Geoffrey C. Sutton

873 citations
8 papers · 699 · h-index 6

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 2
    • Protein Tyrosine Phosphatases 1
    • RNA and protein synthesis mechanisms 1
    • Genomics and Phylogenetic Studies 1
    • Bacteriophages and microbial interactions 3

Geoffrey C. Sutton

8 papers receiving 686 citations

Peers

Geoffrey C. Sutton
Comparison fields: 5 of 71
  • Ecology 265
  • Cellular and Molecular Neuroscience 166
  • Cell Biology 137
  • Structural Biology 9
  • Molecular Biology 434
Replace Marieke Mastop with:
Marieke Mastop Netherlands
Christelle Langevin France
Mark P. Dodding United Kingdom
Matthias Flötenmeyer Germany
Isolde Riede Germany
V M Irikura United States
Anja W. M. de Jong Netherlands
Brigitte Walderich Germany
Katherine Leon United States
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Citations per field
00.5×2.7×
Marieke Mastop · 1×
Citations per year

Countries citing papers authored by Geoffrey C. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey C. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Geoffrey C. Sutton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Geoffrey C. Sutton Line = papers co-authored together Geoffrey C. Sutton links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011255
2 2004222
3 2004124
4 200961
5 200523
6 19907
7 20035
8 19902

About Geoffrey C. Sutton

Geoffrey C. Sutton is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 8 papers that have together received 699 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (3 papers), Lipid Membrane Structure and Behavior (2 papers), Electrostatics and Colloid Interactions (1 paper), Protein Tyrosine Phosphatases (1 paper), Molecular Sensors and Ion Detection (1 paper), RNA and protein synthesis mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Ecology (265 citations), Cellular and Molecular Neuroscience (166 citations), Cell Biology (137 citations), Structural Biology (9 citations) and Molecular Biology (434 citations). Geoffrey C. Sutton has collaborated with scholars based in United Kingdom, Finland and United States. Frequent co-authors include Christian Siebold, Jonathan M. Grimes, David I. Stuart, E. Yvonne Jones, A.R. Aricescu, J.J.B. Cockburn, Dennis H. Bamford, Jonathan M. Diprose, Nicola G. A. Abrescia and Jaana K. H. Bamford. Their work appears in journals such as Nature, Structure, Biochemical Society Transactions, Science and Current Microbiology.

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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