Yazan N. Billeh

2.3k total citations
21 papers, 769 citations indexed

About

Yazan N. Billeh is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Yazan N. Billeh has authored 21 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Yazan N. Billeh's work include Neural dynamics and brain function (12 papers), Photoreceptor and optogenetics research (5 papers) and Advanced Memory and Neural Computing (5 papers). Yazan N. Billeh is often cited by papers focused on Neural dynamics and brain function (12 papers), Photoreceptor and optogenetics research (5 papers) and Advanced Memory and Neural Computing (5 papers). Yazan N. Billeh collaborates with scholars based in United States, United Kingdom and France. Yazan N. Billeh's co-authors include Michael Mayer, Erik C. Yusko, Jerry Yang, Sheereen Majd, Christof Koch, Michael T. Schaub, Anton Arkhipov, Kael Dai, Mauricio Barahona and Sergey L. Gratiy and has published in prestigious journals such as Neuron, PLoS ONE and Biophysical Journal.

In The Last Decade

Yazan N. Billeh

21 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yazan N. Billeh United States 13 326 285 219 183 172 21 769
Chie Hosokawa Japan 17 92 0.3× 348 1.2× 189 0.9× 146 0.8× 169 1.0× 63 808
Douglas J. McKnight United States 10 229 0.7× 140 0.5× 80 0.4× 281 1.5× 242 1.4× 31 745
Joseph S. Najem United States 13 106 0.3× 375 1.3× 183 0.8× 172 0.9× 334 1.9× 41 822
Brandon Benson United States 6 221 0.7× 208 0.7× 138 0.6× 282 1.5× 68 0.4× 10 678
Hakan Inan United States 10 69 0.2× 307 1.1× 218 1.0× 105 0.6× 161 0.9× 15 828
Janelle Shane United States 11 220 0.7× 145 0.5× 75 0.3× 283 1.5× 126 0.7× 17 679
Suguru N. Kudoh Japan 14 216 0.7× 128 0.4× 59 0.3× 323 1.8× 90 0.5× 71 485
Andreas Hartel Germany 14 84 0.3× 89 0.3× 222 1.0× 89 0.5× 188 1.1× 19 583
Arthur W. Wetzel United States 9 418 1.3× 82 0.3× 352 1.6× 401 2.2× 91 0.5× 24 1.3k

Countries citing papers authored by Yazan N. Billeh

Since Specialization
Citations

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

Fields of papers citing papers by Yazan N. Billeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yazan N. Billeh. 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 Yazan N. Billeh. The network helps show where Yazan N. Billeh may publish in the future.

Co-authorship network of co-authors of Yazan N. Billeh

This figure shows the co-authorship network connecting the top 25 collaborators of Yazan N. Billeh. A scholar is included among the top collaborators of Yazan N. Billeh 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 Yazan N. Billeh. Yazan N. Billeh 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.
Marshall, William, Yazan N. Billeh, Corbett Bennett, et al.. (2023). A survey of neurophysiological differentiation across mouse visual brain areas and timescales. Frontiers in Computational Neuroscience. 17. 1040629–1040629. 1 indexed citations
2.
Stasik, A., Espen Hagen, Yazan N. Billeh, et al.. (2023). Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex. eLife. 12. 15 indexed citations
3.
Dai, Kael, Sergey L. Gratiy, Yazan N. Billeh, et al.. (2020). Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. PLoS Computational Biology. 16(11). e1008386–e1008386. 31 indexed citations
4.
Dai, Kael, Juan Hernando, Yazan N. Billeh, et al.. (2020). The SONATA data format for efficient description of large-scale network models. PLoS Computational Biology. 16(2). e1007696–e1007696. 29 indexed citations
5.
Billeh, Yazan N., Binghuang Cai, Sergey L. Gratiy, et al.. (2020). Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex. Neuron. 106(3). 388–403.e18. 144 indexed citations
6.
Billeh, Yazan N., Binghuang Cai, Sergey L. Gratiy, et al.. (2019). Systematic Integration of Structural and Functional Data into Multi-Scale Models of Mouse Primary Visual Cortex. SSRN Electronic Journal. 3 indexed citations
7.
Dai, Kael, Juan Hernando, Yazan N. Billeh, et al.. (2019). The SONATA Data Format for Efficient Description of Large-Scale Network Models. SSRN Electronic Journal. 6 indexed citations
8.
Gratiy, Sergey L., Yazan N. Billeh, Kael Dai, et al.. (2018). BioNet: A Python interface to NEURON for modeling large-scale networks. PLoS ONE. 13(8). e0201630–e0201630. 34 indexed citations
9.
Billeh, Yazan N. & Michael T. Schaub. (2017). Feedforward architectures driven by inhibitory interactions. Journal of Computational Neuroscience. 44(1). 63–74. 3 indexed citations
10.
Miyawaki, Hiroyuki, Yazan N. Billeh, & Kamran Diba. (2017). Low Activity Microstates During Sleep. SLEEP. 40(6). 18 indexed citations
11.
Billeh, Yazan N., Alexander V. Rodriguez, Michele Bellesi, et al.. (2016). Effects of Chronic Sleep Restriction during Early Adolescence on the Adult Pattern of Connectivity of Mouse Secondary Motor Cortex. eNeuro. 3(2). ENEURO.0053–16.2016. 18 indexed citations
12.
Schaub, Michael T., et al.. (2016). Flow-Based Network Analysis of the Caenorhabditis elegans Connectome. PLoS Computational Biology. 12(8). e1005055–e1005055. 50 indexed citations
13.
Schaub, Michael T., Yazan N. Billeh, Costas A. Anastassiou, Christof Koch, & Mauricio Barahona. (2015). Emergence of Slow-Switching Assemblies in Structured Neuronal Networks. PLoS Computational Biology. 11(7). e1004196–e1004196. 31 indexed citations
14.
Bruhn, Brandon R., et al.. (2014). Osmosis-Based Pressure Generation: Dynamics and Application. PLoS ONE. 9(3). e91350–e91350. 23 indexed citations
15.
Schroeder, Thomas B. H., Brandon R. Bruhn, Suyi Li, et al.. (2014). Dynamics of Bio-Inspired Pressure Generation. Biophysical Journal. 106(2). 615a–615a. 1 indexed citations
16.
Billeh, Yazan N., Michael T. Schaub, Costas A. Anastassiou, Mauricio Barahona, & Christof Koch. (2014). Revealing cell assemblies at multiple levels of granularity. Journal of Neuroscience Methods. 236. 92–106. 21 indexed citations
17.
Yusko, Erik C., Jay M. Johnson, Yazan N. Billeh, et al.. (2010). Lipid Bilayers in Nanopores to Vary their Diameter, Characterize Amyloid-β Aggregates and Monitor the Activity of Membrane-Active Enzymes. Biophysical Journal. 98(3). 598a–598a. 1 indexed citations
18.
Billeh, Yazan N., Mengyang Liu, & Takashi Buma. (2010). Spectroscopic photoacoustic microscopy using a photonic crystal fiber supercontinuum source. Optics Express. 18(18). 18519–18519. 46 indexed citations
19.
Majd, Sheereen, et al.. (2010). Applications of biological pores in nanomedicine, sensing, and nanoelectronics. Current Opinion in Biotechnology. 21(4). 439–476. 283 indexed citations
20.
Yusko, Erik C., Yazan N. Billeh, & Michael Mayer. (2010). Current oscillations generated by precipitate formation in the mixing zone between two solutions inside a nanopore. Journal of Physics Condensed Matter. 22(45). 454127–454127. 10 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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