John M. Sutton
Impact in
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- Genetics, Aging, and Longevity in Model Organisms
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- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
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- Genomics and Phylogenetic Studies 4
- Protist diversity and phylogeny 2
- Enzyme Catalysis and Immobilization 1
- Ecology 5
- Microbial Community Ecology and Physiology 5
- Co-authors
- Janna L. Fierst (11 shared papers)Ronald S. Oremland (7 shared papers)S. M. Baesman (7 shared papers)Denise M. Akob (7 shared papers)K. Haase (3 shared papers)Laurence G. Miller (1 shared paper)George W. Luther (1 shared paper)Jeffrey D. Lozier (1 shared paper)
- Journals
- Applied and Environmental Microbiology (2 papers)Molecular Biology and Evolution (1 paper)FEMS Microbiology Ecology (1 paper)PeerJ (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
John M. Sutton
12 papers receiving 142 citations
Peers
Comparison fields: 5 of 54
- Aging 9
- Pollution 30
- Insect Science 21
- Applied Microbiology and Biotechnology 3
- Molecular Medicine 8
Countries citing papers authored by John M. Sutton
This map shows the geographic impact of John M. 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 John M. Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Sutton more than expected).
Fields of papers citing papers by John M. Sutton
This network shows the impact of papers produced by John M. 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 John M. Sutton. The network helps show where John M. Sutton may publish in the future.
Co-authors
The 20 scholars most cited alongside John M. 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 | 2018 | 48 | |
| 2 | 2017 | 27 | |
| 3 | 2020 | 23 | |
| 4 | 2021 | 13 | |
| 5 | 2020 | 8 | |
| 6 | 2017 | 7 | |
| 7 | 2023 | 6 | |
| 8 | 2017 | 5 | |
| 9 | 2019 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2017 | 1 |
About John M. Sutton
John M. Sutton is a scholar working on Molecular Biology, Ecology, Plant Science, Environmental Engineering and Genetics, having authored 12 papers that have together received 146 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (5 papers), Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Protist diversity and phylogeny (2 papers), Microbial Fuel Cells and Bioremediation (2 papers), Enzyme Catalysis and Immobilization (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Aging (9 citations), Pollution (30 citations), Insect Science (21 citations), Applied Microbiology and Biotechnology (3 citations) and Molecular Medicine (8 citations). John M. Sutton has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Janna L. Fierst, Ronald S. Oremland, S. M. Baesman, Denise M. Akob, K. Haase, Laurence G. Miller, George W. Luther, Jeffrey D. Lozier, James P. Strange and Darren S. Dunlap. Their work appears in journals such as Applied and Environmental Microbiology, Molecular Biology and Evolution, FEMS Microbiology Ecology, PeerJ and G3 Genes Genomes Genetics.
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.