Wayne Martin

646 citations
25 papers · 472 · h-index 13

Impact in

Papers in

Wayne Martin

25 papers receiving 428 citations

Peers

Wayne Martin
Comparison fields: 5 of 90
  • Agronomy and Crop Science 110
  • Animal Science and Zoology 108
  • Food Science 190
  • Small Animals 64
  • Infectious Diseases 152
Replace S. Menéndez with:
S. Menéndez Spain
Sk Shaheenur Islam Bangladesh
J. P. Jolly France
Sharmin Chowdhury Bangladesh
Susan E. Lance United States
S. Fenwick Australia
F. W. van Schie Netherlands
M.J. Vilar Spain
Mily Leblanc-Maridor France
J.A. Ameh Nigeria
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Citations per field
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Citations per year

Countries citing papers authored by Wayne Martin

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200660
2 201851
3 200749
4 201141
5 201238
6 198329
7 201823
8 200720
9
Factors associated with the early detection of foot-and-mouth disease during the 2001 epidemic in the United Kingdom.
200920
10
A field trial to evaluate the efficacy of a commercial Pasteurella haemolytica bacterial extract in preventing bovine respiratory disease.
199020
11 201318
12
Detection of clusters of Salmonella in animals in Ontario from 1991 to 2001.
200515
13 196113
14 200811
15 198411
16 200610
17 20019
18 19829
19 20238
20 20148

About Wayne Martin

Wayne Martin is a scholar working on Infectious Diseases, Agronomy and Crop Science, Food Science, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 472 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (6 papers), Salmonella and Campylobacter epidemiology (6 papers), Tuberculosis Research and Epidemiology (4 papers), Viral Infections and Immunology Research (3 papers), Advanced Causal Inference Techniques (2 papers), Vector-Borne Animal Diseases (2 papers), Microbial infections and disease research (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Agronomy and Crop Science (110 citations), Animal Science and Zoology (108 citations), Food Science (190 citations), Small Animals (64 citations) and Infectious Diseases (152 citations). Wayne Martin has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Jun Wang, Olaf Berke, Jarle Reiersen, Ruff Lowman, Michele T. Guerin, Simon J. More, K. Frankena, Scott A. McEwen, James O’Keeffe and Jean-Robert Bisaillon. Their work appears in journals such as Preventive Veterinary Medicine, Irish Veterinary Journal, Animals, Journal of Clinical Microbiology and BMC Veterinary Research.

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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