Toraichi Mouri
- Cellular and Molecular Neuroscience top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Behavioral Neuroscience top 0.5%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Kazuhiro TakahashiKazuhito TotsuneMasahiko SoneOsamu MurakamiFumitoshi SatohToshihiro SudaMakoto OhnedaFUMIKO TOZAWA
- Topics
- Neuropeptides and Animal Physiology (28 papers)Receptor Mechanisms and Signaling (16 papers)Pituitary Gland Disorders and Treatments (15 papers)
- Cited by
- Behavioral NeuroscienceEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanPakistanUnited States
In The Last Decade
Toraichi Mouri
75 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 769
- Endocrinology, Diabetes and Metabolism 723
- Molecular Biology 664
- Behavioral Neuroscience 637
- Endocrine and Autonomic Systems 388
Countries citing papers authored by Toraichi Mouri
This map shows the geographic impact of Toraichi Mouri'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 Toraichi Mouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toraichi Mouri more than expected).
Fields of papers citing papers by Toraichi Mouri
This network shows the impact of papers produced by Toraichi Mouri. 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 Toraichi Mouri. The network helps show where Toraichi Mouri may publish in the future.
Co-authorship network of co-authors of Toraichi Mouri
This figure shows the co-authorship network connecting the top 25 collaborators of Toraichi Mouri. A scholar is included among the top collaborators of Toraichi Mouri 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 Toraichi Mouri. Toraichi Mouri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 86 | |
| 2 | 25 | |
| 3 | 71 | |
| 4 | 52 | |
| 5 | 12 | |
| 6 | 33 | |
| 7 | 14 | |
| 8 | 29 | |
| 9 | 39 | |
| 10 | 13 | |
| 11 | 23 | |
| 12 | 26 | |
| 13 | 49 | |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 93 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 27 | |
| 20 | 13 |
About Toraichi Mouri
Toraichi Mouri is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (28 papers), Receptor Mechanisms and Signaling (16 papers) and Pituitary Gland Disorders and Treatments (15 papers). The work is most often cited by research in Behavioral Neuroscience (637 citations), Endocrine and Autonomic Systems (388 citations) and Endocrinology, Diabetes and Metabolism (723 citations). Toraichi Mouri has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Kazuhiro Takahashi, Kazuhito Totsune, Masahiko Sone, Osamu Murakami, Fumitoshi Satoh, Toshihiro Suda, Makoto Ohneda, FUMIKO TOZAWA, KAZUO SHIZUME and Hiroshi Demura. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research and FEBS Letters.
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.