Peter J. Gengo

28 total papers · 1.0k total citations
23 papers, 833 citations indexed

About

Peter J. Gengo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Peter J. Gengo has authored 23 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Peter J. Gengo's work include Ion channel regulation and function (11 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Receptor Mechanisms and Signaling (6 papers). Peter J. Gengo is often cited by papers focused on Ion channel regulation and function (11 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Receptor Mechanisms and Signaling (6 papers). Peter J. Gengo collaborates with scholars based in United States and France. Peter J. Gengo's co-authors include Ronald A. Janis, Gordon T. Bolger, E. Luchowski, David J. Triggle, D. J. Triggle, A. M. Triggle, Harold I. Siegel, John F. Moran, Samuel Gallant and M. Hawthorn and has published in prestigious journals such as Circulation, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

In The Last Decade

Peter J. Gengo

23 papers receiving 757 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter J. Gengo 571 338 283 124 79 23 833
D. Cambridge 394 0.7× 260 0.8× 153 0.5× 249 2.0× 121 1.5× 28 873
R Hahn 426 0.7× 377 1.1× 170 0.6× 198 1.6× 88 1.1× 44 963
Ravi B. Marala 475 0.8× 176 0.5× 257 0.9× 95 0.8× 107 1.4× 17 788
Michael DePasquale 391 0.7× 343 1.0× 153 0.5× 102 0.8× 35 0.4× 32 1.0k
N B Shepperson 560 1.0× 464 1.4× 207 0.7× 284 2.3× 37 0.5× 36 992
Alan S. Fairhurst 664 1.2× 383 1.1× 179 0.6× 122 1.0× 41 0.5× 27 957
James S. Polakowski 405 0.7× 147 0.4× 172 0.6× 134 1.1× 110 1.4× 39 899
Kjetil Wessel Andressen 505 0.9× 332 1.0× 175 0.6× 69 0.6× 53 0.7× 38 766
Yvonne Vulliemoz 444 0.8× 242 0.7× 210 0.7× 259 2.1× 46 0.6× 52 1.0k
J R Keddie 339 0.6× 154 0.5× 214 0.8× 126 1.0× 78 1.0× 20 837

Countries citing papers authored by Peter J. Gengo

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Gengo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Gengo. 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 Peter J. Gengo. The network helps show where Peter J. Gengo may publish in the future.

Co-authorship network of co-authors of Peter J. Gengo

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

All Works

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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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