Keith J Sumption

72 papers receiving 2.3k citations

Peers

Keith J Sumption
Comparison fields: 5 of 91
  • Agronomy and Crop Science 1.8k
  • Parasitology 243
  • Virology 52
  • Small Animals 50
  • Animal Science and Zoology 37
Replace G. R. Thomson with:
G. R. Thomson South Africa
Vittorio Gubertì Italy
Daniel Beltrán‐Alcrudo Italy
Livio Edward Heath South Africa
Keith S. Howe United Kingdom
W. R. Hess United States
Divakar Hemadri India
Anja Globig Germany
Alessandro Broglia Italy
Sophie Rossi France
Keith J Sumption relative to G. R. Thomson South Africa G. R. Thomson's profile →
Citations per field
00.5×2×3×4×4.9×
G. R. Thomson · 1×
Citations per year

Countries citing papers authored by Keith J Sumption

Since Specialization
Citations

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

Fields of papers citing papers by Keith J Sumption

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith J Sumption. 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 Keith J Sumption. The network helps show where Keith J Sumption may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003260
2 2008254
3 2009204
4 200877
5 200976
6 198573
7 200873
8 201267
9 200864
10 202164
11 201261
12 199560
13 201649
14 201448
15 199846
16 202144
17 201643
18 199041
19 201041
20 201341

About Keith J Sumption

Keith J Sumption is a scholar working on Agronomy and Crop Science, Parasitology, Infectious Diseases, Applied Microbiology and Biotechnology and Virology, having authored 72 papers that have together received 2.4k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (48 papers), Vector-borne infectious diseases (14 papers), Zoonotic diseases and public health (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Veterinary medicine and infectious diseases (1 paper), Data-Driven Disease Surveillance (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Poxvirus research and outbreaks (1 paper). The work is most often cited by research in Agronomy and Crop Science (1.8k citations), Parasitology (243 citations), Virology (52 citations), Small Animals (50 citations) and Animal Science and Zoology (37 citations). Keith J Sumption has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include David James Paton, Bryan Charleston, Mark M. Rweyemamu, Simon J. Barteling, R. Casas Olascoaga, PAUL SUTMOLLER, Nick J. Knowles, P. L. Roeder, Yves Leforban and Théodore Knight-Jones. Their work appears in journals such as Transboundary and Emerging Diseases, Veterinary Record, Vaccine, Scientific and Technical Review (World Organisation for Animal Health) and Frontiers in Veterinary Science.

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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