Tasha R. Stanton

6.8k total citations · 1 hit paper
117 papers, 4.7k citations indexed

About

Tasha R. Stanton is a scholar working on Pharmacology, Cognitive Neuroscience and Anesthesiology and Pain Medicine. According to data from OpenAlex, Tasha R. Stanton has authored 117 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Pharmacology, 30 papers in Cognitive Neuroscience and 23 papers in Anesthesiology and Pain Medicine. Recurrent topics in Tasha R. Stanton's work include Musculoskeletal pain and rehabilitation (77 papers), Pain Management and Treatment (21 papers) and Pain Management and Placebo Effect (20 papers). Tasha R. Stanton is often cited by papers focused on Musculoskeletal pain and rehabilitation (77 papers), Pain Management and Treatment (21 papers) and Pain Management and Placebo Effect (20 papers). Tasha R. Stanton collaborates with scholars based in Australia, United Kingdom and United States. Tasha R. Stanton's co-authors include G. Lorimer Moseley, Christopher G. Maher, Jane Latimer, Luciana Macedo, James H. McAuley, Mark J. Hancock, Abby Tabor, David J. Magee, Susan Armijo Olivo and Jorge Fuentes and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tasha R. Stanton

111 papers receiving 4.6k citations

Hit Papers

Scales to Assess the Quality of Randomized Controlled Tri... 2007 2026 2013 2019 2007 200 400 600

Peers

Tasha R. Stanton
Comparison fields: 5 of 147
  • Pharmacology 2.8k
  • Anesthesiology and Pain Medicine 886
  • Cognitive Neuroscience 885
  • Physiology 870
  • Psychiatry and Mental health 740
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Citations per field, relative to Tasha R. Stanton
Tasha R. Stanton · 1×
Citations per year, relative to Tasha R. Stanton
Tasha R. Stanton · 1×

Countries citing papers authored by Tasha R. Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Tasha R. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tasha R. Stanton

This figure shows the co-authorship network connecting the top 25 collaborators of Tasha R. Stanton. A scholar is included among the top collaborators of Tasha R. Stanton 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 Tasha R. Stanton. Tasha R. Stanton 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
# Work Indexed citations
1 0
2 3
3 1
4 0
5 2
6 4
7 5
8 4
9 5
10 1
11 3
12 3
13 2
14 11
15 2
16 4
17 4
18 5
19 35
20 233

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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