Sasha Devore

2.4k total citations
31 papers, 814 citations indexed

About

Sasha Devore is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Sasha Devore has authored 31 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 8 papers in Sensory Systems. Recurrent topics in Sasha Devore's work include Neural dynamics and brain function (7 papers), Neurobiology and Insect Physiology Research (7 papers) and Olfactory and Sensory Function Studies (6 papers). Sasha Devore is often cited by papers focused on Neural dynamics and brain function (7 papers), Neurobiology and Insect Physiology Research (7 papers) and Olfactory and Sensory Function Studies (6 papers). Sasha Devore collaborates with scholars based in United States, Netherlands and United Kingdom. Sasha Devore's co-authors include Christiane Linster, Bertrand Delgutte, Barbara Shinn‐Cunningham, Jyrki Ahveninen, Thomas Witzel, Mikko Sams, Iiro P. Jääskeläinen, Orrin Devinsky, Matti Hämäläinen and Giorgio Bonmassar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Sasha Devore

30 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sasha Devore United States 15 519 226 163 144 82 31 814
Kelly C. Harris United States 17 792 1.5× 427 1.9× 146 0.9× 89 0.6× 75 0.9× 43 1.1k
Juan Huang China 13 394 0.8× 88 0.4× 119 0.7× 70 0.5× 86 1.0× 31 579
Jennifer Resnik Israel 8 579 1.1× 448 2.0× 71 0.4× 117 0.8× 116 1.4× 11 773
C. M. Leonard United Kingdom 6 954 1.8× 97 0.4× 250 1.5× 194 1.3× 64 0.8× 11 1.2k
Max F. K. Happel Germany 15 408 0.8× 126 0.6× 42 0.3× 302 2.1× 94 1.1× 33 678
Kenji Kirihara Japan 22 1.3k 2.4× 62 0.3× 183 1.1× 272 1.9× 97 1.2× 44 1.5k
Éric Tardif Switzerland 17 479 0.9× 64 0.3× 148 0.9× 178 1.2× 66 0.8× 33 676
Lynne Ling United States 13 819 1.6× 754 3.3× 70 0.4× 253 1.8× 129 1.6× 19 1.1k

Countries citing papers authored by Sasha Devore

Since Specialization
Citations

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

Fields of papers citing papers by Sasha Devore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sasha Devore

This figure shows the co-authorship network connecting the top 25 collaborators of Sasha Devore. A scholar is included among the top collaborators of Sasha Devore 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 Sasha Devore. Sasha Devore 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.
Zada, Zaid, Samuel A. Nastase, Bobbi Aubrey, et al.. (2025). The “Podcast” ECoG dataset for modeling neural activity during natural language comprehension. Scientific Data. 12(1). 1135–1135. 1 indexed citations
2.
Zada, Zaid, Ariel Goldstein, Sebastian Michelmann, et al.. (2024). A shared model-based linguistic space for transmitting our thoughts from brain to brain in natural conversations. Neuron. 112(18). 3211–3222.e5. 20 indexed citations
3.
Devore, Sasha, Orrin Devinsky, Werner Doyle, et al.. (2024). Temporal dynamics of short-term neural adaptation across human visual cortex. PLoS Computational Biology. 20(5). e1012161–e1012161.
4.
Leitner, Dominique, Ziyan Lin, Evgeny Kanshin, et al.. (2023). Metabolomic, proteomic, and transcriptomic changes in adults with epilepsy on modified Atkins diet. Epilepsia. 64(4). 1046–1060. 8 indexed citations
5.
Leitner, Dominique, Evgeny Kanshin, Arline Faustin, et al.. (2023). Localized proteomic differences in the choroid plexus of Alzheimer's disease and epilepsy patients. Frontiers in Neurology. 14. 1221775–1221775. 8 indexed citations
6.
Devinsky, Orrin, et al.. (2023). Cannabinoid treatments in epilepsy and seizure disorders. Physiological Reviews. 104(2). 591–649. 13 indexed citations
7.
Groen, Iris I. A., Giovanni Piantoni, Adeen Flinker, et al.. (2023). Spatial Tuning of Alpha Oscillations in Human Visual Cortex. Journal of Vision. 23(9). 5460–5460. 1 indexed citations
8.
Groen, Iris I. A., Giovanni Piantoni, Adeen Flinker, et al.. (2022). Temporal Dynamics of Neural Responses in Human Visual Cortex. Journal of Neuroscience. 42(40). 7562–7580. 24 indexed citations
9.
Leitner, Dominique, Evgeny Kanshin, Manor Askenazi, et al.. (2022). Pilot study evaluating everolimus molecular mechanisms in tuberous sclerosis complex and focal cortical dysplasia. PLoS ONE. 17(5). e0268597–e0268597. 12 indexed citations
10.
Jha, Ashwani, Cheongeun Oh, Dale C. Hesdorffer, et al.. (2021). Sudden Unexpected Death in Epilepsy. Neurology. 96(21). e2627–e2638. 25 indexed citations
11.
Michelmann, Sebastian, Amy Price, Bobbi Aubrey, et al.. (2021). Moment-by-moment tracking of naturalistic learning and its underlying hippocampo-cortical interactions. Nature Communications. 12(1). 5394–5394. 28 indexed citations
12.
Hardstone, Richard, Michael X. Zhu, Adeen Flinker, et al.. (2021). Long-term priors influence visual perception through recruitment of long-range feedback. Nature Communications. 12(1). 6288–6288. 24 indexed citations
13.
Mills, James D., Sasha Devore, Daniel Friedman, et al.. (2020). Identification of Specific Circular RNA Expression Patterns and MicroRNA Interaction Networks in Mesial Temporal Lobe Epilepsy. Frontiers in Genetics. 11. 564301–564301. 15 indexed citations
14.
Almeida, Licurgo de, et al.. (2016). Internal Cholinergic Regulation of Learning and Recall in a Model of Olfactory Processing. Frontiers in Cellular Neuroscience. 10. 256–256. 8 indexed citations
15.
Devore, Sasha, et al.. (2014). Distinct Roles of Bulbar Muscarinic and Nicotinic Receptors in Olfactory Discrimination Learning. Journal of Neuroscience. 34(34). 11244–11260. 27 indexed citations
16.
Devore, Sasha, Joshua K. Lee, & Christiane Linster. (2013). Odor preferences shape discrimination learning in rats.. Behavioral Neuroscience. 127(4). 498–504. 22 indexed citations
17.
Devore, Sasha & Christiane Linster. (2012). Noradrenergic and cholinergic modulation of olfactory bulb sensory processing. Frontiers in Behavioral Neuroscience. 6. 52–52. 61 indexed citations
18.
Devore, Sasha & Bertrand Delgutte. (2010). Effects of Reverberation on the Directional Sensitivity of Auditory Neurons across the Tonotopic Axis: Influences of Interaural Time and Level Differences. Journal of Neuroscience. 30(23). 7826–7837. 52 indexed citations
19.
Ahveninen, Jyrki, Iiro P. Jääskeläinen, Tommi Raij, et al.. (2006). Task-modulated “what” and “where” pathways in human auditory cortex. Proceedings of the National Academy of Sciences. 103(39). 14608–14613. 268 indexed citations
20.
Devore, Sasha & Barbara Shinn‐Cunningham. (2003). PERCEPTUAL CONSENQUECES OF INCLUDING REVERBERATION IN SPATIAL AUDITORY DISPLAYS. 8 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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