Granger Sutton
Impact in
- Parasitology top 0.5%
- Vector-borne infectious diseases
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
-
- Antibiotic Resistance in Bacteria 9
- Co-authors
- Jason Miller (5 shared papers)Sergey Koren (4 shared papers)Justin Johnson (3 shared papers)P A Merton (1 shared paper)J. Craig Venter (4 shared papers)Kevin Sykes (2 shared papers)Kelvin Li (2 shared papers)Eli Venter (2 shared papers)
- Journals
- BMC Bioinformatics (3 papers)Bioinformatics (2 papers)Journal of Neurology Neurosurgery & Psychiatry (2 papers)The Journal of Physiology (2 papers)Neural Computation (2 papers)
- Partner nations
- United StatesAustraliaSouth Africa
In The Last Decade
Granger Sutton
41 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Parasitology 627
- Molecular Medicine 322
- Endocrinology 251
- Ecology 913
- Microbiology 185
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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Assembly algorithms for next-generation sequencing data Hit paper breakdown → | 2010 | 683 |
| 2 | A bacterial genome in flux: the twelve linear and nine circular extrachromosomal DNAs in an infectious isolate of the Lyme disease spirochete Borrelia burgdorferi Hit paper breakdown → | 2000 | 656 |
| 3 | 2008 | 366 | |
| 4 | 2008 | 246 | |
| 5 | 2010 | 228 | |
| 6 | 2006 | 190 | |
| 7 | 1956 | 156 | |
| 8 | 2016 | 146 | |
| 9 | 2010 | 118 | |
| 10 | 2015 | 87 | |
| 11 | 1974 | 78 | |
| 12 | 1996 | 73 | |
| 13 | 2019 | 63 | |
| 14 | 2005 | 58 | |
| 15 | 1967 | 54 | |
| 16 | 2020 | 51 | |
| 17 | 2007 | 48 | |
| 18 | 2018 | 47 | |
| 19 | 1992 | 47 | |
| 20 | 1994 | 43 |
About Granger Sutton
Granger Sutton is a scholar working on Molecular Medicine, Endocrinology, Neurology, Cognitive Neuroscience and Parasitology, having authored 45 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Antibiotic Resistance in Bacteria (9 papers), RNA and protein synthesis mechanisms (6 papers), Neural dynamics and brain function (5 papers), Neurological disorders and treatments (4 papers), Plant Pathogenic Bacteria Studies (4 papers), Neural Networks and Applications (4 papers) and Microbial Community Ecology and Physiology (4 papers). The work is most often cited by research in Parasitology (627 citations), Molecular Medicine (322 citations), Endocrinology (251 citations), Ecology (913 citations) and Microbiology (185 citations). Granger Sutton has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Jason Miller, Sergey Koren, Justin Johnson, P A Merton, J. Craig Venter, Kevin Sykes, Kelvin Li, Eli Venter, James A. Reggia and Daniel H. Haft. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Journal of Neurology Neurosurgery & Psychiatry, The Journal of Physiology and Neural Computation.
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.