David N. Mashburn

21 total papers · 583 total citations
13 papers, 426 citations indexed

About

David N. Mashburn is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, David N. Mashburn has authored 13 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cell Biology. Recurrent topics in David N. Mashburn's work include Cardiac electrophysiology and arrhythmias (5 papers), Neuroscience and Neural Engineering (5 papers) and Cellular Mechanics and Interactions (3 papers). David N. Mashburn is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Neuroscience and Neural Engineering (5 papers) and Cellular Mechanics and Interactions (3 papers). David N. Mashburn collaborates with scholars based in United States and Canada. David N. Mashburn's co-authors include Philip C. Watkins, L. Rebecca Propst, M. Shane Hutson, G. Wayne Brodland, Jim H. Veldhuis, Steven Kim, Xiaoyan Ma, John P. Wikswo, Veniamin Y. Sidorov and Richard A. Gray and has published in prestigious journals such as PLoS ONE, Journal of Consulting and Clinical Psychology and Biophysical Journal.

In The Last Decade

David N. Mashburn

13 papers receiving 399 citations

Author Peers

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

Author Last Decade Papers Cites
David N. Mashburn 164 147 114 84 81 13 426
Sara Clark 137 0.8× 12 0.1× 126 1.1× 57 0.7× 51 0.6× 10 456
Douglas G. Perry 81 0.5× 64 0.4× 154 1.4× 48 0.6× 13 0.2× 14 467
Rodrigo Assar 16 0.1× 41 0.3× 37 0.3× 11 0.1× 11 0.1× 28 407
Eldra P. Solomon 67 0.4× 13 0.1× 277 2.4× 190 2.3× 8 0.1× 13 368
Katie Chun 63 0.4× 23 0.2× 76 0.7× 22 0.3× 3 0.0× 13 383
Scott Clark 38 0.2× 11 0.1× 83 0.7× 10 0.1× 4 0.0× 14 371
Alyssa Miller 4 0.0× 32 0.2× 26 0.2× 16 0.2× 15 0.2× 12 367
Carmen Poulin 21 0.1× 11 0.1× 54 0.5× 49 0.6× 6 0.1× 22 423
Gary Ferguson 11 0.1× 84 0.6× 14 0.1× 19 0.2× 9 0.1× 21 386
Barbara Wood 11 0.1× 11 0.1× 194 1.7× 70 0.8× 3 0.0× 19 449

Countries citing papers authored by David N. Mashburn

Since Specialization
Citations

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

Fields of papers citing papers by David N. Mashburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. Mashburn. 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 David N. Mashburn. The network helps show where David N. Mashburn may publish in the future.

Co-authorship network of co-authors of David N. Mashburn

This figure shows the co-authorship network connecting the top 25 collaborators of David N. Mashburn. A scholar is included among the top collaborators of David N. Mashburn 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 David N. Mashburn. David N. Mashburn 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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