Stephen D. Van Hooser

3.3k total citations
47 papers, 2.0k citations indexed

About

Stephen D. Van Hooser is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Stephen D. Van Hooser has authored 47 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 37 papers in Cellular and Molecular Neuroscience and 14 papers in Molecular Biology. Recurrent topics in Stephen D. Van Hooser's work include Neural dynamics and brain function (38 papers), Visual perception and processing mechanisms (22 papers) and Neurobiology and Insect Physiology Research (16 papers). Stephen D. Van Hooser is often cited by papers focused on Neural dynamics and brain function (38 papers), Visual perception and processing mechanisms (22 papers) and Neurobiology and Insect Physiology Research (16 papers). Stephen D. Van Hooser collaborates with scholars based in United States, Netherlands and Germany. Stephen D. Van Hooser's co-authors include Sacha B. Nelson, Gina G. Turrigiano, Keith B. Hengen, J. Alexander Heimel, Mark Mazurek, Kenneth D. Miller, Daniel B. Rubin, David Fitzpatrick, Donald B. Katz and Mary E. Lambo and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Stephen D. Van Hooser

47 papers receiving 2.0k citations

Peers

Stephen D. Van Hooser

CMN

EEE

Jean‐Marc Goaillard France

Aaron Kerlin United States

Bassam V. Atallah United States

Farzan Nadim United States

Timothy A. Machado United States

Ilka Diester Germany

Marco Dal Maschio Italy

Adam R. Kampff Portugal

Jason N. MacLean United States

J. Simon Wiegert Germany

Jean‐Marc Goaillard France

Stephen D. Van Hooser

1.3k ×0.9

1.8k ×1.4

CMN

774 ×1.6

248 ×1.2

EEE

90 ×0.9

Citations per year, relative to Stephen D. Van Hooser Stephen D. Van Hooser (= 1×) peers Jean‐Marc Goaillard

Countries citing papers authored by Stephen D. Van Hooser

Since Specialization

Citations

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

Fields of papers citing papers by Stephen D. Van Hooser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen D. Van Hooser. 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 Stephen D. Van Hooser. The network helps show where Stephen D. Van Hooser may publish in the future.

Co-authorship network of co-authors of Stephen D. Van Hooser

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

All Works

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20 of 20 papers shown

Escobedo-Lozoya, Yasmin, et al.. (2024). Prolonged Activity Deprivation Causes Pre- and Postsynaptic Compensatory Plasticity at Neocortical Excitatory Synapses. eNeuro. 11(6). ENEURO.0366–23.2024. 1 indexed citations

Escobedo-Lozoya, Yasmin, et al.. (2024). Progressive Circuit Hyperexcitability in Mouse Neocortical Slice Cultures with Increasing Duration of Activity Silencing. eNeuro. 11(5). ENEURO.0362–23.2024. 2 indexed citations

Hooser, Stephen D. Van, et al.. (2023). Impact of Acute Visual Experience on Development of LGN Receptive Fields in the Ferret. Journal of Neuroscience. 43(19). 3495–3508. 4 indexed citations

Valakh, Vera, et al.. (2023). A transcriptional constraint mechanism limits the homeostatic response to activity deprivation in mammalian neocortex. eLife. 12. 11 indexed citations

Hooser, Stephen D. Van, et al.. (2022). Paired Feed-Forward Excitation With Delayed Inhibition Allows High Frequency Computations Across Brain Regions. Frontiers in Neural Circuits. 15. 803065–803065. 1 indexed citations

Hengen, Keith B., et al.. (2021). Construction and Implementation of Carbon Fiber Microelectrode Arrays for Chronic and Acute <em>In Vivo</em> Recordings. Journal of Visualized Experiments. 2 indexed citations

Moore, Anna R., et al.. (2020). Experience-Dependent Development of Dendritic Arbors in Mouse Visual Cortex. Journal of Neuroscience. 40(34). 6536–6556. 12 indexed citations

Tatavarty, Vedakumar, Alejandro Torrado Pacheco, Nathaniel J Miska, et al.. (2020). Autism-Associated Shank3 Is Essential for Homeostatic Compensation in Rodent V1. Neuron. 106(5). 769–777.e4. 83 indexed citations

Moore, Anna R., et al.. (2018). Rem2 stabilizes intrinsic excitability and spontaneous firing in visual circuits. eLife. 7. 13 indexed citations

10.

Roy, Arani, et al.. (2018). Does experience provide a permissive or instructive influence on the development of direction selectivity in visual cortex?. Neural Development. 13(1). 16–16. 23 indexed citations

11.

Rubin, Daniel B., Stephen D. Van Hooser, & Kenneth D. Miller. (2015). The Stabilized Supralinear Network: A Unifying Circuit Motif Underlying Multi-Input Integration in Sensory Cortex. Neuron. 85(2). 402–417. 191 indexed citations

12.

Mazurek, Mark, et al.. (2014). Robust quantification of orientation selectivity and direction selectivity. Frontiers in Neural Circuits. 8. 92–92. 119 indexed citations

13.

Hooser, Stephen D. Van, et al.. (2013). Transformation of Receptive Field Properties from Lateral Geniculate Nucleus to Superficial V1 in the Tree Shrew. Journal of Neuroscience. 33(28). 11494–11505. 48 indexed citations

14.

Hooser, Stephen D. Van, et al.. (2012). Initial Neighborhood Biases and the Quality of Motion Stimulation Jointly Influence the Rapid Emergence of Direction Preference in Visual Cortex. Journal of Neuroscience. 32(21). 7258–7266. 30 indexed citations

15.

Hooser, Stephen D. Van, et al.. (2012). Molecular compartmentalization of lateral geniculate nucleus in the gray squirrel (Sciurus carolinensis). Frontiers in Neuroanatomy. 6. 12–12. 11 indexed citations

16.

Johnson, E. N., Stephen D. Van Hooser, & David Fitzpatrick. (2010). The Representation of S-Cone Signals in Primary Visual Cortex. Journal of Neuroscience. 30(31). 10337–10350. 21 indexed citations

17.

Hooser, Stephen D. Van, et al.. (2006). Creation and Reduction of a Morphologically Detailed Model of a Leech Heart Interneuron. Journal of Neurophysiology. 96(4). 2107–2120. 24 indexed citations

18.

Hooser, Stephen D. Van, J. Alexander Heimel, Sooyoung Chung, Sacha B. Nelson, & Louis J. Toth. (2005). Orientation Selectivity without Orientation Maps in Visual Cortex of a Highly Visual Mammal. Journal of Neuroscience. 25(1). 19–28. 123 indexed citations

19.

Hooser, Stephen D. Van, J. Alexander Heimel, & Sacha B. Nelson. (2005). Functional cell classes and functional architecture in the early visual system of a highly visual rodent. Progress in brain research. 149. 127–145. 20 indexed citations

20.

Hooser, Stephen D. Van, J. Alexander Heimel, & Sacha B. Nelson. (2003). Receptive Field Properties and Laminar Organization of Lateral Geniculate Nucleus in the Gray Squirrel ( Sciurus carolinensis ). Journal of Neurophysiology. 90(5). 3398–3418. 45 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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