Geoff C. Sutton

2.9k citations
43 papers · 2.3k · h-index 25

Impact in

Papers in

Geoff C. Sutton

42 papers receiving 2.3k citations

Peers

Geoff C. Sutton
Comparison fields: 5 of 100
  • Structural Biology 189
  • Infectious Diseases 736
  • Agronomy and Crop Science 266
  • Ecology, Evolution, Behavior and Systematics 409
  • Radiation 158
Replace Jonathan M. Diprose with:
Jonathan M. Diprose United Kingdom
Nicola G. A. Abrescia Spain
Fasséli Coulibaly Australia
Evelyn Schubert Germany
Xuekui Yu United States
Bettina Böttcher Germany
Joanita Jakana United States
Dennis C. Winkler United States
Robyn L. Malby Australia
Cristina Risco Spain
Geoff C. Sutton relative to Jonathan M. Diprose United Kingdom Jonathan M. Diprose's profile →
Citations per field
00.5×2×4×6×7.9×
Jonathan M. Diprose · 1×
Citations per year

Countries citing papers authored by Geoff C. Sutton

Since Specialization
Citations

This map shows the geographic impact of Geoff 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 Geoff 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 Geoff C. Sutton more than expected).

Fields of papers citing papers by Geoff C. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Geoff 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 Geoff C. Sutton Line = papers co-authored together Geoff C. Sutton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005224
2 2004205
3 2010176
4 2003124
5 1999119
6 2012112
7 2015110
8 2009104
9 2017102
10 2008101
11 200994
12 199788
13 200779
14 201468
15 201558
16 201555
17 200949
18 200944
19 201341
20 202036

About Geoff C. Sutton

Geoff C. Sutton is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Ecology and Molecular Biology, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (13 papers), Viral Infections and Vectors (11 papers), Enzyme Structure and Function (11 papers), Viral gastroenteritis research and epidemiology (9 papers), Bacteriophages and microbial interactions (9 papers), Animal Disease Management and Epidemiology (8 papers), RNA and protein synthesis mechanisms (6 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Structural Biology (189 citations), Infectious Diseases (736 citations), Agronomy and Crop Science (266 citations), Ecology, Evolution, Behavior and Systematics (409 citations) and Radiation (158 citations). Geoff C. Sutton has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include David Ian Stuart, Jonathan M. Grimes, Karl Harlos, Peter Mertens, Polly Roy, E. Yvonne Jones, Danny Axford, Gwyndaf Evans, Alexandru Radu Aricescu and Elena Seiradake. Their work appears in journals such as Nature Communications, Virus Research, Nature Structural & Molecular Biology, Structure and Virology.

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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