Gabriel Tan

3.3k total citations · 1 hit paper
51 papers, 2.1k citations indexed

About

Gabriel Tan is a scholar working on Pharmacology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Gabriel Tan has authored 51 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pharmacology, 10 papers in Cognitive Neuroscience and 10 papers in Psychiatry and Mental health. Recurrent topics in Gabriel Tan's work include Musculoskeletal pain and rehabilitation (19 papers), Pain Management and Placebo Effect (6 papers) and Healthcare professionals’ stress and burnout (6 papers). Gabriel Tan is often cited by papers focused on Musculoskeletal pain and rehabilitation (19 papers), Pain Management and Placebo Effect (6 papers) and Healthcare professionals’ stress and burnout (6 papers). Gabriel Tan collaborates with scholars based in United States, Singapore and Australia. Gabriel Tan's co-authors include Mark P. Jensen, Jordi Miró, Margaret Norris, John Thornby, Tam K. Dao, Lorie S. Farmer, Richard Gevirtz, Roy John Sutherland, Karen O. Anderson and Trilok N. Monga and has published in prestigious journals such as Pain, Archives of Physical Medicine and Rehabilitation and Medicine.

In The Last Decade

Gabriel Tan

46 papers receiving 2.0k citations

Hit Papers

The validity of pain intensity measures: what do the NRS,... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The validity of pain intensity measures: what do the NRS, VAS, VRS, and FPS-R measure?
    2018 416 citations Mark P. Jensen, Jordi Miró et al. Scandinavian Journal of Pain profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gabriel Tan United States 22 611 443 423 385 329 51 2.1k
Henry L. Lew United States 42 513 0.8× 495 1.1× 757 1.8× 137 0.4× 596 1.8× 136 5.4k
Mari Lundberg Sweden 29 1.2k 2.0× 560 1.3× 272 0.6× 361 0.9× 169 0.5× 77 2.8k
Yannick Tousignant‐Laflamme Canada 20 1.0k 1.7× 384 0.9× 402 1.0× 189 0.5× 106 0.3× 92 2.2k
Marco Testa Italy 30 1.0k 1.7× 554 1.3× 570 1.3× 430 1.1× 102 0.3× 177 3.1k
Ingrid van de Port Netherlands 39 433 0.7× 1.4k 3.2× 258 0.6× 516 1.3× 172 0.5× 92 4.4k
Alexandra Ferreira-Valente Portugal 13 733 1.2× 385 0.9× 204 0.5× 59 0.2× 192 0.6× 47 1.9k
Anne M. Boonstra Netherlands 20 864 1.4× 487 1.1× 251 0.6× 68 0.2× 154 0.5× 33 2.3k
Jessica M. Ketchum United States 35 803 1.3× 359 0.8× 191 0.5× 62 0.2× 323 1.0× 131 3.5k
Catherine A. Warms United States 20 599 1.0× 376 0.8× 172 0.4× 63 0.2× 193 0.6× 24 1.9k
John Dixon United Kingdom 34 538 0.9× 394 0.9× 229 0.5× 309 0.8× 209 0.6× 91 4.1k

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-authorship network of co-authors of Gabriel Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Tan. A scholar is included among the top collaborators of Gabriel Tan 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 Gabriel Tan. Gabriel Tan 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
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Jensen, Mark P., et al.. (2018). The validity of pain intensity measures: what do the NRS, VAS, VRS, and FPS-R measure?. Scandinavian Journal of Pain. 18(1). 99–107. 416 indexed citations breakdown →
5.
Walters, Tomos E., Gabriel Tan, Stephen Joseph, et al.. (2018). Psychological Distress and Suicidal Ideation in Patients With Atrial Fibrillation: Prevalence and Response to Management Strategy. Journal of the American Heart Association. 7(18). e005502–e005502. 34 indexed citations
6.
Tan, Gabriel, et al.. (2016). The buffering role of positive affect on the association between pain intensity and pain related outcomes. Scandinavian Journal of Pain. 14(1). 91–97. 24 indexed citations
7.
Ho, Cyrus S. H., et al.. (2016). Profile differences between overdose and non-overdose suicide attempts in a multi-ethnic Asian society. BMC Psychiatry. 16(1). 379–379. 15 indexed citations
8.
Jensen, Mark P., et al.. (2015). Pain Intensity, Headache Frequency, and the Behavioral Activation and Inhibition Systems. Clinical Journal of Pain. 31(12). 1068–1074. 22 indexed citations
9.
Walters, Tomos E., Ashley Nisbet, Gwilym M. Morris, et al.. (2015). Progression of atrial remodeling in patients with high-burden atrial fibrillation: Implications for early ablative intervention. Heart Rhythm. 13(2). 331–339. 82 indexed citations
10.
Lang, Elvira V., Gabriel Tan, Ido Amihai, & Mark P. Jensen. (2014). Analyzing acute procedural pain in clinical trials. Pain. 155(7). 1365–1373. 13 indexed citations
11.
Tan, Gabriel, Irene Teo, Karen O. Anderson, & Mark P. Jensen. (2011). Adaptive Versus Maladaptive Coping and Beliefs and Their Relation to Chronic Pain Adjustment. Clinical Journal of Pain. 27(9). 769–774. 49 indexed citations
12.
Tan, Gabriel, Tam K. Dao, Lorie S. Farmer, Roy John Sutherland, & Richard Gevirtz. (2010). Heart Rate Variability (HRV) and Posttraumatic Stress Disorder (PTSD): A Pilot Study. Applied Psychophysiology and Biofeedback. 36(1). 27–35. 219 indexed citations
13.
Tan, Gabriel, Brandi C. Fink, Tam K. Dao, et al.. (2009). Associations among Pain, PTSD, mTBI, and Heart Rate Variability in Veterans of Operation Enduring and Iraqi Freedom: A Pilot Study. Pain Medicine. 10(7). 1237–1245. 73 indexed citations
14.
Tan, Gabriel, et al.. (2006). Validating the Use of Two-Item Measures of Pain Beliefs and Coping Strategies for a Veteran Population. Journal of Pain. 7(4). 252–260. 45 indexed citations
15.
Tan, Gabriel, Mark P. Jensen, John Thornby, & Karen O. Anderson. (2005). Ethnicity, Control Appraisal, Coping, and Adjustment to Chronic Pain Among Black and White Americans. Pain Medicine. 6(1). 18–28. 80 indexed citations
16.
Dickson, Robert M., et al.. (2004). Poster Presentation Abstracts. Journal of Neurotherapy. 8(2). 119–129. 7 indexed citations
17.
Tan, Gabriel, et al.. (2004). Further validation of the chronic pain coping inventory. Journal of Pain. 6(1). 29–40. 42 indexed citations
18.
Tan, Gabriel, Mark P. Jensen, Susan Robinson‐Whelen, John I. Thornby, & Trilok N. Monga. (2002). Measuring control appraisals in chronic pain. Journal of Pain. 3(5). 385–393. 44 indexed citations
19.
Monga, Trilok N., et al.. (1998). Sexuality and sexual adjustment of patients with chronic pain. Disability and Rehabilitation. 20(9). 317–329. 84 indexed citations
20.
Gupta, Nikita, V. Thevendran, & Gabriel Tan. (1970). Optimal Design Of Reinforced Concrete Frames. WIT transactions on the built environment. 2. 8 indexed citations

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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