John J. May

120 papers receiving 2.8k citations

Peers

John J. May
Comparison fields: 5 of 163
  • Radiological and Ultrasound Technology 480
  • Speech and Hearing 362
  • Sensory Systems 207
  • Health, Toxicology and Mutagenesis 535
  • Automotive Engineering 407
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Paul Whitten United States
Vivi Schlünssen Denmark
Katja Radon Germany
Andreas Seidler Germany
Stephen J. Reynolds United States
Gunilla Wieslander Sweden
Brigitta Danuser Switzerland
Craig Zwerling United States
Risto Rautiainen United States
Nancy L. Sprince United States
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Citations per field
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Citations per year

Countries citing papers authored by John J. May

Since Specialization
Citations

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

Fields of papers citing papers by John J. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994232
2 1999139
3 2002108
4 1990108
5 1992102
6 2005100
7 2014100
8 200185
9 200070
10 201269
11 201468
12 201467
13 200165
14 198660
15 199154
16 200551
17 200147
18 200346
19 201045
20 199045

About John J. May

John J. May is a scholar working on Plant Science, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Radiological and Ultrasound Technology and General Health Professions, having authored 124 papers that have together received 3.0k indexed citations. Recurring topics across this work include Agriculture and Farm Safety (53 papers), Occupational Health and Safety Research (18 papers), Air Quality and Health Impacts (15 papers), Indoor Air Quality and Microbial Exposure (14 papers), Injury Epidemiology and Prevention (12 papers), Vehicle emissions and performance (11 papers), Vector-Borne Animal Diseases (8 papers) and Musculoskeletal pain and rehabilitation (7 papers). The work is most often cited by research in Radiological and Ultrasound Technology (480 citations), Speech and Hearing (362 citations), Sensory Systems (207 citations), Health, Toxicology and Mutagenesis (535 citations) and Automotive Engineering (407 citations). John J. May has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Paul Jenkins, David S. Pratt, George C. Enders, Giulia Earle‐Richardson, Dirk Bosteels, Cécile Favre, Alice D. Stark, Marta I. Gómez, Syni‐An Hwang and Eric M. Hallman. Their work appears in journals such as American Journal of Industrial Medicine, Journal of Agricultural Safety and Health, SAE technical papers on CD-ROM/SAE technical paper series, CHEST Journal and American Journal of Public Health.

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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