Teppei Noda
Impact in
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
- Neurology top 10%
- Vestibular and auditory disorders
- Neurological disorders and treatments
Papers in
-
- Hearing, Cochlea, Tinnitus, Genetics 10
-
- Hearing Loss and Rehabilitation 4
- Neural dynamics and brain function 3
- Co-authors
- Hiroshi Oka (4 shared papers)Alain Dabdoub (4 shared papers)Koji Nishimura (3 shared papers)Takashi Yamamoto (1 shared paper)Shizuo Komune (6 shared papers)Noritaka Komune (14 shared papers)Ryutaro Uchi (8 shared papers)Joanna F. Mulvaney (2 shared papers)
- Journals
- Brain Research (4 papers)Hearing Research (2 papers)The Laryngoscope (2 papers)PLoS ONE (2 papers)Developmental Biology (1 paper)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Teppei Noda
30 papers receiving 492 citations
Peers
Comparison fields: 5 of 60
- Sensory Systems 155
- Neurology 63
- Otorhinolaryngology 28
- Cellular and Molecular Neuroscience 127
- Cognitive Neuroscience 124
Countries citing papers authored by Teppei Noda
This map shows the geographic impact of Teppei Noda'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 Teppei Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teppei Noda more than expected).
Fields of papers citing papers by Teppei Noda
This network shows the impact of papers produced by Teppei Noda. 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 Teppei Noda. The network helps show where Teppei Noda may publish in the future.
Co-authors
The 25 scholars most cited alongside Teppei Noda, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 56 | |
| 2 | 1984 | 51 | |
| 3 | 2017 | 44 | |
| 4 | 2018 | 40 | |
| 5 | 2016 | 39 | |
| 6 | 1984 | 33 | |
| 7 | 2020 | 27 | |
| 8 | 2013 | 25 | |
| 9 | 2020 | 22 | |
| 10 | 2011 | 20 | |
| 11 | 2016 | 19 | |
| 12 | 2012 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 1983 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2010 | 10 | |
| 18 | 1985 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2011 | 7 |
About Teppei Noda
Teppei Noda is a scholar working on Sensory Systems, Cognitive Neuroscience, Oncology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 504 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (10 papers), Ear and Head Tumors (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Vestibular and auditory disorders (4 papers), Hearing Loss and Rehabilitation (4 papers), Neural dynamics and brain function (3 papers), Subtitles and Audiovisual Media (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Sensory Systems (155 citations), Neurology (63 citations), Otorhinolaryngology (28 citations), Cellular and Molecular Neuroscience (127 citations) and Cognitive Neuroscience (124 citations). Teppei Noda has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Hiroshi Oka, Alain Dabdoub, Koji Nishimura, Takashi Yamamoto, Shizuo Komune, Noritaka Komune, Ryutaro Uchi, Joanna F. Mulvaney, Ryuji Yasumatsu and Albert S.B. Edge. Their work appears in journals such as Brain Research, Hearing Research, The Laryngoscope, PLoS ONE and Developmental Biology.
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.