Tamara King

5.9k citations
86 papers · 4.7k indexed · h-index 38
Topics
Pain Mechanisms and Treatments (61 papers)Neuropeptides and Animal Physiology (20 papers)Musculoskeletal pain and rehabilitation (11 papers)

In The Last Decade

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
  • Pharmacology 896
  • Molecular Biology 871
  • Cognitive Neuroscience 750
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-authorship network of co-authors of Tamara King

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara King. A scholar is included among the top collaborators of Tamara King 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 Tamara King. Tamara King 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
#WorkIndexed citations
1 1
2 10
3
A Novel Mechanism for Zika Virus Host-Cell Binding
1
4 16
5 11
6 15
7 76
8 8
9 31
10 26
11 180
12 7
13 78
14 34
15 201
16 146
17 13
18 26
19 42
20 34

About Tamara King

Tamara King is a scholar working on Physiology, Behavioral Neuroscience and Cellular and Molecular Neuroscience, 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) and Musculoskeletal pain and rehabilitation (11 papers). The work is most often cited by research in Physiology (3.2k citations), Cellular and Molecular Neuroscience (1.7k citations) and Behavioral Neuroscience (310 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 Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

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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