Ernest G. Peralta
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Cell Biology top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Avi AshkenaziJ. RamachandranJohn WinslowDaniel J. CaponDavid E. ClaphamSteven GirardJames D. LechleiterAnthony D. Morielli
- Topics
- Receptor Mechanisms and Signaling (13 papers)Ion channel regulation and function (12 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)
- Partner nations
- United StatesAustria
In The Last Decade
Ernest G. Peralta
23 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 3.2k
- Cellular and Molecular Neuroscience 1.6k
- Cardiology and Cardiovascular Medicine 406
- Cell Biology 355
- Computer Networks and Communications 298
Countries citing papers authored by Ernest G. Peralta
This map shows the geographic impact of Ernest G. Peralta'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 Ernest G. Peralta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ernest G. Peralta more than expected).
Fields of papers citing papers by Ernest G. Peralta
This network shows the impact of papers produced by Ernest G. Peralta. 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 Ernest G. Peralta. The network helps show where Ernest G. Peralta may publish in the future.
Co-authorship network of co-authors of Ernest G. Peralta
This figure shows the co-authorship network connecting the top 25 collaborators of Ernest G. Peralta. A scholar is included among the top collaborators of Ernest G. Peralta 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 Ernest G. Peralta. Ernest G. Peralta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 81 | |
| 2 | 54 | |
| 3 | 6 | |
| 4 | 139 | |
| 5 | 42 | |
| 6 | 89 | |
| 7 | 92 | |
| 8 | 306 | |
| 9 | 23 | |
| 10 | 7 | |
| 11 | 129 | |
| 12 | 277 | |
| 13 | 204 | |
| 14 | 273 | |
| 15 | 145 | |
| 16 | 228 | |
| 17 | Differential regulation of PI hydrolysis and adenylyl cyclase by muscarinic receptor subtypesbreakdown → | 594 |
| 18 | 448 | |
| 19 | 107 | |
| 20 | 11 |
About Ernest G. Peralta
Ernest G. Peralta is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 23 papers that have together received 4.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Ion channel regulation and function (12 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Molecular Biology (3.2k citations) and Physiology (147 citations). Ernest G. Peralta has collaborated with scholars based in United States and Austria. Frequent co-authors include Avi Ashkenazi, J. Ramachandran, John Winslow, Daniel J. Capon, David E. Clapham, Steven Girard, James D. Lechleiter, Anthony D. Morielli, Gary L. Peterson and Michael I. Schimerlik. Their work appears in journals such as Nature, Science and Cell.
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.