Kevin May

19 papers receiving 437 citations

Peers

Kevin May
Comparison fields: 5 of 77
  • Small Animals 205
  • Microbiology 14
  • Infectious Diseases 265
  • Epidemiology 358
  • Equine 15
Replace Richard C. Barton with:
Richard C. Barton United Kingdom
Javier Santibáñez Mexico
Jeana L. Benwill United States
Iván Gómez Colombia
Rebecca Kwait United States
Shotaro Ide Japan
Yoonwon Kook South Korea
Júlia Silveira Vianna Brazil
Julia Aguiar Benin
S. Mathoulin France
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Citations per field
00.5×3.9×
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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 2013166
2 201149
3 201146
4 201043
5 201332
6 200221
7 200221
8 201615
9 200815
10
Response to acupuncture treatment in horses with chronic laminitis.
201713
11 20187
12
Acupuncture: Is It Effective for Alleviating Pain in the Horse?
19976
13 20105
14 20184
15 20013
16 20203
17
NCAA Transfer Rules: Restrictions Created to Benefit Division I-A Institutions and Hinder Student-Athletes?
20122
18 20152
19 20181

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 454 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (11 papers), Tuberculosis Research and Epidemiology (7 papers), Infectious Diseases and Mycology (7 papers), Acupuncture Treatment Research Studies (4 papers), Pain Management and Placebo Effect (2 papers), Complementary and Alternative Medicine Studies (2 papers), Veterinary Equine Medical Research (2 papers) and Entrepreneurship Studies and Influences (2 papers). The work is most often cited by research in Small Animals (205 citations), Microbiology (14 citations), Infectious Diseases (265 citations), Epidemiology (358 citations) and Equine (15 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 Amin Kabani. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Veterinary Clinics of North America Equine Practice, Lung, Technovation 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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