David B. Kastner

1.4k total citations
26 papers, 776 citations indexed

About

David B. Kastner is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, David B. Kastner has authored 26 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 13 papers in Molecular Biology. Recurrent topics in David B. Kastner's work include Neural dynamics and brain function (15 papers), Retinal Development and Disorders (13 papers) and Photoreceptor and optogenetics research (9 papers). David B. Kastner is often cited by papers focused on Neural dynamics and brain function (15 papers), Retinal Development and Disorders (13 papers) and Photoreceptor and optogenetics research (9 papers). David B. Kastner collaborates with scholars based in United States, Switzerland and Germany. David B. Kastner's co-authors include Stephen A. Baccus, Deborah Fass, Chris A. Kaiser, Einav Gross, Tatyana O. Sharpee, Loren M. Frank, Surya Ganguli, Niru Maheswaranathan, Luca Della Santina and Anna K. Gillespie and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

David B. Kastner

26 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David B. Kastner United States 14 412 377 306 179 43 26 776
Yuki Bando Japan 13 351 0.9× 336 0.9× 593 1.9× 102 0.6× 42 1.0× 18 958
John M. Mendenhall United States 16 497 1.2× 222 0.6× 395 1.3× 46 0.3× 71 1.7× 22 1.4k
Deborah J. Baro United States 23 636 1.5× 217 0.6× 856 2.8× 95 0.5× 59 1.4× 46 1.4k
Peter H. Li United States 13 324 0.8× 241 0.6× 317 1.0× 41 0.2× 41 1.0× 24 672
Damian J. Wallace Germany 15 356 0.9× 573 1.5× 688 2.2× 83 0.5× 51 1.2× 30 1.2k
Miroslav Román Rosón Germany 4 521 1.3× 433 1.1× 586 1.9× 53 0.3× 73 1.7× 4 897
I. A. Shevelev Russia 25 956 2.3× 401 1.1× 258 0.8× 51 0.3× 22 0.5× 93 1.5k
Julia L. Bachman United States 10 752 1.8× 264 0.7× 552 1.8× 272 1.5× 13 0.3× 13 1.3k
Masayoshi Ito Japan 19 554 1.3× 124 0.3× 1.2k 3.9× 53 0.3× 22 0.5× 66 1.5k
Noah C. Benson United States 19 375 0.9× 880 2.3× 116 0.4× 18 0.1× 37 0.9× 50 1.4k

Countries citing papers authored by David B. Kastner

Since Specialization
Citations

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

Fields of papers citing papers by David B. Kastner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David B. Kastner

This figure shows the co-authorship network connecting the top 25 collaborators of David B. Kastner. A scholar is included among the top collaborators of David B. Kastner 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 B. Kastner. David B. Kastner 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.
Maheswaranathan, Niru, Lane McIntosh, David B. Kastner, et al.. (2023). Interpreting the retinal neural code for natural scenes: From computations to neurons. Neuron. 111(17). 2742–2755.e4. 16 indexed citations
2.
Kastner, David B., et al.. (2022). Spatial preferences account for inter-animal variability during the continual learning of a dynamic cognitive task. Cell Reports. 39(3). 110708–110708. 3 indexed citations
3.
Manu, Mihai, et al.. (2022). Synchronous inhibitory pathways create both efficiency and diversity in the retina. Proceedings of the National Academy of Sciences. 119(4). 1 indexed citations
4.
Kastner, David B., et al.. (2022). Inhibition, but not excitation, recovers from partial cone loss with greater spatiotemporal integration, synapse density, and frequency. Cell Reports. 38(5). 110317–110317. 9 indexed citations
5.
Kastner, David B., et al.. (2021). How inhibitory neurons increase information transmission under threshold modulation. Cell Reports. 35(8). 109158–109158. 4 indexed citations
6.
Gillespie, Anna K., Eric L. Denovellis, Daniel F. Liu, et al.. (2021). Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice. Neuron. 109(19). 3149–3163.e6. 89 indexed citations
7.
Kastner, David B., Anna K. Gillespie, Peter Dayan, & Loren M. Frank. (2020). Memory Alone Does Not Account for the Way Rats Learn a Simple Spatial Alternation Task. Journal of Neuroscience. 40(38). 7311–7317. 4 indexed citations
8.
Kastner, David B., et al.. (2020). Robust and replicable measurement for prepulse inhibition of the acoustic startle response. Molecular Psychiatry. 26(6). 1909–1927. 21 indexed citations
9.
Kastner, David B., Viktor Kharazia, Rhino Nevers, et al.. (2020). Scalable method for micro-CT analysis enables large scale quantitative characterization of brain lesions and implants. Scientific Reports. 10(1). 20851–20851. 9 indexed citations
10.
Kastner, David B., Irina De la Huerta, Simon Pan, et al.. (2019). Partial Cone Loss Triggers Synapse-Specific Remodeling and Spatial Receptive Field Rearrangements in a Mature Retinal Circuit. Cell Reports. 27(7). 2171–2183.e5. 31 indexed citations
11.
Kastner, David B., et al.. (2019). Adaptation of Inhibition Mediates Retinal Sensitization. Current Biology. 29(16). 2640–2651.e4. 16 indexed citations
12.
Maheswaranathan, Niru, David B. Kastner, Stephen A. Baccus, & Surya Ganguli. (2018). Inferring hidden structure in multilayered neural circuits. PLoS Computational Biology. 14(8). e1006291–e1006291. 42 indexed citations
13.
Kastner, David B., et al.. (2018). Adaptive feature detection from differential processing in parallel retinal pathways. PLoS Computational Biology. 14(11). e1006560–e1006560. 5 indexed citations
14.
Kastner, David B., et al.. (2016). A Model of Synaptic Reconsolidation. Frontiers in Neuroscience. 10. 206–206. 7 indexed citations
15.
Zenke, Friedemann, et al.. (2015). Synaptic Consolidation: From Synapses to Behavioral Modeling. Journal of Neuroscience. 35(3). 1319–1334. 28 indexed citations
16.
Kastner, David B. & Stephen A. Baccus. (2013). Insights from the retina into the diverse and general computations of adaptation, detection, and prediction. Current Opinion in Neurobiology. 25. 63–69. 33 indexed citations
17.
Kastner, David B. & Stephen A. Baccus. (2013). Spatial Segregation of Adaptation and Predictive Sensitization in Retinal Ganglion Cells. Neuron. 79(3). 541–554. 41 indexed citations
18.
Kastner, David B. & Stephen A. Baccus. (2011). Coordinated dynamic encoding in the retina using opposing forms of plasticity. Nature Neuroscience. 14(10). 1317–1322. 74 indexed citations
19.
Sachdev, Perminder S., Santosh T. Menon, David B. Kastner, et al.. (2007). G protein βγ subunit interaction with the dynein light‐chain component Tctex‐1 regulates neurite outgrowth. The EMBO Journal. 26(11). 2621–2632. 56 indexed citations
20.
Gross, Einav, David B. Kastner, Chris A. Kaiser, & Deborah Fass. (2004). Structure of Ero1p, Source of Disulfide Bonds for Oxidative Protein Folding in the Cell. Cell. 117(5). 601–610. 198 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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