Assembly algorithms for next-generation sequencing data 2000 2026 2008 2017 2010 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Granger Sutton United States 25 1.7k 913 627 619 496 45 3.7k
Jeffrey Yuan United States 13 2.7k 1.6× 1.1k 1.2× 125 0.2× 998 1.6× 320 0.6× 24 4.4k
Kim Rutherford United Kingdom 25 3.4k 2.0× 1.2k 1.3× 150 0.2× 1.1k 1.9× 567 1.1× 46 6.2k
F. Corpet France 11 3.3k 2.0× 452 0.5× 164 0.3× 1.2k 1.9× 352 0.7× 12 5.4k
Daniela Puiu United States 29 2.9k 1.7× 645 0.7× 488 0.8× 1.8k 2.9× 363 0.7× 49 5.4k
Matthew Fraser United Kingdom 12 3.5k 2.1× 1.2k 1.4× 233 0.4× 2.0k 3.3× 271 0.5× 30 6.7k
Todd Wylie United States 29 1.7k 1.0× 427 0.5× 198 0.3× 491 0.8× 410 0.8× 54 4.2k
Martin Shumway United States 11 4.9k 2.9× 1.3k 1.4× 155 0.2× 1.8k 2.9× 580 1.2× 12 7.7k
Stephen W. Turner United States 20 4.5k 2.7× 1.2k 1.3× 89 0.1× 1.2k 1.9× 297 0.6× 22 6.2k
Brian P. Dalrymple Australia 40 2.7k 1.6× 402 0.4× 321 0.5× 530 0.9× 156 0.3× 120 5.1k
Shaun D. Jackman Canada 19 2.8k 1.6× 983 1.1× 103 0.2× 1.3k 2.1× 164 0.3× 32 4.4k

Countries citing papers authored by Granger Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Granger Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Granger Sutton. 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 Granger Sutton. The network helps show where Granger Sutton may publish in the future.

Co-authorship network of co-authors of Granger Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Granger Sutton. A scholar is included among the top collaborators of Granger Sutton 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 Granger Sutton. Granger Sutton 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.
Sutton, Granger, Paul M. Lantos, Kate Hoffman, et al.. (2023). Escherichia coli ST131 Associated with Increased Mortality in Bloodstream Infections from Urinary Tract Source. Journal of Clinical Microbiology. 61(7). e0019923–e0019923. 2 indexed citations
3.
Schriml, Lynn M., Maria Chuvochina, Neil Davies, et al.. (2020). COVID-19 pandemic reveals the peril of ignoring metadata standards. Scientific Data. 7(1). 188–188. 51 indexed citations
4.
Sutton, Granger, Felicia Ruffin, Lawrence P. Park, et al.. (2020). Newly Named Klebsiella aerogenes (formerly Enterobacter aerogenes) Is Associated with Poor Clinical Outcomes Relative to Other Enterobacter Species in Patients with Bloodstream Infection. Journal of Clinical Microbiology. 58(9). 37 indexed citations
6.
Singh, Indresh, et al.. (2019). OMeta: an ontology-based, data-driven metadata tracking system. BMC Bioinformatics. 20(1). 8–8. 9 indexed citations
7.
Miller, Jason, Sergey Koren, Kari A. Dilley, et al.. (2018). Analysis of the Aedes albopictus C6/36 genome provides insight into cell line utility for viral propagation. GigaScience. 7(3). 1–13. 47 indexed citations
8.
Becka, Scott A., Steven H. Marshall, Kevin Nguyen, et al.. (2018). Sequence heterogeneity of the PenA carbapenemase in clinical isolates of Burkholderia multivorans. Diagnostic Microbiology and Infectious Disease. 92(3). 253–258. 11 indexed citations
9.
Wright, Meredith S., Jamison McCorrison, Andrés Gómez, et al.. (2017). Strain Level Streptococcus Colonization Patterns during the First Year of Life. Frontiers in Microbiology. 8. 1661–1661. 8 indexed citations
10.
Chan, Agnes P., Granger Sutton, Jessica DePew, et al.. (2015). A novel method of consensus pan-chromosome assembly and large-scale comparative analysis reveal the highly flexible pan-genome of Acinetobacter baumannii. Genome Biology. 16(1). 143–143. 87 indexed citations
11.
Lehmann, Jason, Derrick E. Fouts, Daniel H. Haft, et al.. (2013). Pathogenomic Inference of Virulence-Associated Genes in Leptospira interrogans. PLoS neglected tropical diseases. 7(10). e2468–e2468. 41 indexed citations
12.
Miller, Jason, Sergey Koren, & Granger Sutton. (2010). Assembly algorithms for next-generation sequencing data. Genomics. 95(6). 315–327. 683 indexed citations breakdown →
13.
Koren, Sergey, Jason Miller, Brian P. Walenz, & Granger Sutton. (2010). An algorithm for automated closure during assembly. BMC Bioinformatics. 11(1). 457–457. 11 indexed citations
14.
Williamson, Shannon J., Douglas B. Rusch, Shibu Yooseph, et al.. (2008). The Sorcerer II Global Ocean Sampling Expedition: Metagenomic Characterization of Viruses within Aquatic Microbial Samples. PLoS ONE. 3(1). e1456–e1456. 246 indexed citations
15.
Johnson, Justin, Dana Busam, Tamara V. Feldblyum, et al.. (2006). A Sanger/pyrosequencing hybrid approach for the generation of high-quality draft assemblies of marine microbial genomes. Proceedings of the National Academy of Sciences. 103(30). 11240–11245. 190 indexed citations
16.
Florea, Liliana, Valentina Di Francesco, Jason Miller, et al.. (2005). Gene and alternative splicing annotation with AIR. Genome Research. 15(1). 54–66. 58 indexed citations
17.
Reggia, James A., et al.. (2000). Cortical inhibition as explained by the competitive distribution hypothesis. Intellect Books. 31–62.
18.
Casjens, Sherwood, N. Palmer, R van Vugt, et al.. (2000). A bacterial genome in flux: the twelve linear and nine circular extrachromosomal DNAs in an infectious isolate of the Lyme disease spirochete Borrelia burgdorferi. Molecular Microbiology. 35(3). 490–516. 656 indexed citations breakdown →
19.
Reggia, James A., et al.. (1992). A Competitive Distribution Theory of Neocortical Dynamics. Neural Computation. 4(3). 287–317. 47 indexed citations
20.
Merton, P A, et al.. (1956). NERVOUS GRADATION OF MUSCULAR CONTRACTION. British Medical Bulletin. 12(3). 214–218. 156 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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