David Tsay

816 total citations
10 papers, 626 citations indexed

About

David Tsay is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, David Tsay has authored 10 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in David Tsay's work include Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Optical Coherence Tomography Applications (2 papers). David Tsay is often cited by papers focused on Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Optical Coherence Tomography Applications (2 papers). David Tsay collaborates with scholars based in United States and Germany. David Tsay's co-authors include Joshua T. Dudman, Steven A. Siegelbaum, Rafael Yuste, Knut Holthoff, Cam Patterson, Christine P. Hendon, Charles C. Marboe, Yu Gan and Xinwen Yao and has published in prestigious journals such as Circulation, Neuron and Trends in Neurosciences.

In The Last Decade

David Tsay

10 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Tsay United States	8	459	280	188	75	51	10	626
Adriano Cattani Germany	11	613 1.3×	518 1.9×	175 0.9×	48 0.6×	41 0.8×	16	1.0k
Farid Hamzei‐Sichani United States	14	520 1.1×	499 1.8×	138 0.7×	47 0.6×	15 0.3×	17	995
Andrzej Bialowas France	8	481 1.0×	291 1.0×	217 1.2×	35 0.5×	34 0.7×	8	698
Vladan Rankovic Germany	16	607 1.3×	305 1.1×	329 1.8×	47 0.6×	70 1.4×	24	952
Anna R. Moore United States	13	433 0.9×	232 0.8×	323 1.7×	45 0.6×	31 0.6×	17	749
Guoming Luan China	17	184 0.4×	235 0.8×	69 0.4×	32 0.4×	33 0.6×	61	630
Steven R. Young United States	13	381 0.8×	180 0.6×	235 1.3×	64 0.9×	39 0.8×	24	605
R. M. Miura Canada	10	555 1.2×	511 1.8×	211 1.1×	41 0.5×	17 0.3×	10	753
Mark R. Witcher United States	10	459 1.0×	252 0.9×	119 0.6×	86 1.1×	37 0.7×	33	793
Varun Sreenivasan United States	11	612 1.3×	657 2.3×	161 0.9×	30 0.4×	38 0.7×	16	1.0k

Countries citing papers authored by David Tsay

Since Specialization

Citations

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

Fields of papers citing papers by David Tsay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Tsay

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Tsay, David & Cam Patterson. (2018). From Machine Learning to Artificial Intelligence Applications in Cardiac Care. Circulation. 138(22). 2569–2575. 38 indexed citations

2.

Gan, Yu, Xinwen Yao, David Tsay, Charles C. Marboe, & Christine P. Hendon. (2017). Characterization of ventricular endomyocardial tissue using optical coherence tomography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10042. 1004207–1004207. 1 indexed citations

3.

Gan, Yu, et al.. (2016). Automated classification of optical coherence tomography images of human atrial tissue. Journal of Biomedical Optics. 21(10). 101407–101407. 51 indexed citations

4.

Dudman, Joshua T., David Tsay, & Steven A. Siegelbaum. (2007). A Role for Synaptic Inputs at Distal Dendrites: Instructive Signals for Hippocampal Long-Term Plasticity. Neuron. 56(5). 866–879. 143 indexed citations

5.

Tsay, David, Joshua T. Dudman, & Steven A. Siegelbaum. (2007). HCN1 Channels Constrain Synaptically Evoked Ca2+ Spikes in Distal Dendrites of CA1 Pyramidal Neurons. Neuron. 56(6). 1076–1089. 170 indexed citations

6.

Tsay, David, et al.. (2005). Metrics for comparative analysis of operations competency. Bell Labs Technical Journal. 10(1). 175–179. 1 indexed citations

7.

Tsay, David & Rafael Yuste. (2003). On the electrical function of dendritic spines. Trends in Neurosciences. 27(2). 77–83. 86 indexed citations

8.

Holthoff, Knut & David Tsay. (2002). Calcium Dynamics in Spines: Link to Synaptic Plasticity. Experimental Physiology. 87(6). 725–731. 7 indexed citations

9.

Holthoff, Knut, David Tsay, & Rafael Yuste. (2002). Calcium Dynamics of Spines Depend on Their Dendritic Location. Neuron. 33(3). 425–437. 99 indexed citations

10.

Tsay, David & Rafael Yuste. (2002). Role of Dendritic Spines in Action Potential Backpropagation: A Numerical Simulation Study. Journal of Neurophysiology. 88(5). 2834–2845. 30 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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