Stephen May

95 papers receiving 2.8k citations

Peers

Stephen May
Comparison fields: 5 of 135
  • Pharmacology 1.9k
  • Medical Laboratory Technology 79
  • Orthopedics and Sports Medicine 380
  • Pathology and Forensic Medicine 676
  • Family Practice 77
Replace Joan McMeeken with:
Joan McMeeken Australia
Andrew A. Guccione United States
Paul Beattie United States
Joanne L. Jordan United Kingdom
Chris Littlewood United Kingdom
Rob de Bie Netherlands
Elspeth Finch Canada
Robert Waller United States
Matti Mäkelä Finland
Les Barnsley Australia
Stephen May relative to Joan McMeeken Australia Joan McMeeken's profile →
Citations per field
00.5×1.5×2.2×
Joan McMeeken · 1×
Citations per year

Countries citing papers authored by Stephen May

Since Specialization
Citations

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

Fields of papers citing papers by Stephen May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202023
2 20185
3 201810
4 20166
5 201327
6 201263
7 201220
8 201212
9 201080
10 201017
11 2010163
12 20097
13 200925
14 200920
15 20091
16 20076
17 2006115
18 200633
19 200621
20 200539

About Stephen May

Stephen May is a scholar working on Pharmacology, Pathology and Forensic Medicine, Family Practice, Orthopedics and Sports Medicine and Issues, ethics and legal aspects, having authored 96 papers that have together received 3.0k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (65 papers), Spine and Intervertebral Disc Pathology (26 papers), Shoulder Injury and Treatment (20 papers), Orthopedic Surgery and Rehabilitation (15 papers), Myofascial pain diagnosis and treatment (10 papers), Sports injuries and prevention (8 papers), Cardiovascular Syncope and Autonomic Disorders (7 papers) and Clinical practice guidelines implementation (7 papers). The work is most often cited by research in Pharmacology (1.9k citations), Medical Laboratory Technology (79 citations), Orthopedics and Sports Medicine (380 citations), Pathology and Forensic Medicine (676 citations) and Family Practice (77 citations). Stephen May has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include Chris Littlewood, Alessandro Aina, Stephen J. Walters, Eric Gardiner, Kenneth Chance-Larsen, Benjamin Smith, Helen Clare, Sionnadh McLean, Jennifer Klaber-Moffett and Sue Mawson. Their work appears in journals such as Physiotherapy, Journal of Manual & Manipulative Therapy, Physiotherapy Research International, Journal of Manipulative and Physiological Therapeutics and British Journal of Haematology.

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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