Tadashi Shiotani
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- Neuroscience and Neuropharmacology Research 30
- Neuropeptides and Animal Physiology 4
- Developmental Neuroscience top 10%
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases 11
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms 9
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- Nicotinic Acetylcholine Receptors Study 6
- Ion channel regulation and function 5
- Receptor Mechanisms and Signaling 5
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- Molecular Sensors and Ion Detection 2
- Co-authors
- Shigeo WatabeMitsunobu YoshiiToshitaka NabeshimaTsutomu KameyamaTamotsu NomuraTomoyuki NishizakiTakayoshi MamiyaTomoko Tanaka
- Journals
- Brain Research (4 papers)Annals of the New York Academy of Sciences (2 papers)Journal of Neurochemistry (1 paper)
- Partner nations
- JapanIrelandUnited States
In The Last Decade
Tadashi Shiotani
32 papers receiving 526 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 353
- Developmental Neuroscience 41
- Pharmacology 156
- Cognitive Neuroscience 111
- Neurology 46
Countries citing papers authored by Tadashi Shiotani
This map shows the geographic impact of Tadashi Shiotani'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 Tadashi Shiotani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Shiotani more than expected).
Fields of papers citing papers by Tadashi Shiotani
This network shows the impact of papers produced by Tadashi Shiotani. 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 Tadashi Shiotani. The network helps show where Tadashi Shiotani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tadashi Shiotani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 3 | |
| 2 | 2004 | 2 | |
| 3 | 2003 | 2 | |
| 4 | 2002 | 3 | |
| 5 | 2000 | 18 | |
| 6 | 2000 | 16 | |
| 7 | 2000 | 15 | |
| 8 | 2000 | 34 | |
| 9 | 1999 | 36 | |
| 10 | 1999 | 81 | |
| 11 | 1998 | 31 | |
| 12 | 1998 | 44 | |
| 13 | 1997 | 19 | |
| 14 | 1996 | 18 | |
| 15 | 1994 | 30 | |
| 16 | 1993 | 25 | |
| 17 | 1992 | 29 | |
| 18 | 1992 | 11 | |
| 19 | 1992 | 7 | |
| 20 | Effects of DM-9384 and aniracetam on learning in normal and basal forebrain-lesioned rats | 1991 | 11 |
About Tadashi Shiotani
Tadashi Shiotani is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Developmental Neuroscience, having authored 32 papers that have together received 544 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (30 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Memory and Neural Mechanisms (9 papers), Nicotinic Acetylcholine Receptors Study (6 papers), Ion channel regulation and function (5 papers), Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (4 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (353 citations), Developmental Neuroscience (41 citations) and Pharmacology (156 citations). Tadashi Shiotani has collaborated with scholars based in Japan, Ireland and United States. Frequent co-authors include Shigeo Watabe, Mitsunobu Yoshii, Toshitaka Nabeshima, Tsutomu Kameyama, Tamotsu Nomura, Tomoyuki Nishizaki, Takayoshi Mamiya, Tomoko Tanaka, Toshiyuki Matsuoka and Katumi Sumikawa. Their work appears in journals such as Brain Research, Annals of the New York Academy of Sciences and Journal of Neurochemistry.
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.