Geoffrey C. Sutton

873 total citations
8 papers, 699 citations indexed

About

Geoffrey C. Sutton is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Geoffrey C. Sutton has authored 8 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Ecology and 1 paper in Infectious Diseases. Recurrent topics in Geoffrey C. Sutton's work include Bacteriophages and microbial interactions (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Geoffrey C. Sutton is often cited by papers focused on Bacteriophages and microbial interactions (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Geoffrey C. Sutton collaborates with scholars based in United Kingdom, Finland and United States. Geoffrey C. Sutton's co-authors include Christian Siebold, David I. Stuart, Jonathan M. Grimes, A.R. Aricescu, E. Yvonne Jones, Jonathan M. Diprose, Jaana K. H. Bamford, Dennis H. Bamford, Nicola G. A. Abrescia and J.J.B. Cockburn and has published in prestigious journals such as Nature, Science and Journal of Molecular Biology.

In The Last Decade

Geoffrey C. Sutton

8 papers receiving 686 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geoffrey C. Sutton United Kingdom 6 434 265 166 137 103 8 699
Christopher Bazinet United States 12 591 1.4× 327 1.2× 55 0.3× 206 1.5× 30 0.3× 15 793
Thierry Magnin United Kingdom 13 662 1.5× 267 1.0× 106 0.6× 56 0.4× 55 0.5× 17 851
Marieke Mastop Netherlands 8 808 1.9× 98 0.4× 112 0.7× 185 1.4× 36 0.3× 10 1.2k
Michael McCaffery United States 15 636 1.5× 126 0.5× 47 0.3× 200 1.5× 133 1.3× 19 1.2k
Anjana Srivatsan United States 14 1.0k 2.3× 183 0.7× 120 0.7× 47 0.3× 54 0.5× 17 1.3k
Jörg Bürger Germany 20 997 2.3× 161 0.6× 93 0.6× 72 0.5× 33 0.3× 32 1.2k
Ronald Mertz Germany 13 808 1.9× 71 0.3× 230 1.4× 93 0.7× 109 1.1× 13 1.1k
Simina Grigoriu United States 9 658 1.5× 165 0.6× 65 0.4× 51 0.4× 34 0.3× 12 897
Harry H. Low United Kingdom 14 957 2.2× 166 0.6× 77 0.5× 429 3.1× 40 0.4× 18 1.4k
V M Irikura United States 8 572 1.3× 172 0.6× 110 0.7× 133 1.0× 28 0.3× 9 994

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-authorship network of co-authors of Geoffrey C. Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey C. Sutton. A scholar is included among the top collaborators of Geoffrey C. 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 Geoffrey C. Sutton. Geoffrey C. Sutton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Coles, C.H., Yingjie Shen, Alan P. Tenney, et al.. (2011). Proteoglycan-Specific Molecular Switch for RPTPσ Clustering and Neuronal Extension. Science. 332(6028). 484–488. 255 indexed citations
2.
Clayton, Amber J., Christian Siebold, Robert J.C. Gilbert, et al.. (2009). Crystal Structure of the GluR2 Amino-Terminal Domain Provides Insights into the Architecture and Assembly of Ionotropic Glutamate Receptors. Journal of Molecular Biology. 392(5). 1125–1132. 61 indexed citations
3.
Jaafar, Fauziah Mohd, Houssam Attoui, Mohammad W. Bahar, et al.. (2005). The Structure and Function of the Outer Coat Protein VP9 of Banna Virus. Structure. 13(1). 17–28. 23 indexed citations
4.
Abrescia, Nicola G. A., J.J.B. Cockburn, Jonathan M. Grimes, et al.. (2004). Insights into assembly from structural analysis of bacteriophage PRD1. Nature. 432(7013). 68–74. 222 indexed citations
5.
Cockburn, J.J.B., Nicola G. A. Abrescia, Jonathan M. Grimes, et al.. (2004). Membrane structure and interactions with protein and DNA in bacteriophage PRD1. Nature. 432(7013). 122–125. 124 indexed citations
6.
Mancini, Erika J., Jonathan M. Grimes, Robyn Malby, et al.. (2003). Order and disorder in crystals of hexameric NTPases from dsRNA bacteriophages. Acta Crystallographica Section D Biological Crystallography. 59(12). 2337–2341. 5 indexed citations
7.
Sutton, Geoffrey C., Peter J. Quinn, & Nicholas J. Russell. (1990). Changes in phospholipid composition of bacterial membranes prevent formation of non-bilayer phases in vitro and in vivo by high solute concentrations. Biochemical Society Transactions. 18(5). 950–950. 2 indexed citations
8.
Sutton, Geoffrey C., Peter J. Quinn, & Nicholas J. Russell. (1990). The effect of salinity on the composition of fatty acid double-bond isomers andsn-1/sn-2 positional distribution in membrane phospholipids of a moderately halophilic eubacterium. Current Microbiology. 20(1). 43–46. 7 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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