Yulia Bereshpolova

1.2k total citations
22 papers, 789 citations indexed

About

Yulia Bereshpolova is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Yulia Bereshpolova has authored 22 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Yulia Bereshpolova's work include Neural dynamics and brain function (21 papers), Visual perception and processing mechanisms (14 papers) and Neuroscience and Neuropharmacology Research (6 papers). Yulia Bereshpolova is often cited by papers focused on Neural dynamics and brain function (21 papers), Visual perception and processing mechanisms (14 papers) and Neuroscience and Neuropharmacology Research (6 papers). Yulia Bereshpolova collaborates with scholars based in United States, Iran and Israel. Yulia Bereshpolova's co-authors include Harvey A. Swadlow, José‐Manuel Alonso, Carl R. Stoelzel, Yao Chen, Stephen L. Macknik, Tatiana Bezdudnaya, Susana Martínez‐Conde, Mónica Cano, Alexander G. Gusev and Jun Zhuang and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Yulia Bereshpolova

22 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulia Bereshpolova United States 16 721 424 127 64 39 22 789
Jason M. Samonds United States 13 523 0.7× 340 0.8× 72 0.6× 46 0.7× 16 0.4× 28 579
Adam Ranson United Kingdom 10 443 0.6× 342 0.8× 127 1.0× 26 0.4× 51 1.3× 12 574
J. Anthony Movshon United States 5 1.1k 1.5× 495 1.2× 122 1.0× 29 0.5× 26 0.7× 5 1.1k
Nicholas S. C. Price Australia 16 746 1.0× 313 0.7× 128 1.0× 38 0.6× 54 1.4× 52 820
Dimitri Yatsenko United States 6 605 0.8× 363 0.9× 64 0.5× 46 0.7× 78 2.0× 12 736
Patrick Mineault Canada 12 488 0.7× 274 0.6× 62 0.5× 32 0.5× 27 0.7× 13 613
Henry J. Alitto United States 14 697 1.0× 437 1.0× 197 1.6× 29 0.5× 29 0.7× 19 802
Jennifer M. Ichida United States 15 707 1.0× 345 0.8× 213 1.7× 24 0.4× 41 1.1× 16 848
Florian Pieper Germany 14 610 0.8× 235 0.6× 57 0.4× 23 0.4× 40 1.0× 23 712
Eugenio Piasini United States 8 475 0.7× 250 0.6× 74 0.6× 85 1.3× 67 1.7× 18 613

Countries citing papers authored by Yulia Bereshpolova

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Bereshpolova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulia Bereshpolova

This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Bereshpolova. A scholar is included among the top collaborators of Yulia Bereshpolova 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 Yulia Bereshpolova. Yulia Bereshpolova 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.
Alonso, José‐Manuel, et al.. (2024). Retinal direction of motion is reliably transmitted to visual cortex through highly selective thalamocortical connections. Current Biology. 35(1). 217–223.e4. 2 indexed citations
2.
Alonso, José‐Manuel, et al.. (2024). Visual Corticotectal Neurons in Awake Rabbits: Receptive Fields and Driving Monosynaptic Thalamocortical Inputs. Journal of Neuroscience. 44(19). e1945232024–e1945232024. 1 indexed citations
3.
4.
Bereshpolova, Yulia, et al.. (2019). Activation of a Visual Cortical Column by a Directionally Selective Thalamocortical Neuron. Cell Reports. 27(13). 3733–3740.e3. 13 indexed citations
5.
Stoelzel, Carl R., Yulia Bereshpolova, José‐Manuel Alonso, & Harvey A. Swadlow. (2017). Axonal Conduction Delays, Brain State, and Corticogeniculate Communication. Journal of Neuroscience. 37(26). 6342–6358. 36 indexed citations
6.
Stoelzel, Carl R., et al.. (2015). Hour-long adaptation in the awake early visual system. Journal of Neurophysiology. 114(2). 1172–1182. 8 indexed citations
7.
Zhuang, Jun, et al.. (2014). Brain State Effects on Layer 4 of the Awake Visual Cortex. Journal of Neuroscience. 34(11). 3888–3900. 22 indexed citations
8.
Jansen, M., Xiaobing Li, Reza Lashgari, et al.. (2014). Chromatic and Achromatic Spatial Resolution of Local Field Potentials in Awake Cortex. Cerebral Cortex. 25(10). 3877–3893. 13 indexed citations
9.
Chen, Yu, et al.. (2014). Mixing of Chromatic and Luminance Retinal Signals in Primate Area V1. Cerebral Cortex. 25(7). 1920–1937. 23 indexed citations
10.
Stoelzel, Carl R., et al.. (2014). Directional selective neurons in the awake LGN: response properties and modulation by brain state. Journal of Neurophysiology. 112(2). 362–373. 22 indexed citations
11.
Zhuang, Jun, et al.. (2013). Layer 4 in Primary Visual Cortex of the Awake Rabbit: Contrasting Properties of Simple Cells and Putative Feedforward Inhibitory Interneurons. Journal of Neuroscience. 33(28). 11372–11389. 31 indexed citations
12.
Lashgari, Reza, Xiaobing Li, Yao Chen, et al.. (2012). Response Properties of Local Field Potentials and Neighboring Single Neurons in Awake Primary Visual Cortex. Journal of Neuroscience. 32(33). 11396–11413. 34 indexed citations
13.
Bereshpolova, Yulia, Carl R. Stoelzel, Jun Zhuang, et al.. (2011). Getting Drowsy? Alert/Nonalert Transitions and Visual Thalamocortical Network Dynamics. Journal of Neuroscience. 31(48). 17480–17487. 35 indexed citations
14.
Chen, Yu, Sanjay Anand, S. Martinez-Conde, et al.. (2009). The linearity and selectivity of neuronal responses in awake visual cortex. Journal of Vision. 9(9). 12–12. 30 indexed citations
15.
Stoelzel, Carl R., Yulia Bereshpolova, & Harvey A. Swadlow. (2009). Stability of Thalamocortical Synaptic Transmission across Awake Brain States. Journal of Neuroscience. 29(21). 6851–6859. 48 indexed citations
16.
Stoelzel, Carl R., Yulia Bereshpolova, Alexander G. Gusev, & Harvey A. Swadlow. (2008). The Impact of an LGNd Impulse on the Awake Visual Cortex: Synaptic Dynamics and the Sustained/Transient Distinction. Journal of Neuroscience. 28(19). 5018–5028. 37 indexed citations
17.
Chen, Yao, Susana Martínez‐Conde, Stephen L. Macknik, et al.. (2008). Task difficulty modulates the activity of specific neuronal populations in primary visual cortex. Nature Neuroscience. 11(8). 974–982. 176 indexed citations
18.
Bereshpolova, Yulia, Yael Amitai, Alexander G. Gusev, Carl R. Stoelzel, & Harvey A. Swadlow. (2007). Dendritic Backpropagation and the State of the Awake Neocortex. Journal of Neuroscience. 27(35). 9392–9399. 35 indexed citations
19.
Bereshpolova, Yulia, Carl R. Stoelzel, Alexander G. Gusev, Tatiana Bezdudnaya, & Harvey A. Swadlow. (2006). The Impact of a Corticotectal Impulse on the Awake Superior Colliculus. Journal of Neuroscience. 26(8). 2250–2259. 26 indexed citations
20.
Bezdudnaya, Tatiana, Mónica Cano, Yulia Bereshpolova, et al.. (2006). Thalamic Burst Mode and Inattention in the Awake LGNd. Neuron. 49(3). 421–432. 101 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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