Granger Sutton

16.3k total citations
18 papers, 1.0k citations indexed

About

Granger Sutton is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Granger Sutton has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Ecology and 4 papers in Plant Science. Recurrent topics in Granger Sutton's work include Genomics and Phylogenetic Studies (17 papers), Microbial Community Ecology and Physiology (5 papers) and Chromosomal and Genetic Variations (4 papers). Granger Sutton is often cited by papers focused on Genomics and Phylogenetic Studies (17 papers), Microbial Community Ecology and Physiology (5 papers) and Chromosomal and Genetic Variations (4 papers). Granger Sutton collaborates with scholars based in United States, South Africa and Italy. Granger Sutton's co-authors include Erin Beck, Chris Fields, Rebecca A. Clayton, Carol J. Bult, Lauren Brinkac, Derrick E. Fouts, Jason Inman, Aaron L. Halpern, George M Garrity and Brian J. Tindall and has published in prestigious journals such as Nature, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Granger Sutton

18 papers receiving 984 citations

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 11 722 225 218 217 88 18 1.0k
Chunhong Mao United States 20 684 0.9× 167 0.7× 131 0.6× 138 0.6× 56 0.6× 36 1.1k
Weilong Hao United States 19 1.0k 1.4× 307 1.4× 198 0.9× 265 1.2× 87 1.0× 44 1.4k
Muriel Gaillard Switzerland 8 561 0.8× 172 0.8× 295 1.4× 241 1.1× 161 1.8× 8 979
Yongbing Zhao China 15 779 1.1× 201 0.9× 191 0.9× 131 0.6× 74 0.8× 28 1.2k
Khai Luong United States 16 694 1.0× 121 0.5× 257 1.2× 136 0.6× 48 0.5× 19 993
Zbigniew Pietras Poland 13 456 0.6× 196 0.9× 71 0.3× 167 0.8× 118 1.3× 18 858
D. Haas Switzerland 16 765 1.1× 322 1.4× 253 1.2× 439 2.0× 94 1.1× 20 1.2k
B. S. Biehl United States 9 383 0.5× 419 1.9× 144 0.7× 83 0.4× 79 0.9× 10 953
María Antonia Sánchez-Romero Spain 15 570 0.8× 138 0.6× 257 1.2× 350 1.6× 164 1.9× 35 979
Sandrine Poncet France 25 1.2k 1.7× 226 1.0× 251 1.2× 546 2.5× 82 0.9× 40 1.7k

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

18 of 18 papers shown
1.
Clarke, Thomas H., Lauren Brinkac, Granger Sutton, & Derrick E. Fouts. (2018). GGRaSP: a R-package for selecting representative genomes using Gaussian mixture models. Bioinformatics. 34(17). 3032–3034. 9 indexed citations
2.
Brinkac, Lauren, Erin Beck, Jason Inman, et al.. (2017). LOCUST: a custom sequence locus typer for classifying microbial isolates. Bioinformatics. 33(11). 1725–1726. 10 indexed citations
3.
4.
Tripp, H. James, Granger Sutton, Owen White, et al.. (2015). Toward a standard in structural genome annotation for prokaryotes. Standards in Genomic Sciences. 10(1). 45–45. 11 indexed citations
5.
Fouts, Derrick E., Lauren Brinkac, Erin Beck, Jason Inman, & Granger Sutton. (2012). PanOCT: automated clustering of orthologs using conserved gene neighborhood for pan-genomic analysis of bacterial strains and closely related species. Nucleic Acids Research. 40(22). e172–e172. 152 indexed citations
6.
Madupu, Ramana, Robert J. Dodson, Lauren Brinkac, et al.. (2011). CharProtDB: a database of experimentally characterized protein annotations. Nucleic Acids Research. 40(D1). D237–D241. 18 indexed citations
7.
Davidsen, Tanja M., Erin Beck, Robert A. Montgomery, et al.. (2009). The comprehensive microbial resource. Nucleic Acids Research. 38(suppl_1). D340–D345. 203 indexed citations
8.
Goll, Johannes B., Robert A. Montgomery, Lauren Brinkac, et al.. (2009). The Protein Naming Utility: a rules database for protein nomenclature. Nucleic Acids Research. 38(suppl_1). D336–D339. 4 indexed citations
9.
Denisov, Gennady, Brian P. Walenz, Aaron L. Halpern, et al.. (2008). Consensus generation and variant detection by Celera Assembler. Bioinformatics. 24(8). 1035–1040. 79 indexed citations
10.
Yooseph, Shibu, Weizhong Li, & Granger Sutton. (2008). Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering. BMC Bioinformatics. 9(1). 182–182. 31 indexed citations
11.
Dew, Ian, Brian P. Walenz, & Granger Sutton. (2005). A Tool for Analyzing Mate Pairs in Assemblies (TAMPA). Journal of Computational Biology. 12(5). 497–513. 16 indexed citations
12.
She, Xinwei, Zhaoshi Jiang, Royden A. Clark, et al.. (2004). Shotgun sequence assembly and recent segmental duplications within the human genome. Nature. 431(7011). 927–930. 175 indexed citations
13.
Shatkay, Hagit, Jason Miller, Clark Mobarry, et al.. (2004). ThurGood: Evaluating Assembly-to-Assembly Mapping. Journal of Computational Biology. 11(5). 800–811. 3 indexed citations
14.
Davidsen, Tanja M., Erin Beck, Robert A. Montgomery, et al.. (2000). The comprehensive microbial resource. 12. 97. 9 indexed citations
15.
Bult, Carol J., Judith A. Blake, Mark D. Adams, et al.. (1997). The impact of rapid gene discovery technology on studies of evolution and biodiversity.. 289–299. 3 indexed citations
16.
Clayton, Rebecca A., et al.. (1995). Intraspecific Variation in Small-Subunit rRNA Sequences in GenBank: Why Single Sequences May Not Adequately Represent Prokaryotic Taxa. International Journal of Systematic Bacteriology. 45(3). 595–599. 196 indexed citations
17.
Kerlavage, Anthony R., William W. Fitzhugh, Joan Kelley, et al.. (1995). Data management and analysis for high-throughput DNA sequencing projects. IEEE Engineering in Medicine and Biology Magazine. 14(6). 710–717. 4 indexed citations
18.
White, Owen, Ted Dunning, Granger Sutton, et al.. (1993). A quality control algorithm for DNA sequencing projects. Nucleic Acids Research. 21(16). 3829–3838. 25 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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