Granger Sutton
Impact in
- Endocrinology top 5%
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Genomics and Phylogenetic Studies 17
- RNA and protein synthesis mechanisms 4
- Genetics, Bioinformatics, and Biomedical Research 2
- Machine Learning in Bioinformatics 2
- Biomedical Text Mining and Ontologies 2
- Ecology 7
- Microbial Community Ecology and Physiology 5
- Bacteriophages and microbial interactions 2
- Co-authors
- Erin Beck (4 shared papers)Chris Fields (2 shared papers)Carol J. Bult (2 shared papers)Rebecca A. Clayton (1 shared paper)Lauren Brinkac (5 shared papers)Derrick E. Fouts (3 shared papers)Jason Inman (2 shared papers)Aaron L. Halpern (2 shared papers)
- Journals
- Nucleic Acids Research (5 papers)Bioinformatics (3 papers)Journal of Computational Biology (2 papers)BMC Bioinformatics (1 paper)Nature (1 paper)
- Partner nations
- United StatesSouth AfricaItaly
In The Last Decade
Granger Sutton
18 papers receiving 984 citations
Peers
Comparison fields: 5 of 102
- Endocrinology 88
- Molecular Medicine 77
- Microbiology 9
- Molecular Biology 722
- Ecology 218
Countries citing papers authored by Granger Sutton
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
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-authors
The 25 scholars most cited alongside Granger Sutton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 203 | |
| 2 | 1995 | 196 | |
| 3 | 2004 | 175 | |
| 4 | 2012 | 152 | |
| 5 | 2008 | 79 | |
| 6 | 2016 | 75 | |
| 7 | 2008 | 31 | |
| 8 | 1993 | 25 | |
| 9 | 2011 | 18 | |
| 10 | 2005 | 16 | |
| 11 | 2015 | 11 | |
| 12 | 2017 | 10 | |
| 13 | The comprehensive microbial resource | 2000 | 9 |
| 14 | 2018 | 9 | |
| 15 | 2009 | 4 | |
| 16 | 1995 | 4 | |
| 17 | 2004 | 3 | |
| 18 | The impact of rapid gene discovery technology on studies of evolution and biodiversity. | 1997 | 3 |
About Granger Sutton
Granger Sutton is a scholar working on Molecular Biology, Ecology, Plant Science, Artificial Intelligence and Food Science, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Microbial Community Ecology and Physiology (5 papers), RNA and protein synthesis mechanisms (4 papers), Chromosomal and Genetic Variations (4 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Machine Learning in Bioinformatics (2 papers), Bacteriophages and microbial interactions (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Endocrinology (88 citations), Molecular Medicine (77 citations), Microbiology (9 citations), Molecular Biology (722 citations) and Ecology (218 citations). Granger Sutton has collaborated with scholars based in United States, South Africa and Italy. Frequent co-authors include Erin Beck, Chris Fields, Carol J. Bult, Rebecca A. Clayton, Lauren Brinkac, Derrick E. Fouts, Jason Inman, Aaron L. Halpern, George M Garrity and Brian J. Tindall. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Journal of Computational Biology, BMC Bioinformatics and Nature.
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.