Takashi Tashiro
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Surgery
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Takahiro SatodaNoboru MizunoRyotaro MatsushimaToshiaki SanoM.A. RudaShogo KawamuraShozo YamadaMitsuyoshi Hirokawa
- Topics
- Hydrology and Sediment Transport Processes (12 papers)Neuropeptides and Animal Physiology (8 papers)Fish Ecology and Management Studies (8 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismThe Journal of Comparative NeurologyBrain Research
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takashi Tashiro
76 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 221
- Molecular Biology 215
- Surgery 207
- Physiology 194
- Endocrinology, Diabetes and Metabolism 151
Countries citing papers authored by Takashi Tashiro
This map shows the geographic impact of Takashi Tashiro'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 Takashi Tashiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Tashiro more than expected).
Fields of papers citing papers by Takashi Tashiro
This network shows the impact of papers produced by Takashi Tashiro. 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 Takashi Tashiro. The network helps show where Takashi Tashiro may publish in the future.
Co-authorship network of co-authors of Takashi Tashiro
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Tashiro. A scholar is included among the top collaborators of Takashi Tashiro 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 Takashi Tashiro. Takashi Tashiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 58 | |
| 10 | 20 | |
| 11 | A data transfer implementation on media processor MAPCA | 1 |
| 12 | 52 | |
| 13 | 4 | |
| 14 | 27 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 18 | |
| 18 | 41 | |
| 19 | 5 | |
| 20 | 22 |
About Takashi Tashiro
Takashi Tashiro is a scholar working on Cellular and Molecular Neuroscience, Soil Science and Nature and Landscape Conservation, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hydrology and Sediment Transport Processes (12 papers), Neuropeptides and Animal Physiology (8 papers) and Fish Ecology and Management Studies (8 papers). The work is most often cited by research in Sensory Systems (61 citations), Cellular and Molecular Neuroscience (221 citations) and Neurology (79 citations). Takashi Tashiro has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takahiro Satoda, Noboru Mizuno, Ryotaro Matsushima, Toshiaki Sano, M.A. Ruda, Shogo Kawamura, Shozo Yamada, Mitsuyoshi Hirokawa, Tetsuro Tsujimoto and Shingo Wakatsuki. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Comparative Neurology and Brain Research.
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.