Kevin May

19 papers receiving 446 citations

Peers

Kevin May
Comparison fields: 5 of 73
  • Small Animals 138
  • Epidemiology 353
  • Infectious Diseases 166
  • Equine 15
  • Microbiology 6
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Rebecca Kwait United States
Iván Gómez Colombia
Júlia Silveira Vianna Brazil
Kathleen A. Wright United States
Javier Santibáñez Mexico
María Sánchez Pérez Spain
Julia Aguiar Benin
H. Tanuma Japan
Giovanni Luís Breda Brazil
Antonios Kritikos Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Kevin May

Since Specialization
Citations

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

Fields of papers citing papers by Kevin May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013168
2 201149
3 201146
4 201045
5 201334
6 200221
7 200221
8 200815
9 201615
10
Response to acupuncture treatment in horses with chronic laminitis.
201714
11 20187
12
Acupuncture: Is It Effective for Alleviating Pain in the Horse?
19976
13 20105
14 20184
15 20203
16 20013
17
NCAA Transfer Rules: Restrictions Created to Benefit Division I-A Institutions and Hinder Student-Athletes?
20122
18 20182
19 20152

About Kevin May

Kevin May is a scholar working on Epidemiology, Infectious Diseases, Small Animals, Complementary and alternative medicine and Cognitive Neuroscience, having authored 19 papers that have together received 462 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (11 papers), Tuberculosis Research and Epidemiology (4 papers), Acupuncture Treatment Research Studies (4 papers), Infectious Diseases and Mycology (4 papers), Entrepreneurship Studies and Influences (2 papers), Veterinary Equine Medical Research (2 papers), Complementary and Alternative Medicine Studies (2 papers) and Pain Management and Placebo Effect (2 papers). The work is most often cited by research in Small Animals (138 citations), Epidemiology (353 citations), Infectious Diseases (166 citations), Equine (15 citations) and Microbiology (6 citations). Kevin May has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Frances Jamieson, Theodore K. Marras, Alex Marchand‐Austin, David S. Mendelson, Pamela Chedore, Mohammed Al‐Houqani, George T. Solomon, Vanessa Gail Perry, Christine Y. Turenne and Joyce Wolfe. Their work appears in journals such as Veterinary Clinics of North America Equine Practice, Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology, CHEST Journal and International Entrepreneurship and Management Journal.

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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