Go Ashida

880 total citations
32 papers, 585 citations indexed

About

Go Ashida is a scholar working on Cognitive Neuroscience, Sensory Systems and Developmental Biology. According to data from OpenAlex, Go Ashida has authored 32 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 19 papers in Sensory Systems and 11 papers in Developmental Biology. Recurrent topics in Go Ashida's work include Neural dynamics and brain function (22 papers), Hearing, Cochlea, Tinnitus, Genetics (18 papers) and Hearing Loss and Rehabilitation (12 papers). Go Ashida is often cited by papers focused on Neural dynamics and brain function (22 papers), Hearing, Cochlea, Tinnitus, Genetics (18 papers) and Hearing Loss and Rehabilitation (12 papers). Go Ashida collaborates with scholars based in Germany, United States and Japan. Go Ashida's co-authors include Catherine Carr, Kazuo Funabiki, Jutta Kretzberg, Masakazu Konishi, Daniel J. Tollin, Catherine E. Carr, Richard Kempter, Hermann Wagner, Christine Köppl and Rainer Beutelmann and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Go Ashida

32 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Go Ashida Germany 15 413 263 135 109 76 32 585
Antje Brand Germany 7 461 1.1× 398 1.5× 191 1.4× 166 1.5× 119 1.6× 8 776
Nicol S. Harper United Kingdom 16 1.1k 2.7× 321 1.2× 124 0.9× 140 1.3× 49 0.6× 30 1.3k
Christian J. Sumner United Kingdom 17 769 1.9× 432 1.6× 77 0.6× 74 0.7× 40 0.5× 48 920
Chloé Huetz France 12 345 0.8× 103 0.4× 104 0.8× 91 0.8× 78 1.0× 32 487
J.R. Mendelson Canada 15 965 2.3× 302 1.1× 130 1.0× 132 1.2× 63 0.8× 19 1.1k
Craig A. Atencio United States 17 835 2.0× 200 0.8× 88 0.7× 238 2.2× 34 0.4× 28 941
Junsei Horikawa Japan 13 412 1.0× 166 0.6× 77 0.6× 146 1.3× 57 0.8× 49 581
Kerry M. M. Walker United Kingdom 17 687 1.7× 83 0.3× 105 0.8× 62 0.6× 33 0.4× 24 774
Brian J. Malone United States 16 680 1.6× 181 0.7× 49 0.4× 119 1.1× 16 0.2× 27 769
William P. Shofner United States 15 635 1.5× 508 1.9× 199 1.5× 56 0.5× 129 1.7× 38 834

Countries citing papers authored by Go Ashida

Since Specialization
Citations

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

Fields of papers citing papers by Go Ashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Ashida

This figure shows the co-authorship network connecting the top 25 collaborators of Go Ashida. A scholar is included among the top collaborators of Go Ashida 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 Go Ashida. Go Ashida 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.
Heeringa, Amarins N., et al.. (2023). Cochlear aging disrupts the correlation between spontaneous rate and sound-level coding in auditory nerve fibers. Journal of Neurophysiology. 130(3). 736–750. 8 indexed citations
2.
Carr, Catherine E., et al.. (2023). Experience-Dependent Plasticity in Nucleus Laminaris of the Barn Owl. Journal of Neuroscience. 44(1). e0940232023–e0940232023. 2 indexed citations
3.
Carr, Catherine E., et al.. (2021). Theoretical Relationship Between Two Measures of Spike Synchrony: Correlation Index and Vector Strength. Frontiers in Neuroscience. 15. 761826–761826. 6 indexed citations
4.
Ashida, Go, et al.. (2020). Neural rate difference model can account for lateralization of high-frequency stimuli. The Journal of the Acoustical Society of America. 148(2). 678–691. 11 indexed citations
5.
Heeringa, Amarins N., et al.. (2019). Temporal Coding of Single Auditory Nerve Fibers Is Not Degraded in Aging Gerbils. Journal of Neuroscience. 40(2). 343–354. 28 indexed citations
6.
Ashida, Go, et al.. (2019). Non-synaptic Plasticity in Leech Touch Cells. Frontiers in Physiology. 10. 1444–1444. 5 indexed citations
7.
Ashida, Go, et al.. (2019). Neuronal population model of globular bushy cells covering unit-to-unit variability. PLoS Computational Biology. 15(12). e1007563–e1007563. 6 indexed citations
8.
Ashida, Go, Kazuo Funabiki, Hermann Wagner, et al.. (2018). Contribution of action potentials to the extracellular field potential in the nucleus laminaris of barn owl. Journal of Neurophysiology. 119(4). 1422–1436. 11 indexed citations
9.
Ashida, Go & Waldo Nogueira. (2018). Spike-Conducting Integrate-and-Fire Model. eNeuro. 5(4). ENEURO.0112–18.2018. 14 indexed citations
10.
Ashida, Go, et al.. (2018). Binaural responses in the auditory midbrain of chicken (Gallus gallus). European Journal of Neuroscience. 51(5). 1290–1304. 8 indexed citations
11.
Ashida, Go, Daniel J. Tollin, & Jutta Kretzberg. (2017). Physiological models of the lateral superior olive. PLoS Computational Biology. 13(12). e1005903–e1005903. 23 indexed citations
12.
Ashida, Go, Jutta Kretzberg, & Daniel J. Tollin. (2016). Roles for Coincidence Detection in Coding Amplitude-Modulated Sounds. PLoS Computational Biology. 12(6). e1004997–e1004997. 25 indexed citations
13.
Ashida, Go, et al.. (2016). Tonotopic Optimization for Temporal Processing in the Cochlear Nucleus. Journal of Neuroscience. 36(32). 8500–8515. 22 indexed citations
14.
Carr, Catherine, et al.. (2016). The Role of Conduction Delay in Creating Sensitivity to Interaural Time Differences. Advances in experimental medicine and biology. 894. 189–196. 2 indexed citations
15.
Ashida, Go, et al.. (2016). Single and Multiple Change Point Detection in Spike Trains: Comparison of Different CUSUM Methods. Frontiers in Systems Neuroscience. 10. 51–51. 21 indexed citations
16.
Ashida, Go, Kazuo Funabiki, & Catherine Carr. (2013). Theoretical foundations of the sound analog membrane potential that underlies coincidence detection in the barn owl. Frontiers in Computational Neuroscience. 7. 151–151. 19 indexed citations
17.
Yoshizawa, Masato, Go Ashida, & William R. Jeffery. (2012). PARENTAL GENETIC EFFECTS IN A CAVEFISH ADAPTIVE BEHAVIOR EXPLAIN DISPARITY BETWEEN NUCLEAR AND MITOCHONDRIAL DNA. Evolution. 66(9). 2975–2982. 24 indexed citations
18.
Ashida, Go & Catherine Carr. (2011). Sound localization: Jeffress and beyond. Current Opinion in Neurobiology. 21(5). 745–751. 97 indexed citations
19.
Funabiki, Kazuo, Go Ashida, & Masakazu Konishi. (2011). Computation of Interaural Time Difference in the Owl's Coincidence Detector Neurons. Journal of Neuroscience. 31(43). 15245–15256. 41 indexed citations
20.
Ashida, Go, et al.. (2006). Passive Soma Facilitates Submillisecond Coincidence Detection in the Owl's Auditory System. Journal of Neurophysiology. 97(3). 2267–2282. 43 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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