Tamara E. King

6.0k citations
90 papers · 5.0k · h-index 39

Impact in

Papers in

Tamara E. King

89 papers receiving 4.9k citations

Peers

Tamara E. King
Comparison fields: 5 of 119
  • Physiology 3.0k
  • Behavioral Neuroscience 290
  • Anesthesiology and Pain Medicine 429
  • Cellular and Molecular Neuroscience 1.5k
  • Sensory Systems 249
Replace Donna L. Hammond with:
Donna L. Hammond United States
Alban Latrémolière United States
Isabelle Décosterd Switzerland
Bradley Kenneth Taylor United States
Edita Navratilova United States
Hiroshi Baba Japan
Linda S. Sorkin United States
Fernando Cerveró United Kingdom
Jennifer M. A. Laird Spain
Megumu Yoshimura Japan
Tamara E. King relative to Donna L. Hammond United States Donna L. Hammond's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tamara E. King

Since Specialization
Citations

This map shows the geographic impact of Tamara E. 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 E. 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 E. King more than expected).

Fields of papers citing papers by Tamara E. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009471
2 2012262
3 2005223
4 2004205
5 2011187
6 2011180
7 2009177
8 2005152
9 2005145
10 2019125
11 2006118
12 2012116
13 2013112
14 2006103
15 200698
16 200797
17 201186
18 201186
19 200585
20 201582

About Tamara E. King

Tamara E. King is a scholar working on Physiology, Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine, Behavioral Neuroscience and Pharmacology, having authored 90 papers that have together received 5.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (57 papers), Neuropeptides and Animal Physiology (17 papers), Pain Management and Placebo Effect (10 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Musculoskeletal pain and rehabilitation (7 papers), Neuroendocrine regulation and behavior (6 papers), Pain Management and Opioid Use (6 papers) and Stress Responses and Cortisol (6 papers). The work is most often cited by research in Physiology (3.0k citations), Behavioral Neuroscience (290 citations), Anesthesiology and Pain Medicine (429 citations), Cellular and Molecular Neuroscience (1.5k citations) and Sensory Systems (249 citations). Tamara E. King has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Frank Porreca, Michael H. Ossipov, Josephine Y. Lai, Todd W. Vanderah, Frank Porreca, Louis P. Vera–Portocarrero, Howard L. Fields, Alec Okun, Jennifer Yanhua Xie and Gregory O. Dussor. Their work appears in journals such as Pain, Journal of Pain, Behavioral Neuroscience, Psychopharmacology and Proceedings of the National Academy of Sciences.

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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