Keith Sumption

3.0k citations
68 papers · 2.2k indexed · h-index 26

Keith Sumption

66 papers receiving 2.1k citations

Peers

Keith Sumption
Comparison fields: 5 of 98
  • Agronomy and Crop Science 1.7k
  • Ecology, Evolution, Behavior and Systematics 1.5k
  • Cardiology and Cardiovascular Medicine 1.4k
  • Parasitology 143
  • Infectious Diseases 327
Replace Vittorio Gubertì with:
Vittorio Gubertì Italy
C. Hamblin United Kingdom
F. Koenen Belgium
Arvo Viltrop Estonia
Karl Ståhl Sweden
Lina Mur Spain
Divakar Hemadri India
Helen Clare Roberts United Kingdom
Frank Norbert Mwiine Uganda
Denis Kolbasov Russia
Keith Sumption relative to Vittorio Gubertì Italy Vittorio Gubertì's profile →
Citations per field
00.5×3.1×
Vittorio Gubertì · 1×
Citations per year

Countries citing papers authored by Keith Sumption

Since Specialization
Citations

This map shows the geographic impact of Keith 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 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 Sumption more than expected).

Fields of papers citing papers by Keith Sumption

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 20231
3 20222
4 20214
5
Evaluation de la sensibilité du réseau d'épidémiosurveillance des maladies animales au Tchad pour la surveillance de la fièvre aphteuse
20171
6 201533
7 201260
8 201039
9 200914
10 200873
11 200865
12 200877
13 20025
14 20028
15 199845
16 199838
17 19960
18 199522
19 199522
20 199040

About Keith Sumption

Keith Sumption is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine, Parasitology and Applied Microbiology and Biotechnology, having authored 68 papers that have together received 2.2k indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (48 papers), Animal Disease Management and Epidemiology (46 papers), Viral Infections and Immunology Research (39 papers), Vector-borne infectious diseases (9 papers), Viral Infections and Vectors (6 papers), Zoonotic diseases and public health (5 papers), Insect symbiosis and bacterial influences (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Agronomy and Crop Science (1.7k citations), Ecology, Evolution, Behavior and Systematics (1.5k citations), Cardiology and Cardiovascular Medicine (1.4k citations), Parasitology (143 citations) and Infectious Diseases (327 citations). Keith Sumption has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include David J. Paton, Bryan Charleston, Mark M. Rweyemamu, R. Casas Olascoaga, P. Sutmöller, Nick J. Knowles, P. L. Roeder, Yves Leforban, Théodore Knight-Jones and Donald R. Mackay. Their work appears in journals such as Transboundary and Emerging Diseases, Veterinary Record, Vaccine, Revue Scientifique et Technique de l OIE and Scientific Reports.

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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2026