Tom May

1.0k citations
32 papers · 591 indexed · h-index 15

Impact in

Papers in

Tom May

30 papers receiving 579 citations

Peers

Tom May
Comparison fields: 5 of 89
  • Applied Psychology 58
  • Clinical Psychology 176
  • Virology 35
  • Life-span and Life-course Studies 6
  • Physical Therapy, Sports Therapy and Rehabilitation 27
Replace Giovanna Da Molin with:
Giovanna Da Molin Italy
Wendy O’Brien Australia
Claire Sullivan United States
Marcin Rzeszutek Poland
Xanthe Hunt South Africa
Raymond Massé Canada
Dieter Kleiber Germany
John Welshman United Kingdom
Cheng Lee Singapore
Venka Simovska Denmark
Tom May relative to Giovanna Da Molin Italy Giovanna Da Molin's profile →
Citations per field
00.5×10×20×30×38×
Giovanna Da Molin · 1×
Citations per year

Countries citing papers authored by Tom May

Since Specialization
Citations

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

Fields of papers citing papers by Tom May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202270
2 201570
3 201267
4 202150
5 201638
6 202130
7 202030
8 201825
9 202323
10 202220
11 201619
12 202017
13 202216
14 202314
15 201614
16 202313
17 202311
18 202211
19 201611
20 202211

About Tom May

Tom May is a scholar working on General Health Professions, Epidemiology, Public Health, Environmental and Occupational Health, Health and Clinical Psychology, having authored 32 papers that have together received 591 indexed citations. Recurring topics across this work include Homelessness and Social Issues (5 papers), Employment and Welfare Studies (5 papers), Children's Physical and Motor Development (4 papers), COVID-19 and Mental Health (4 papers), Opioid Use Disorder Treatment (3 papers), Health disparities and outcomes (3 papers), Substance Abuse Treatment and Outcomes (3 papers) and HIV, Drug Use, Sexual Risk (3 papers). The work is most often cited by research in Applied Psychology (58 citations), Clinical Psychology (176 citations), Virology (35 citations), Life-span and Life-course Studies (6 citations) and Physical Therapy, Sports Therapy and Rehabilitation (27 citations). Tom May has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Daisy Fancourt, Alexandra Burton, Jo Dawes, Alison McKinlay, Mike Collins, Spencer Harris, Katy Holloway, Joanna Kesten, M. J. Edwards and Emma Bird. Their work appears in journals such as BMJ Open, BMC Public Health, International Journal of Drug Policy, Frontiers in Public Health and Psychology of sport and exercise.

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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