George L. Wilcox
- Physiology top 0.1%
- Cellular and Molecular Neuroscience top 0.1%
- Molecular Biology top 2%
- Surgery top 2%
- Pharmacology top 0.5%
- Co-authors
- Janice L.K. HyldenCarolyn A. FairbanksLinda M. AanonsenKelley F. KittoLaura S. StoneJane E. HaleyTinna M. LaughlinPaul F. Chapman
- Topics
- Pain Mechanisms and Treatments (108 papers)Neuropeptides and Animal Physiology (59 papers)Neuroscience and Neuropharmacology Research (30 papers)
- Partner nations
- United StatesCanadaNew Zealand
In The Last Decade
George L. Wilcox
167 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Physiology 7.8k
- Cellular and Molecular Neuroscience 6.2k
- Molecular Biology 3.8k
- Surgery 1.2k
- Pharmacology 1.1k
Countries citing papers authored by George L. Wilcox
This map shows the geographic impact of George L. Wilcox'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 George L. Wilcox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George L. Wilcox more than expected).
Fields of papers citing papers by George L. Wilcox
This network shows the impact of papers produced by George L. Wilcox. 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 George L. Wilcox. The network helps show where George L. Wilcox may publish in the future.
Co-authorship network of co-authors of George L. Wilcox
This figure shows the co-authorship network connecting the top 25 collaborators of George L. Wilcox. A scholar is included among the top collaborators of George L. Wilcox 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 George L. Wilcox. George L. Wilcox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 52 | |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 52 | |
| 11 | 69 | |
| 12 | 72 | |
| 13 | 178 | |
| 14 | 168 | |
| 15 | 81 | |
| 16 | 8 | |
| 17 | Prediction of protein tertiary structure from sequences using a very large back-propagation neural network | 1 |
| 18 | Sources and cellular targets for peripherally acting analgesics mediated by G protein-coupled receptors | 1 |
| 19 | ABA antinociception in the mouse spinal cord II: GABAA receptors and excitatory amino acids | 1 |
| 20 | 199 |
About George L. Wilcox
George L. Wilcox is a scholar working on Cellular and Molecular Neuroscience, Physiology and Anesthesiology and Pain Medicine, having authored 170 papers that have together received 11.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (108 papers), Neuropeptides and Animal Physiology (59 papers) and Neuroscience and Neuropharmacology Research (30 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.2k citations), Physiology (7.8k citations) and Anesthesiology and Pain Medicine (892 citations). George L. Wilcox has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Janice L.K. Hylden, Carolyn A. Fairbanks, Linda M. Aanonsen, Kelley F. Kitto, Laura S. Stone, Jane E. Haley, Tinna M. Laughlin, Paul F. Chapman, Alvin J. Beitz and J. Fialip. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.
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.