Gabriel Tan

3.4k citations
49 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 · 438 citations
4380+2+5Years since publication100200300400

Peers

Gabriel Tan
Comparison fields: 5 of 132
  • Pharmacology 394
  • Psychiatry and Mental health 288
  • Cognitive Neuroscience 320
  • Cardiology and Cardiovascular Medicine 340
  • Anesthesiology and Pain Medicine 76
Replace John Dixon with:
John Dixon United Kingdom
Henry L. Lew United States
Yannick Tousignant‐Laflamme Canada
Mari Lundberg Sweden
Roeland Lysens Belgium
Jeanine Verbunt Netherlands
Gordon Waddington Australia
B. Hoggart United Kingdom
Elliot J. Roth United States
Christopher C. Peck Australia
Gabriel Tan relative to John Dixon United Kingdom John Dixon's profile →
Citations per field
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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 49 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 →
2018438
2 2010227
3 1996208
4 2009153
5 199885
6 201582
7 200581
8 200974
9 200564
10 201459
11 201150
12 199749
13 199848
14 200645
15 200244
16 200442
17 201836
18 201331
19 200828
20 201624

About Gabriel Tan

Gabriel Tan is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Clinical Psychology and Psychiatry and Mental health, having authored 49 papers that have together received 2.1k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (11 papers), Atrial Fibrillation Management and Outcomes (5 papers), Heart Rate Variability and Autonomic Control (4 papers), Posttraumatic Stress Disorder Research (4 papers), Pain Management and Placebo Effect (4 papers), Topology Optimization in Engineering (3 papers), Neural and Behavioral Psychology Studies (2 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). The work is most often cited by research in Pharmacology (394 citations), Psychiatry and Mental health (288 citations), Cognitive Neuroscience (320 citations), Cardiology and Cardiovascular Medicine (340 citations) and Anesthesiology and Pain Medicine (76 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, Richard Gevirtz, Lorie S. Farmer, Roy John Sutherland, Trilok N. Monga and Karen O. Anderson. Their work appears in journals such as Journal of Pain, Pain Medicine, Computers & Structures, Psychological Services and Clinical 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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