Go Ashida

37 papers receiving 660 citations

Peers

Go Ashida
Comparison fields: 5 of 71
  • Developmental Biology 151
  • Sensory Systems 292
  • Cognitive Neuroscience 458
  • Speech and Hearing 60
  • Cellular and Molecular Neuroscience 127
Replace Antje Brand with:
Antje Brand Germany
Craig A. Atencio United States
Christian J. Sumner United Kingdom
Chloé Huetz France
J.R. Mendelson Canada
Junsei Horikawa Japan
Nicol S. Harper United Kingdom
William P. Shofner United States
Thomas Lu United States
Brian J. Malone United States
Go Ashida relative to Antje Brand Germany Antje Brand's profile →
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Citations per year

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-authors

The 22 scholars most cited alongside Go Ashida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Go Ashida Line = papers co-authored together Go Ashida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011112
2 200647
3 201144
4 201036
5 201635
6 201929
7 201629
8 201725
9 201224
10 201622
11 201622
12 201521
13 201319
14 201316
15 201316
16 201015
17 201814
18 200914
19 201312
20 202012

About Go Ashida

Go Ashida is a scholar working on Cognitive Neuroscience, Sensory Systems, Developmental Biology, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 37 papers that have together received 664 indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Hearing, Cochlea, Tinnitus, Genetics (22 papers), Hearing Loss and Rehabilitation (13 papers), Animal Vocal Communication and Behavior (12 papers), stochastic dynamics and bifurcation (4 papers), Neuroscience and Neural Engineering (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Acoustic Wave Phenomena Research (3 papers). The work is most often cited by research in Developmental Biology (151 citations), Sensory Systems (292 citations), Cognitive Neuroscience (458 citations), Speech and Hearing (60 citations) and Cellular and Molecular Neuroscience (127 citations). Go Ashida has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Catherine Carr, Kazuo Funabiki, Jutta Kretzberg, Masakazu Konishi, Catherine E. Carr, Hermann Wagner, Daniel J. Tollin, Richard Kempter, Christine Köppl and Mathias Dietz. Their work appears in journals such as Journal of Neurophysiology, PLoS Computational Biology, Journal of Neuroscience, Advances in experimental medicine and biology and Frontiers in Neuroscience.

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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