William P. Melega
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 10%
- Neurology top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- Goran LaćanArthur K. ChoRonald KuczenskiDavid S. SegalMichael E. PhelpsDennis C. HarveyAndrew K. GrovesB Wold
- Topics
- Neurotransmitter Receptor Influence on Behavior (28 papers)Neuroscience and Neuropharmacology Research (27 papers)Medical Imaging Techniques and Applications (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Neuroscience
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
William P. Melega
76 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 138
- Cellular and Molecular Neuroscience 1.9k
- Molecular Biology 1.1k
- Neurology 685
- Radiology, Nuclear Medicine and Imaging 616
- Cognitive Neuroscience 380
Countries citing papers authored by William P. Melega
This map shows the geographic impact of William P. Melega'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 William P. Melega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William P. Melega more than expected).
Fields of papers citing papers by William P. Melega
This network shows the impact of papers produced by William P. Melega. 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 William P. Melega. The network helps show where William P. Melega may publish in the future.
Co-authorship network of co-authors of William P. Melega
This figure shows the co-authorship network connecting the top 25 collaborators of William P. Melega. A scholar is included among the top collaborators of William P. Melega 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 William P. Melega. William P. Melega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 309 | |
| 2 | 54 | |
| 3 | 7 | |
| 4 | 32 | |
| 5 | 45 | |
| 6 | Influence of P-glycoprotein on the tissue distribution in rats of the 5-HT1A antagonist p-[18F]MPPF. | 1 |
| 7 | 17 | |
| 8 | 24 | |
| 9 | 127 | |
| 10 | 95 | |
| 11 | 48 | |
| 12 | 122 | |
| 13 | 35 | |
| 14 | 42 | |
| 15 | 25 | |
| 16 | 22 | |
| 17 | 20 | |
| 18 | 142 | |
| 19 | 87 | |
| 20 | 52 |
About William P. Melega
William P. Melega is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Neurology, having authored 77 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (28 papers), Neuroscience and Neuropharmacology Research (27 papers) and Medical Imaging Techniques and Applications (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Toxicology (334 citations) and Neurology (685 citations). William P. Melega has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Goran Laćan, Arthur K. Cho, Ronald Kuczenski, David S. Segal, Michael E. Phelps, Dennis C. Harvey, Andrew K. Groves, B Wold, Marie Csete and Bruce D. Howard. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of 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.