David N. Mashburn

585 total citations
13 papers, 428 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 428 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 L. Rebecca Propst, Philip C. Watkins, M. Shane Hutson, Jim H. Veldhuis, G. Wayne Brodland, 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 401 citations

Peers

David N. Mashburn
Sarah A. Hayes United States
Karen A. Lawrence United States
Scott Clark United States
Diane L. Walker United Kingdom
Allan Beveridge United Kingdom
Karl J. Petersen United States
Sarah A. Hayes United States
David N. Mashburn
Citations per year, relative to David N. Mashburn David N. Mashburn (= 1×) peers Sarah A. Hayes

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

13 of 13 papers shown
1.
Veldhuis, Jim H., David N. Mashburn, M. Shane Hutson, & G. Wayne Brodland. (2015). Practical aspects of the cellular force inference toolkit (CellFIT). Methods in cell biology. 125. 331–351. 12 indexed citations
2.
Brodland, G. Wayne, et al.. (2014). CellFIT: A Cellular Force-Inference Toolkit Using Curvilinear Cell Boundaries. PLoS ONE. 9(6). e99116–e99116. 83 indexed citations
3.
Mashburn, David N.. (2013). The Anti-Crowd Pleaser: Fixing the Crowdfund Act's Hidden Risks and Inadequate Remedies. Emory law journal. 63(1). 127. 5 indexed citations
4.
Hutson, M. Shane, et al.. (2013). In-plane video force microscopy of morphogenesis in epithelia. Bulletin of the American Physical Society. 2013. 1 indexed citations
5.
Mashburn, David N., et al.. (2013). Apical Oscillations in Amnioserosa Cells: Basolateral Coupling and Mechanical Autonomy. Biophysical Journal. 105(1). 255–265. 28 indexed citations
6.
Gray, Richard A., David N. Mashburn, Veniamin Y. Sidorov, & John P. Wikswo. (2013). Quantification of Transmembrane Currents during Action Potential Propagation in the Heart. Biophysical Journal. 104(1). 268–278. 19 indexed citations
7.
Gray, Richard A., David N. Mashburn, Veniamin Y. Sidorov, et al.. (2013). Transmembrane Current Imaging in the Heart during Pacing and Fibrillation. Biophysical Journal. 105(7). 1710–1719. 1 indexed citations
8.
Mashburn, David N., et al.. (2012). Enabling user‐guided segmentation and tracking of surface‐labeled cells in time‐lapse image sets of living tissues. Cytometry Part A. 81A(5). 409–418. 50 indexed citations
9.
Maleckar, Mary M., Marcella C. Woods, Veniamin Y. Sidorov, et al.. (2008). Polarity reversal lowers activation time during diastolic field stimulation of the rabbit ventricles: insights into mechanisms. American Journal of Physiology-Heart and Circulatory Physiology. 295(4). H1626–H1633. 8 indexed citations
10.
Mashburn, David N., et al.. (2007). A high-voltage cardiac stimulator for field shocks of a whole heart in a bath. Review of Scientific Instruments. 78(10). 104302–104302. 4 indexed citations
11.
Lin, Shien‐Fong, et al.. (2007). A Phased-Array Stimulator System for Studying Planar and Curved Cardiac Activation Wavefronts. IEEE Transactions on Biomedical Engineering. 55(1). 222–229. 1 indexed citations
12.
Woods, Marcella C., Mary M. Maleckar, Veniamin Y. Sidorov, et al.. (2006). P3-12. Heart Rhythm. 3(5). S181–S182. 1 indexed citations
13.
Propst, L. Rebecca, et al.. (1992). Comparative efficacy of religious and nonreligious cognitive-behavioral therapy for the treatment of clinical depression in religious individuals.. Journal of Consulting and Clinical Psychology. 60(1). 94–103. 215 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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