Gene J. Yu

487 total citations
33 papers, 354 citations indexed

About

Gene J. Yu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Gene J. Yu has authored 33 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 21 papers in Cellular and Molecular Neuroscience and 4 papers in Developmental Neuroscience. Recurrent topics in Gene J. Yu's work include Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (15 papers) and Memory and Neural Mechanisms (13 papers). Gene J. Yu is often cited by papers focused on Neuroscience and Neuropharmacology Research (16 papers), Neural dynamics and brain function (15 papers) and Memory and Neural Mechanisms (13 papers). Gene J. Yu collaborates with scholars based in United States and Italy. Gene J. Yu's co-authors include George Wolberg, Siavash Zokai, Theodore W. Berger, Dong Song, Ioannis Stamos, Lingyun Liu, Chao Chen, Yong Wang, Tricia A. Harvat and David Eddington and has published in prestigious journals such as Analytical Chemistry, Medicine & Science in Sports & Exercise and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Gene J. Yu

32 papers receiving 341 citations

Peers

Gene J. Yu
Guillaume Caron France
Yun Hwa Hong South Korea
Steven McDonagh United Kingdom
Ángel Rodríguez Spain
Qi Fang China
Tomer Weiss United States
Siming Yan United States
David Prasser Australia
Zhenghao Shi China
Guillaume Caron France
Gene J. Yu
Citations per year, relative to Gene J. Yu Gene J. Yu (= 1×) peers Guillaume Caron

Countries citing papers authored by Gene J. Yu

Since Specialization
Citations

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

Fields of papers citing papers by Gene J. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene J. Yu. 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 Gene J. Yu. The network helps show where Gene J. Yu may publish in the future.

Co-authorship network of co-authors of Gene J. Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Gene J. Yu. A scholar is included among the top collaborators of Gene J. Yu 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 Gene J. Yu. Gene J. Yu 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.
Pelot, Nicole A., Boshuo Wang, Gene J. Yu, et al.. (2025). Guidance for sharing computational models of neural stimulation: from project planning to publication. Journal of Neural Engineering. 22(2). 21001–21001. 1 indexed citations
2.
Yu, Gene J., Federico Ranieri, Vincenzo Di Lazzaro, et al.. (2024). Circuits and mechanisms for TMS-induced corticospinal waves: Connecting sensitivity analysis to the network graph. PLoS Computational Biology. 20(12). e1012640–e1012640. 1 indexed citations
3.
Yu, Gene J., Federico Ranieri, Vincenzo Di Lazzaro, et al.. (2023). The origin of I-waves: Computational neuronal network model of the cortical column response to TMS. Brain stimulation. 16(1). 149–149. 1 indexed citations
4.
Yu, Gene J., et al.. (2021). Bridging Hierarchies in Multi-Scale Models of Neural Systems: Look-Up Tables Enable Computationally Efficient Simulations of Non-linear Synaptic Dynamics. Frontiers in Computational Neuroscience. 15. 733155–733155. 2 indexed citations
5.
Yu, Gene J., et al.. (2020). Generation of Granule Cell Dendritic Morphologies by Estimating the Spatial Heterogeneity of Dendritic Branching. Frontiers in Computational Neuroscience. 14. 23–23.
6.
Yu, Gene J., Jean‐Marie C. Bouteiller, & Theodore W. Berger. (2020). Topographic Organization of Correlation Along the Longitudinal and Transverse Axes in Rat Hippocampal CA3 Due to Excitatory Afferents. Frontiers in Computational Neuroscience. 14. 588881–588881. 3 indexed citations
7.
Bouteiller, Jean‐Marie C., et al.. (2020). A Computational Model of the Cholinergic Modulation of CA1 Pyramidal Cell Activity. Frontiers in Computational Neuroscience. 14. 75–75. 4 indexed citations
8.
Edison, Bianca, et al.. (2020). Oculomotor Function In Adolescent Athletes Following Concussion. Medicine & Science in Sports & Exercise. 52(7S). 92–92. 1 indexed citations
9.
Yu, Gene J., Andrew Gilbert, Jean‐Marie C. Bouteiller, et al.. (2018). Model-Based Analysis of Electrode Placement and Pulse Amplitude for Hippocampal Stimulation. IEEE Transactions on Biomedical Engineering. 65(10). 2278–2289. 17 indexed citations
10.
Yu, Gene J., Andrew Gilbert, Jean‐Marie C. Bouteiller, et al.. (2016). A large-scale detailed neuronal model of electrical stimulation of the dentate gyrus and perforant path as a platform for electrode design and optimization. PubMed. 2016. 2794–2797. 5 indexed citations
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Yu, Gene J., Dong Song, & Theodore W. Berger. (2014). Implementation of the excitatory entorhinal-dentate-CA3 topography in a large-scale computational model of the rat hippocampus. PubMed. 18. 6581–6584. 4 indexed citations
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Yu, Gene J., et al.. (2012). Towards a large-scale biologically realistic model of the hippocampus. PubMed. 20. 4595–4598. 8 indexed citations
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Stamos, Ioannis, Lingyun Liu, Chao Chen, et al.. (2007). Integrating Automated Range Registration with Multiview Geometry for the Photorealistic Modeling of Large-Scale Scenes. International Journal of Computer Vision. 78(2-3). 237–260. 78 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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