Tamara King

5.9k citations
86 papers · 4.7k · h-index 38

Impact in

Papers in

Tamara King

86 papers receiving 4.6k citations

Peers

Tamara King
Comparison fields: 5 of 117
  • Physiology 3.2k
  • Cellular and Molecular Neuroscience 1.7k
  • Behavioral Neuroscience 310
  • Anesthesiology and Pain Medicine 484
  • Sensory Systems 297
Replace David C. Yeomans with:
David C. Yeomans United States
Linda S. Sorkin United States
Isabelle Décosterd Switzerland
Bradley K. Taylor United States
Simon Beggs Canada
Donna L. Hammond United States
Jennifer M.A. Laird Spain
Edita Navratilova United States
Joachim Scholz United States
Alban Latrémolière United States
Tamara King relative to David C. Yeomans United States David C. Yeomans's profile →
Citations per field
00.5×
David C. Yeomans · 1×
Citations per year

Countries citing papers authored by Tamara King

Since Specialization
Citations

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

Fields of papers citing papers by Tamara King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009435
2 2012249
3 2005201
4 2004191
5 2011180
6 2011170
7 2009168
8 2005146
9 2005124
10 2006112
11 2019111
12 2012108
13 2013105
14 200692
15 200688
16 200787
17 201580
18 201180
19 201180
20 201179

About Tamara King

Tamara King is a scholar working on Physiology, Cellular and Molecular Neuroscience, Pharmacology, Cognitive Neuroscience and Anesthesiology and Pain Medicine, having authored 86 papers that have together received 4.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (61 papers), Neuropeptides and Animal Physiology (20 papers), Musculoskeletal pain and rehabilitation (11 papers), Pain Management and Placebo Effect (10 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Pain Management and Opioid Use (8 papers), Stress Responses and Cortisol (7 papers) and Neuroendocrine regulation and behavior (7 papers). The work is most often cited by research in Physiology (3.2k citations), Cellular and Molecular Neuroscience (1.7k citations), Behavioral Neuroscience (310 citations), Anesthesiology and Pain Medicine (484 citations) and Sensory Systems (297 citations). Tamara King has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Frank Porreca, Michael H. Ossipov, Josephine Lai, Todd W. Vanderah, Frank Porreca, Louis P. Vera–Portocarrero, Howard L. Fields, Alec Okun, Jennifer Y. Xie and James W. Grau. Their work appears in journals such as Pain, Journal of Pain, Behavioral Neuroscience, Psychopharmacology and Journal of Bone and Mineral Research.

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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