Mitsutoshi Yuzurihara
- Pharmacology top 0.5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Behavioral Neuroscience top 1%
- Physiology top 10%
- Co-authors
- Atsushi IshigeHiroshi SasakiYoshio KaseKazushige MizoguchiTakeshi TabiraDehua ChuiYasushi IkarashiYūji Maruyama
- Topics
- Pharmacological Effects of Natural Compounds (18 papers)Stress Responses and Cortisol (14 papers)Tryptophan and brain disorders (10 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Mitsutoshi Yuzurihara
74 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 115
- Pharmacology 639
- Molecular Biology 627
- Cellular and Molecular Neuroscience 505
- Behavioral Neuroscience 467
- Physiology 335
Countries citing papers authored by Mitsutoshi Yuzurihara
This map shows the geographic impact of Mitsutoshi Yuzurihara'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 Mitsutoshi Yuzurihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsutoshi Yuzurihara more than expected).
Fields of papers citing papers by Mitsutoshi Yuzurihara
This network shows the impact of papers produced by Mitsutoshi Yuzurihara. 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 Mitsutoshi Yuzurihara. The network helps show where Mitsutoshi Yuzurihara may publish in the future.
Co-authorship network of co-authors of Mitsutoshi Yuzurihara
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsutoshi Yuzurihara. A scholar is included among the top collaborators of Mitsutoshi Yuzurihara 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 Mitsutoshi Yuzurihara. Mitsutoshi Yuzurihara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 7 | |
| 3 | 19 | |
| 4 | 16 | |
| 5 | 16 | |
| 6 | 33 | |
| 7 | 23 | |
| 8 | 106 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 16 | |
| 12 | 43 | |
| 13 | 143 | |
| 14 | 4 | |
| 15 | 29 | |
| 16 | 7 | |
| 17 | 16 | |
| 18 | 19 | |
| 19 | Pharmacognostical and Pharmacological Evaluations of Uncaria sinensis (Rubiaceae). | 10 |
| 20 | 17 |
About Mitsutoshi Yuzurihara
Mitsutoshi Yuzurihara is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Pharmacology, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (18 papers), Stress Responses and Cortisol (14 papers) and Tryptophan and brain disorders (10 papers). The work is most often cited by research in Behavioral Neuroscience (467 citations), Biological Psychiatry (239 citations) and Pharmacology (639 citations). Mitsutoshi Yuzurihara has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Atsushi Ishige, Hiroshi Sasaki, Yoshio Kase, Kazushige Mizoguchi, Takeshi Tabira, Dehua Chui, Yasushi Ikarashi, Yūji Maruyama, Masaki Aburada and Shuichi Takeda. Their work appears in journals such as Journal of Neuroscience, The Journal of Clinical Endocrinology & Metabolism 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.