Yojiro Sakiyama
- Molecular Biology
- Cellular and Molecular Neuroscience
- Computational Theory and Mathematics top 5%
- Physiology top 5%
- Pharmacology
- Co-authors
- Hitomi YukiHinako ToyamaTeruki HonmaTakashi MoriyaKaoru ShimadaKazunari HattoriKentaro HatanoYasuhiro Kawasumi
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)Computational Drug Discovery Methods (4 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Yojiro Sakiyama
21 papers receiving 329 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 126
- Cellular and Molecular Neuroscience 90
- Computational Theory and Mathematics 81
- Physiology 62
- Pharmacology 37
Countries citing papers authored by Yojiro Sakiyama
This map shows the geographic impact of Yojiro Sakiyama'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 Yojiro Sakiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yojiro Sakiyama more than expected).
Fields of papers citing papers by Yojiro Sakiyama
This network shows the impact of papers produced by Yojiro Sakiyama. 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 Yojiro Sakiyama. The network helps show where Yojiro Sakiyama may publish in the future.
Co-authorship network of co-authors of Yojiro Sakiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yojiro Sakiyama. A scholar is included among the top collaborators of Yojiro Sakiyama 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 Yojiro Sakiyama. Yojiro Sakiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | Predicting pharmacokinetic stability by multiple oral administration of atypical antipsychotics. | 7 |
| 3 | 34 | |
| 4 | Prediction of Human Liver Microsomal Stability with Machine Learning. | 1 |
| 5 | 1 | |
| 6 | 72 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 2 | |
| 12 | 48 | |
| 13 | 16 | |
| 14 | 19 | |
| 15 | 2 | |
| 16 | 20 | |
| 17 | 4 | |
| 18 | 8 | |
| 19 | 29 | |
| 20 | 14 |
About Yojiro Sakiyama
Yojiro Sakiyama is a scholar working on Physiology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 21 papers that have together received 334 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Physiology (62 citations), Computational Theory and Mathematics (81 citations) and Cellular and Molecular Neuroscience (90 citations). Yojiro Sakiyama has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hitomi Yuki, Hinako Toyama, Teruki Honma, Takashi Moriya, Kaoru Shimada, Kazunari Hattori, Kentaro Hatano, Yasuhiro Kawasumi, Takashi Kato and Kengo Ito. Their work appears in journals such as Experimental Brain Research, Neuropharmacology and Digestive Diseases and Sciences.
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.