T. Stanton

117 papers receiving 4.9k citations

T. Stanton's Hit Papers

Scales to Assess the Quality of Randomized Controlled Trials: A Systematic Review 2007 · 686 citations
6860+6+12Years since publication200400600

Peers

T. Stanton
Comparison fields: 5 of 140
  • Anesthesiology and Pain Medicine 802
  • Pharmacology 2.0k
  • Cognitive Neuroscience 616
  • Psychiatry and Mental health 420
  • Rehabilitation 167
Replace Denis Martin with:
Denis Martin United Kingdom
Candy McCabe United Kingdom
Rob Smeets Netherlands
Antonia Barke Germany
Masahiko Sumitani Japan
Michael E. Geisser United States
Deirdre M. J. Walsh United Kingdom
O.H.G. Wilder‐Smith Netherlands
James Walter Middleton Australia
Zina Trost United States
T. Stanton relative to Denis Martin United Kingdom Denis Martin's profile →
Citations per field
00.5×1.7×
Denis Martin · 1×
Citations per year

Countries citing papers authored by T. Stanton

Since Specialization
Citations

This map shows the geographic impact of T. Stanton'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 T. Stanton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Stanton more than expected).

Fields of papers citing papers by T. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Scales to Assess the Quality of Randomized Controlled Trials: A Systematic Review
Hit paper breakdown →
2007686
2 2013288
3 2012262
4 2014242
5 2012188
6 2008182
7 2011180
8 2015169
9 2013154
10 2013150
11 2010132
12 2020126
13 2009103
14 2016101
15 201198
16 201388
17 200984
18 201581
19 202280
20 201078

About T. Stanton

T. Stanton is a scholar working on Pharmacology, Anesthesiology and Pain Medicine, Cognitive Neuroscience, Human-Computer Interaction and Psychiatry and Mental health, having authored 125 papers that have together received 5.1k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (54 papers), Pain Management and Treatment (16 papers), Pain Management and Placebo Effect (13 papers), Virtual Reality Applications and Impacts (10 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers), Pain Mechanisms and Treatments (7 papers), Sport Psychology and Performance (6 papers) and Spine and Intervertebral Disc Pathology (6 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (802 citations), Pharmacology (2.0k citations), Cognitive Neuroscience (616 citations), Psychiatry and Mental health (420 citations) and Rehabilitation (167 citations). T. Stanton has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include G. Lorimer Moseley, Christopher Gerard Maher, Jane Latimer, James Henry McAuley, Luciana Gazzi Macedo, Abby Tabor, Mark Jonathan Hancock, Susan Armijo Olivo, David J. Magee and Jorge Fuentes. Their work appears in journals such as Journal of Pain, Pain, Physical Therapy, PeerJ and European Journal of Pain.

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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