R.L. Sanson

41 papers receiving 887 citations

Peers

R.L. Sanson
Comparison fields: 5 of 40
  • Agronomy and Crop Science 654
  • Small Animals 46
  • Parasitology 12
  • Modeling and Simulation 6
  • Infectious Diseases 20
Replace Miguel Angel Tuz Sierra with:
Miguel Angel Tuz Sierra Spain
Michèle Bodmer Switzerland
Abdelhaq Anouassi United States
Ron J. Erskine United States
Tomohito Hayashi Japan
Daniela C. Hadorn Switzerland
Rasoul Kowsar Iran
Beth A. Miller United States
Manuele Liciardi Italy
James E. D. Mlangwa Tanzania
R.L. Sanson relative to Miguel Angel Tuz Sierra Spain Miguel Angel Tuz Sierra's profile →
Citations per field
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Miguel Angel Tuz Sierra · 1×
Citations per year

Countries citing papers authored by R.L. Sanson

Since Specialization
Citations

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

Fields of papers citing papers by R.L. Sanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.L. Sanson. 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 R.L. Sanson. The network helps show where R.L. Sanson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001145
2 201277
3 199763
4 200249
5 199445
6
THE DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR AN ANIMAL DISEASE EMERGENCY
199344
7 201443
8 200040
9 200738
10 199933
11 201130
12 200529
13 199128
14 199327
15
Evaluating alternative approaches to managing animal disease outbreaks--the role of modelling in policy formulation.
201024
16
Tuberculosis in goats.
198820
17 199120
18 201819
19 201117
20 201817

About R.L. Sanson

R.L. Sanson is a scholar working on Agronomy and Crop Science, Small Animals, Parasitology, Insect Science and Nutrition and Dietetics, having authored 41 papers that have together received 968 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (31 papers), Vector-borne infectious diseases (1 paper), Tuberculosis Research and Epidemiology (1 paper), Data-Driven Disease Surveillance (1 paper), Insect and Pesticide Research (1 paper), Selenium in Biological Systems (1 paper), Prion Diseases and Protein Misfolding (1 paper) and Veterinary Medicine and Surgery (1 paper). The work is most often cited by research in Agronomy and Crop Science (654 citations), Small Animals (46 citations), Parasitology (12 citations), Modeling and Simulation (6 citations) and Infectious Diseases (20 citations). R.L. Sanson has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include ROGER S. MORRIS, Mark Anthony Stevenson, M.W. Stern, J. W. Wilesmith, B.R. Jones, M. Graeme Garner, Dirk Udo Pfeiffer, John Griffin, Laura E. Burgin and Sharon Roche. Their work appears in journals such as New Zealand Veterinary Journal, Scientific and Technical Review (World Organisation for Animal Health), Preventive Veterinary Medicine, Veterinary Record and Epidemiology and Infection.

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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