Junsei Horikawa
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
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- Neural dynamics and brain function 27
- Hearing Loss and Rehabilitation 9
- Neuroscience and Music Perception 8
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- Hearing, Cochlea, Tinnitus, Genetics 9
- Co-authors
- Nobuo Suga (5 shared papers)Ikuo Taniguchi (16 shared papers)Yutaka Hosokawa (15 shared papers)Keiichi Murata (6 shared papers)Susumu Ito (3 shared papers)Michinori Kubota (8 shared papers)Tomoo Homma (1 shared paper)Masaya Kubota (1 shared paper)
In The Last Decade
Junsei Horikawa
46 papers receiving 620 citations
Peers
Comparison fields: 5 of 56
- Developmental Biology 93
- Sensory Systems 167
- Cognitive Neuroscience 454
- Cellular and Molecular Neuroscience 160
- Ecology, Evolution, Behavior and Systematics 95
Countries citing papers authored by Junsei Horikawa
This map shows the geographic impact of Junsei Horikawa'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 Junsei Horikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junsei Horikawa more than expected).
Fields of papers citing papers by Junsei Horikawa
This network shows the impact of papers produced by Junsei Horikawa. 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 Junsei Horikawa. The network helps show where Junsei Horikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Junsei Horikawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 80 | |
| 2 | 1988 | 63 | |
| 3 | 1997 | 49 | |
| 4 | 1996 | 48 | |
| 5 | 1992 | 42 | |
| 6 | 2001 | 42 | |
| 7 | 1986 | 32 | |
| 8 | 1980 | 26 | |
| 9 | 1997 | 24 | |
| 10 | 1986 | 23 | |
| 11 | 1994 | 23 | |
| 12 | 1998 | 16 | |
| 13 | 2004 | 12 | |
| 14 | 2014 | 12 | |
| 15 | 1997 | 10 | |
| 16 | 1992 | 10 | |
| 17 | 2012 | 9 | |
| 18 | 1997 | 9 | |
| 19 | 1988 | 9 | |
| 20 | 2006 | 7 |
About Junsei Horikawa
Junsei Horikawa is a scholar working on Cognitive Neuroscience, Sensory Systems, Signal Processing, Developmental Biology and Astronomy and Astrophysics, having authored 51 papers that have together received 647 indexed citations. Recurring topics across this work include Neural dynamics and brain function (27 papers), Hearing Loss and Rehabilitation (9 papers), Hearing, Cochlea, Tinnitus, Genetics (9 papers), Superconducting and THz Device Technology (8 papers), Neuroscience and Music Perception (8 papers), Blind Source Separation Techniques (5 papers), Animal Vocal Communication and Behavior (5 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Developmental Biology (93 citations), Sensory Systems (167 citations), Cognitive Neuroscience (454 citations), Cellular and Molecular Neuroscience (160 citations) and Ecology, Evolution, Behavior and Systematics (95 citations). Junsei Horikawa has collaborated with scholars based in Japan, France and Germany. Frequent co-authors include Nobuo Suga, Ikuo Taniguchi, Yutaka Hosokawa, Keiichi Murata, Susumu Ito, Michinori Kubota, Tomoo Homma, Masaya Kubota, Henning Scheich and Andreas Heß. Their work appears in journals such as Neuroreport, Hearing Research, IEEE Transactions on Applied Superconductivity, Journal of Comparative Physiology A and Network Computation in Neural Systems.
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.