Kelly A. Eddinger

769 citations
16 papers · 530 indexed · h-index 11
Topics
Pain Mechanisms and Treatments (13 papers)Neuropeptides and Animal Physiology (7 papers)Botulinum Toxin and Related Neurological Disorders (3 papers)
Partner nations
United StatesJapanMexico

In The Last Decade

Kelly A. Eddinger

16 papers receiving 525 citations

Peers

Kelly A. Eddinger
Comparison fields: 5 of 71
  • Physiology 290
  • Molecular Biology 153
  • Cellular and Molecular Neuroscience 148
  • Pharmacology 71
  • Neurology 67
Replace Natalie M. Wilson with:
Natalie M. Wilson United States
Christian Njoo Germany
Jiangang Xie China
Timothy K. Y. Kaan United Kingdom
Kai‐Feng Shen China
Da-Lu Liu China
Thomas A. Szabo-Pardi United States
Ramin Raoof Netherlands
Wai Lydia Tai Hong Kong
Tabi A. Leslie United Kingdom
Kelly A. Eddinger relative to Natalie M. Wilson United States Natalie M. Wilson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kelly A. Eddinger

Since Specialization
Citations

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

Fields of papers citing papers by Kelly A. Eddinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelly A. Eddinger. 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 Kelly A. Eddinger. The network helps show where Kelly A. Eddinger may publish in the future.

Co-authorship network of co-authors of Kelly A. Eddinger

This figure shows the co-authorship network connecting the top 25 collaborators of Kelly A. Eddinger. A scholar is included among the top collaborators of Kelly A. Eddinger 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 Kelly A. Eddinger. Kelly A. Eddinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 4
3 89
4 20
5 4
6 10
7 20
8 3
9 44
10 9
11 93
12 24
13 63
14 11
15 94
16 41

About Kelly A. Eddinger

Kelly A. Eddinger is a scholar working on Cellular and Molecular Neuroscience, Physiology and Anesthesiology and Pain Medicine, having authored 16 papers that have together received 530 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (13 papers), Neuropeptides and Animal Physiology (7 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). The work is most often cited by research in Physiology (290 citations), Behavioral Neuroscience (32 citations) and Cellular and Molecular Neuroscience (148 citations). Kelly A. Eddinger has collaborated with scholars based in United States, Japan and Mexico. Frequent co-authors include Tony L. Yaksh, Maripat Corr, Jennifer A. Stokes, Matthew W. Buczynski, Ann M. Gregus, Sarah A. Woller, Linda S. Sorkin, Joanne Steinauer, Veronica I. Shubayev and Qinghao Xu. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports and Pain.

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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