Gabriel Tan

3.3k citations
51 papers · 2.1k · 1 hit paper · h-index 22

Impact in

Papers in

Gabriel Tan

46 papers receiving 2.0k citations

Gabriel Tan's Hit Papers

The validity of pain intensity measures: what do the NRS, VAS, VRS, and FPS-R measure? 2018 · 416 citations
4160+2+5Years since publication100200300400

Peers

Gabriel Tan
Comparison fields: 5 of 138
  • Pharmacology 611
  • Psychiatry and Mental health 443
  • Anesthesiology and Pain Medicine 141
  • Cognitive Neuroscience 423
  • Cardiology and Cardiovascular Medicine 385
Replace John Dixon with:
John Dixon United Kingdom
Yannick Tousignant‐Laflamme Canada
Roeland Lysens Belgium
Henry L. Lew United States
Mari Lundberg Sweden
Luis F. Buenaver United States
Catherine A. Warms United States
B. Hoggart United Kingdom
Filip Struyf Belgium
Sanjit K. Bhogal Canada
Gabriel Tan relative to John Dixon United Kingdom John Dixon's profile →
Citations per field
00.5×1.5×1.8×
John Dixon · 1×
Citations per year

Countries citing papers authored by Gabriel Tan

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The validity of pain intensity measures: what do the NRS, VAS, VRS, and FPS-R measure?
Hit paper breakdown →
2018416
2 2010219
3 1996206
4 2009151
5 199884
6 201582
7 200580
8 200973
9 200564
10 201458
11 201149
12 199749
13 199847
14 200645
15 200244
16 200442
17 201834
18 201331
19 200828
20 201624

About Gabriel Tan

Gabriel Tan is a scholar working on Pharmacology, Cognitive Neuroscience, Psychiatry and Mental health, General Health Professions and Clinical Psychology, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (19 papers), Healthcare professionals’ stress and burnout (6 papers), Pain Management and Placebo Effect (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Posttraumatic Stress Disorder Research (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers) and Pediatric Pain Management Techniques (4 papers). The work is most often cited by research in Pharmacology (611 citations), Psychiatry and Mental health (443 citations), Anesthesiology and Pain Medicine (141 citations), Cognitive Neuroscience (423 citations) and Cardiology and Cardiovascular Medicine (385 citations). Gabriel Tan has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include Mark P. Jensen, Jordi Miró, Margaret Norris, John Thornby, Tam K. Dao, Lorie S. Farmer, Richard Gevirtz, Roy John Sutherland, Trilok N. Monga and Karen O. Anderson. Their work appears in journals such as Pain Medicine, Journal of Pain, Pain, Clinical Journal of Pain and Psychological Services.

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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