Katsuo Toide
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Oncology top 10%
- Physiology
- Pharmacology top 10%
- Co-authors
- Masahiko ShinodaYohko IwamotoTakako FujiwaraKazuhiro OkamiyaTakashi ArimaHiroko AbeTakeshi KatoAkira Miyazaki
- Topics
- Neuropeptides and Animal Physiology (16 papers)Peptidase Inhibition and Analysis (9 papers)Neuroscience and Neuropharmacology Research (7 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsJournal of NeurochemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- JapanUnited States
In The Last Decade
Katsuo Toide
35 papers receiving 809 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 561
- Molecular Biology 412
- Oncology 366
- Physiology 137
- Pharmacology 104
Countries citing papers authored by Katsuo Toide
This map shows the geographic impact of Katsuo Toide'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 Katsuo Toide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuo Toide more than expected).
Fields of papers citing papers by Katsuo Toide
This network shows the impact of papers produced by Katsuo Toide. 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 Katsuo Toide. The network helps show where Katsuo Toide may publish in the future.
Co-authorship network of co-authors of Katsuo Toide
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuo Toide. A scholar is included among the top collaborators of Katsuo Toide 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 Katsuo Toide. Katsuo Toide is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 36 | |
| 3 | 2 | |
| 4 | 29 | |
| 5 | 12 | |
| 6 | 14 | |
| 7 | 24 | |
| 8 | 25 | |
| 9 | 34 | |
| 10 | 40 | |
| 11 | 55 | |
| 12 | 2 | |
| 13 | 35 | |
| 14 | 20 | |
| 15 | 69 | |
| 16 | 103 | |
| 17 | 42 | |
| 18 | 14 | |
| 19 | 68 | |
| 20 | General pharmacological properties of UFT, a new type of anti-cancer agent consisting of 1-(2-tetrahydrofuryl)-5-fluorouracil (FT) and uracil. I: Pharmacological analysis of the combined effect of FT and uracil. | 6 |
About Katsuo Toide
Katsuo Toide is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Physiology, having authored 35 papers that have together received 827 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Peptidase Inhibition and Analysis (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (561 citations), Oncology (366 citations) and Behavioral Neuroscience (41 citations). Katsuo Toide has collaborated with scholars based in Japan and United States. Frequent co-authors include Masahiko Shinoda, Yohko Iwamoto, Takako Fujiwara, Kazuhiro Okamiya, Takashi Arima, Hiroko Abe, Takeshi Kato, Akira Miyazaki, Akira Matsuo and Ikuroh Ohsawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Neurochemistry and Journal of Pharmacology and Experimental Therapeutics.
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.