Kevin May

633 total citations
19 papers, 454 citations indexed

About

Kevin May is a scholar working on Epidemiology, Infectious Diseases and Small Animals. According to data from OpenAlex, Kevin May has authored 19 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 7 papers in Infectious Diseases and 7 papers in Small Animals. Recurrent topics in Kevin May's work include Mycobacterium research and diagnosis (11 papers), Tuberculosis Research and Epidemiology (7 papers) and Infectious Diseases and Mycology (7 papers). Kevin May is often cited by papers focused on Mycobacterium research and diagnosis (11 papers), Tuberculosis Research and Epidemiology (7 papers) and Infectious Diseases and Mycology (7 papers). Kevin May collaborates with scholars based in Canada, United States and South Korea. Kevin May's 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 and has published in prestigious journals such as CHEST Journal, Journal of Clinical Microbiology and Emerging infectious diseases.

In The Last Decade

Kevin May

19 papers receiving 437 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin May Canada 10 358 265 205 51 35 19 454
Jeana L. Benwill United States 8 464 1.3× 367 1.4× 233 1.1× 92 1.8× 3 0.1× 10 508
Shotaro Ide Japan 8 179 0.5× 180 0.7× 74 0.4× 29 0.6× 2 0.1× 35 288
Javier Santibáñez Mexico 13 284 0.8× 223 0.8× 120 0.6× 5 0.1× 4 0.1× 63 498
Júlia Silveira Vianna Brazil 9 109 0.3× 98 0.4× 68 0.3× 133 2.6× 2 0.1× 21 285
Rebecca Kwait United States 10 207 0.6× 125 0.5× 100 0.5× 40 0.8× 2 0.1× 17 317
Iván Gómez Colombia 10 370 1.0× 315 1.2× 110 0.5× 4 0.1× 4 0.1× 13 403
Yoonwon Kook South Korea 6 276 0.8× 189 0.7× 201 1.0× 40 0.8× 1 0.0× 22 325
Lawrence L. Anderson United States 10 472 1.3× 15 0.1× 78 0.4× 37 0.7× 10 0.3× 18 679
Liv Meert Belgium 5 206 0.6× 227 0.9× 59 0.3× 4 0.1× 4 0.1× 6 260
Tatsuro Hirayama Japan 9 119 0.3× 151 0.6× 17 0.1× 14 0.3× 4 0.1× 42 222

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-authorship network of co-authors of Kevin May

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin May. A scholar is included among the top collaborators of Kevin May based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin May. Kevin May is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Delnatte, Pauline, Kevin May, Jennifer Ma, et al.. (2020). Mycobacteriosis in a Zoo Population of Chinese Gliding Frogs (Rhacophorus dennysi) Due to Mycobacterium marinum. Journal of Herpetological Medicine and Surgery. 30(1). 14–20. 3 indexed citations
2.
May, Kevin, Alex Marchand‐Austin, Adriana Peci, & Frances Jamieson. (2018). A method for improved fluorescent staining for acid fast smear microscopy by incorporating an acetone rinse step. Diagnostic Microbiology and Infectious Disease. 93(4). 329–333. 4 indexed citations
3.
Yoon, Jeewhan, Kevin May, Jae Hyeung Kang, & George T. Solomon. (2018). The impact of emotional self-management on benefit offerings and employment growth: an analysis of the fastest growing businesses in the United States. International Entrepreneurship and Management Journal. 15(1). 175–194. 7 indexed citations
4.
Marras, Theodore K., Kirby Cronin, Alex Marchand‐Austin, et al.. (2018). Sputum smear microscopy predicting mycobacterial culture in Ontario: A population-based laboratory report. Canadian Journal of Respiratory Critical Care and Sleep Medicine. 3(1). 39–42. 1 indexed citations
5.
May, Kevin, et al.. (2017). Response to acupuncture treatment in horses with chronic laminitis.. PubMed. 58(8). 823–827. 13 indexed citations
6.
May, Kevin, et al.. (2016). Acupuncture and Equine Rehabilitation. Veterinary Clinics of North America Equine Practice. 32(1). 73–85. 15 indexed citations
7.
May, Kevin. (2015). Chinese agricultural overseas investment: Trends, policies and CSR. 22(3). 43–74. 2 indexed citations
8.
Marras, Theodore K., David S. Mendelson, Alex Marchand‐Austin, Kevin May, & Frances Jamieson. (2013). Pulmonary Nontuberculous Mycobacterial Disease, Ontario, Canada, 1998–2010. Emerging infectious diseases. 19(11). 1889–91. 166 indexed citations
9.
Solomon, George T., et al.. (2013). Survival of the fittest: Technical assistance, survival and growth of small businesses and implications for public policy. Technovation. 33(8-9). 292–301. 32 indexed citations
10.
May, Kevin & Chad Seifried. (2012). NCAA Transfer Rules: Restrictions Created to Benefit Division I-A Institutions and Hinder Student-Athletes?. 6(3). 159. 2 indexed citations
11.
Al‐Houqani, Mohammed, et al.. (2011). Aging, COPD, and Other Risk Factors Do Not Explain the Increased Prevalence of Pulmonary Mycobacterium avium Complex in Ontario. CHEST Journal. 141(1). 190–197. 46 indexed citations
12.
Al‐Houqani, Mohammed, et al.. (2011). Isolation Prevalence of Pulmonary Nontuberculous Mycobacteria in Ontario in 2007. Canadian Respiratory Journal. 18(1). 19–24. 49 indexed citations
13.
Marras, Theodore K., et al.. (2010). Nontuberculous Mycobacterial Lung Infections in Ontario, Canada: Clinical and Microbiological Characteristics. Lung. 188(4). 289–299. 43 indexed citations
14.
Marras, Theodore K., et al.. (2010). Isolation Prevalence Of Pulmonary Nontuberculous Mycobacteria, Ontario 2008. A2600–A2600. 5 indexed citations
15.
Daley, Peter, Astrid Petrich, Kevin May, et al.. (2008). Comparison of in-house and commercial 16S rRNA sequencing with high-performance liquid chromatography and genotype AS and CM for identification of nontuberculous mycobacteria. Diagnostic Microbiology and Infectious Disease. 61(3). 284–293. 15 indexed citations
16.
Turenne, Christine Y., Pamela Chedore, Joyce Wolfe, et al.. (2002). Phenotypic and Molecular Characterization of Clinical Isolates of Mycobacterium elephantis from Human Specimens. Journal of Clinical Microbiology. 40(4). 1230–1236. 21 indexed citations
17.
Turenne, Christine Y., Pamela Chedore, Joyce Wolfe, et al.. (2002). Mycobacterium lacus sp. nov., a novel slowly growing, non-chromogenic clinical isolate.. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 52(6). 2135–2140. 21 indexed citations
18.
Ross, Christine, et al.. (2001). Frontier Medicine: The Future and Integrative Medicine. Veterinary Clinics of North America Equine Practice. 17(2). 351–377. 3 indexed citations
19.
May, Kevin, et al.. (1997). Acupuncture: Is It Effective for Alleviating Pain in the Horse?. 6 indexed citations

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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