Amanda J. Foust

1.1k total citations
34 papers, 733 citations indexed

About

Amanda J. Foust is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Amanda J. Foust has authored 34 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 17 papers in Cognitive Neuroscience and 14 papers in Biophysics. Recurrent topics in Amanda J. Foust's work include Neural dynamics and brain function (16 papers), Advanced Fluorescence Microscopy Techniques (14 papers) and Neuroscience and Neural Engineering (14 papers). Amanda J. Foust is often cited by papers focused on Neural dynamics and brain function (16 papers), Advanced Fluorescence Microscopy Techniques (14 papers) and Neuroscience and Neural Engineering (14 papers). Amanda J. Foust collaborates with scholars based in United Kingdom, United States and France. Amanda J. Foust's co-authors include David A. McCormick, Marko Popović, Dejan Zečević, David M. Rector, Valentina Emiliani, Yuguo Yu, Valeria Zampini, Dimitrii Tanese, Eirini Papagiakoumou and Simon R. Schultz and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and The Journal of Physiology.

In The Last Decade

Amanda J. Foust

33 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda J. Foust United Kingdom 14 503 322 162 145 114 34 733
Dániel Hillier Hungary 11 623 1.2× 398 1.2× 422 2.6× 200 1.4× 135 1.2× 20 1.1k
Nicholas Sofroniew United States 5 407 0.8× 447 1.4× 121 0.7× 236 1.6× 75 0.7× 6 801
Tianfu Li China 19 345 0.7× 194 0.6× 161 1.0× 83 0.6× 80 0.7× 72 1.0k
Damian J. Wallace Germany 15 688 1.4× 573 1.8× 356 2.2× 276 1.9× 135 1.2× 30 1.2k
Francisca Martínez Traub United States 8 187 0.4× 165 0.5× 103 0.6× 319 2.2× 133 1.2× 8 604
Emiliano Ronzitti France 16 543 1.1× 302 0.9× 127 0.8× 276 1.9× 207 1.8× 27 865
Adrian Negrean United States 10 296 0.6× 169 0.5× 151 0.9× 216 1.5× 162 1.4× 14 642
J Sawiński Germany 6 279 0.6× 291 0.9× 156 1.0× 134 0.9× 84 0.7× 10 571
Hana Roš United Kingdom 7 491 1.0× 462 1.4× 184 1.1× 128 0.9× 61 0.5× 7 788
Henry Dalgleish United Kingdom 6 378 0.8× 325 1.0× 71 0.4× 126 0.9× 53 0.5× 7 538

Countries citing papers authored by Amanda J. Foust

Since Specialization
Citations

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

Fields of papers citing papers by Amanda J. Foust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda J. Foust

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

All Works

20 of 20 papers shown
1.
Foust, Amanda J., et al.. (2024). Model-Based Explainable Deep Learning for Light-Field Microscopy Imaging. IEEE Transactions on Image Processing. 33. 3059–3074. 1 indexed citations
2.
Lesept, Flavie, et al.. (2023). Physics-Based Deep Learning for Imaging Neuronal Activity via Two-Photon and Light Field Microscopy. IEEE Transactions on Computational Imaging. 9. 565–580. 4 indexed citations
3.
4.
Foust, Amanda J., et al.. (2022). Shift-Invariant-Subspace Discretization and Volume Reconstruction for Light Field Microscopy. IEEE Transactions on Computational Imaging. 8. 286–301. 6 indexed citations
5.
Sun, Yilin, Mar Arias-García, Corey D. Acker, et al.. (2022). Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells. Communications Biology. 5(1). 1178–1178. 29 indexed citations
6.
Foust, Amanda J., et al.. (2020). 3D Localization for Light-Field Microscopy via Convolutional Sparse Coding on Epipolar Images. IEEE Transactions on Computational Imaging. 6. 1017–1032. 12 indexed citations
7.
Foust, Amanda J., et al.. (2020). Volume Reconstruction for Light Field Microscopy. 1459–1463. 7 indexed citations
8.
Song, Chenchen, Milena Milošević, Mark A. A. Neil, et al.. (2019). Single-Neuron Level One-Photon Voltage Imaging With Sparsely Targeted Genetically Encoded Voltage Indicators. Frontiers in Cellular Neuroscience. 13. 202–202. 19 indexed citations
9.
Neil, Mark A. A., et al.. (2018). High speed functional imaging with source localized multifocal two-photon microscopy. Biomedical Optics Express. 9(8). 3678–3678. 4 indexed citations
10.
Cazé, Romain D., Sarah Jarvis, Amanda J. Foust, & Simon R. Schultz. (2017). Dendrites Enable a Robust Mechanism for Neuronal Stimulus Selectivity. Neural Computation. 29(9). 2511–2527. 10 indexed citations
11.
Guillon, Marc, Benoı̂t C. Forget, Amanda J. Foust, et al.. (2017). Vortex-free phase profiles for uniform patterning with computer-generated holography. Optics Express. 25(11). 12640–12640. 24 indexed citations
12.
Foust, Amanda J., et al.. (2015). Cortical Interneuron Subtypes Vary in Their Axonal Action Potential Properties. Journal of Neuroscience. 35(47). 15555–15567. 35 indexed citations
13.
Foust, Amanda J., Yuguo Yu, Marko Popović, Dejan Zečević, & David A. McCormick. (2011). Somatic Membrane Potential and Kv1 Channels Control Spike Repolarization in Cortical Axon Collaterals and Presynaptic Boutons. Journal of Neuroscience. 31(43). 15490–15498. 74 indexed citations
14.
Popović, Marko, Amanda J. Foust, David A. McCormick, & Dejan Zečević. (2011). The spatio‐temporal characteristics of action potential initiation in layer 5 pyramidal neurons: a voltage imaging study. The Journal of Physiology. 589(17). 4167–4187. 90 indexed citations
15.
Foust, Amanda J., Marko Popović, Dejan Zečević, & David A. McCormick. (2010). Action Potentials Initiate in the Axon Initial Segment and Propagate through Axon Collaterals Reliably in Cerebellar Purkinje Neurons. Journal of Neuroscience. 30(20). 6891–6902. 112 indexed citations
16.
Foust, Amanda J., et al.. (2009). State-dependent auditory evoked hemodynamic responses recorded optically with indwelling photodiodes. Applied Optics. 48(10). D121–D121. 9 indexed citations
17.
Foust, Amanda J. & David M. Rector. (2007). Optically teasing apart neural swelling and depolarization. Neuroscience. 145(3). 887–899. 49 indexed citations
18.
McCluskey, Matthew D., Jeffrey J. Sable, Amanda J. Foust, Gabriele Gratton, & David M. Rector. (2007). Recording invertebrate nerve activation with modulated light changes. Applied Optics. 46(10). 1866–1866. 3 indexed citations
19.
Foust, Amanda J. & David M. Rector. (2006). Optically Teasing Apart Neural Swelling and Depolarization. Biomedical optics. 61. MD7–MD7. 3 indexed citations
20.
Foust, Amanda J., et al.. (2005). Optimized birefringence changes during isolated nerve activation. Applied Optics. 44(11). 2008–2008. 11 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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