Raymond C. Tait

5.6k citations
84 papers · 4.4k indexed · 2 hit papers · h-index 31
Topics
Musculoskeletal pain and rehabilitation (53 papers)Pain Management and Placebo Effect (13 papers)Pediatric Pain Management Techniques (11 papers)

In The Last Decade

Raymond C. Tait

82 papers receiving 4.2k citations

Hit Papers

The Pain Disability Index: psychometric properties198720262000201319901987250500750

Peers

Raymond C. Tait
Comparison fields: 5 of 127
  • Pharmacology 2.7k
  • Psychiatry and Mental health 1.1k
  • Cognitive Neuroscience 740
  • General Health Professions 737
  • Pathology and Forensic Medicine 592
Replace Katja Boersma with:
Katja Boersma Sweden
Mariëlle E. J. B. Goossens Netherlands
Gareth T. Jones United Kingdom
Albère Köke Netherlands
Denis Martin United Kingdom
Steven J. Kamper Australia
Alessandro Chiarotto Netherlands
Tamar Pincus United Kingdom
Akiko Okifuji United States
Marcus Schiltenwolf Germany
Raymond C. Tait relative to Katja Boersma Sweden Katja Boersma's profile →
Citations per field
00.5×1.5×
Katja Boersma · 1×
Citations per year

Countries citing papers authored by Raymond C. Tait

Since Specialization
Citations

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

Fields of papers citing papers by Raymond C. Tait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond C. Tait. 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 Raymond C. Tait. The network helps show where Raymond C. Tait may publish in the future.

Co-authorship network of co-authors of Raymond C. Tait

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond C. Tait. A scholar is included among the top collaborators of Raymond C. Tait 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 Raymond C. Tait. Raymond C. Tait is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 117
2 15
3 25
4 26
5 11
6 4
7
Effects and Costs of Tracing Strategies on Nonresponse Bias in a Survey of Workers with Low-Back Injury
1
8 38
9 143
10 66
11 66
12 26
13 86
14 97
15 33
16 286
17 1
18 29
19 199
20 50

About Raymond C. Tait

Raymond C. Tait is a scholar working on Pharmacology, Family Practice and Medical Laboratory Technology, having authored 84 papers that have together received 4.4k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (53 papers), Pain Management and Placebo Effect (13 papers) and Pediatric Pain Management Techniques (11 papers). The work is most often cited by research in Pharmacology (2.7k citations), Anesthesiology and Pain Medicine (567 citations) and Psychiatry and Mental health (1.1k citations). Raymond C. Tait has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include John T. Chibnall, Steven J. Krause, Ronald B. Margolis, Paul N. Duckro, C. Alec Pollard, R. B. Margolis, Douglas E. DeGood, Nortin M. Hadler, Donna Kalauokalani and Teresa L. Deshields. Their work appears in journals such as Nature, JAMA and Journal of Clinical Oncology.

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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