E G Peralta

1.5k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

E G Peralta is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, E G Peralta has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in E G Peralta's work include Receptor Mechanisms and Signaling (11 papers), Ion channel regulation and function (7 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). E G Peralta is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Ion channel regulation and function (7 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). E G Peralta collaborates with scholars based in United States, Argentina and France. E G Peralta's co-authors include Avi Ashkenazi, J. Ramachandran, Daniel J. Capon, John Winslow, Douglas H. Smith, Reed C. Carroll, L. Walt Ream, J. Sandmann, Maya T. Kunkel and R. J. Wurtman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

E G Peralta

18 papers receiving 1.3k citations

Hit Papers

Distinct primary structures, ligand-binding properties an... 1987 2026 2000 2013 1987 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E G Peralta United States 13 1.2k 599 147 113 88 19 1.3k
Heiko Rauer United States 15 1.1k 0.9× 405 0.7× 428 2.9× 36 0.3× 87 1.0× 16 1.3k
Emir Duzic United States 18 1.3k 1.1× 619 1.0× 66 0.4× 24 0.2× 136 1.5× 29 1.6k
J S Sanghera Canada 9 1.0k 0.9× 428 0.7× 55 0.4× 75 0.7× 149 1.7× 11 1.5k
Hisayuki Yokokura Japan 12 885 0.8× 234 0.4× 80 0.5× 33 0.3× 167 1.9× 18 1.1k
A.G. Filoteo United States 13 1.2k 1.0× 298 0.5× 243 1.7× 53 0.5× 105 1.2× 14 1.4k
Liaoyuan A. Hu United States 19 1.2k 1.0× 647 1.1× 85 0.6× 28 0.2× 76 0.9× 27 1.5k
Hans H. Schiffer United States 21 726 0.6× 497 0.8× 42 0.3× 21 0.2× 97 1.1× 29 1.1k
Mario Nizzari Italy 20 958 0.8× 352 0.6× 64 0.4× 20 0.2× 376 4.3× 51 1.4k
Charles Gorenstein United States 16 821 0.7× 394 0.7× 16 0.1× 61 0.5× 112 1.3× 30 1.1k
Ju Young Kim United States 10 631 0.5× 432 0.7× 29 0.2× 21 0.2× 73 0.8× 15 1.1k

Countries citing papers authored by E G Peralta

Since Specialization
Citations

This map shows the geographic impact of E 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 E 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 E G Peralta more than expected).

Fields of papers citing papers by E G Peralta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E 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 E G Peralta. The network helps show where E G Peralta may publish in the future.

Co-authorship network of co-authors of E G Peralta

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

All Works

19 of 19 papers shown
1.
Peralta, E G, et al.. (2024). Diversity and structural‐functional insights of alpha‐solenoid proteins. Protein Science. 33(11). e5189–e5189. 3 indexed citations
3.
Sbaraglini, María L., et al.. (2023). Synthesis and Biological Evaluation of New Antiseizure Compounds Derived From Valproic Acid. Future Medicinal Chemistry. 15(9). 735–743. 1 indexed citations
4.
Morielli, Anthony D. & E G Peralta. (1995). Suppression of a potassium channel by G-protein coupled receptors. Life Sciences. 56(11-12). 1035–1035. 1 indexed citations
5.
Kunkel, Maya T. & E G Peralta. (1995). Regulation of an inwardly rectifying potassium channel by the M2 muscarinic acetylcholine receptor. Life Sciences. 56(11-12). 1035–1035. 1 indexed citations
6.
Morielli, Anthony D., et al.. (1994). Molecular basis of cardiac potassium channel stimulation by protein kinase A.. Proceedings of the National Academy of Sciences. 91(2). 624–628. 57 indexed citations
7.
8.
Kunkel, Maya T. & E G Peralta. (1993). Charged amino acids required for signal transduction by the m3 muscarinic acetylcholine receptor.. The EMBO Journal. 12(10). 3809–3815. 57 indexed citations
9.
Dell’Acqua, Mark L., Reed C. Carroll, & E G Peralta. (1993). Transfected m2 muscarinic acetylcholine receptors couple to G alpha i2 and G alpha i3 in Chinese hamster ovary cells. Activation and desensitization of the phospholipase C signaling pathway.. Journal of Biological Chemistry. 268(8). 5676–5685. 81 indexed citations
10.
Janssen, Gary R., et al.. (1992). Agrobacterium tumefaciens transfers extremely long T-DNAs by a unidirectional mechanism. Journal of Bacteriology. 174(7). 2288–2297. 57 indexed citations
11.
Sandmann, J., E G Peralta, & R. J. Wurtman. (1991). Coupling of transfected muscarinic acetylcholine receptor subtypes to phospholipase D.. Journal of Biological Chemistry. 266(10). 6031–6034. 87 indexed citations
12.
Paulmichl, Markus, P E Nasmith, Renate Hellmiss, et al.. (1991). Cloning and expression of a rat cardiac delayed rectifier potassium channel.. Proceedings of the National Academy of Sciences. 88(17). 7892–7895. 64 indexed citations
13.
Ramachandran, J., E G Peralta, Avi Ashkenazi, John Winslow, & Daniel J. Capon. (1989). The structural and functional interrelationships of muscarinic acetylcholine receptor subtypes. BioEssays. 10(2-3). 54–57. 12 indexed citations
14.
Ramachandran, J., et al.. (1989). Structural and functional diversity of muscarinic acetylcholine receptor subtypes.. PubMed. 289. 327–39. 3 indexed citations
15.
Lechleiter, James D., E G Peralta, & David E. Clapham. (1989). Diverse functions of muscarinic acetylcholine receptor subtypes.. PubMed. Suppl. 34–8. 29 indexed citations
16.
Ashkenazi, Avi, E G Peralta, John Winslow, J. Ramachandran, & Daniel J. Capon. (1988). Functional Role of Muscarinic Acetylcholine Receptor Subtype Diversity. Cold Spring Harbor Symposia on Quantitative Biology. 53(0). 263–272. 23 indexed citations
17.
Peralta, E G, John Winslow, Avi Ashkenazi, et al.. (1988). Structural basis of muscarinic acetylcholine receptor subtype diversity.. PubMed. Suppl. 6–11. 27 indexed citations
18.
Peralta, E G, Avi Ashkenazi, John Winslow, et al.. (1987). Distinct primary structures, ligand-binding properties and tissue-specific expression of four human muscarinic acetylcholine receptors.. The EMBO Journal. 6(13). 3923–3929. 664 indexed citations breakdown →
19.
Peralta, E G & L. Walt Ream. (1985). T-DNA border sequences required for crown gall tumorigenesis.. Proceedings of the National Academy of Sciences. 82(15). 5112–5116. 80 indexed citations

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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