T. Shibasaki
- Behavioral Neuroscience top 1%
- Endocrine and Autonomic Systems top 2%
- Cellular and Molecular Neuroscience top 5%
- Social Psychology top 5%
- Physiology top 10%
- Co-authors
- Hiroshi DemuraM. HottaToshihiro ImakiF E BloomJean RossierRoger GuilleminKanji SatoNaoko Yamauchi
- Topics
- Stress Responses and Cortisol (15 papers)Neuropeptides and Animal Physiology (8 papers)Neuroendocrine regulation and behavior (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationBrain Research
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
T. Shibasaki
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Behavioral Neuroscience 519
- Endocrine and Autonomic Systems 347
- Cellular and Molecular Neuroscience 346
- Social Psychology 327
- Physiology 268
Countries citing papers authored by T. Shibasaki
This map shows the geographic impact of T. Shibasaki'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 T. Shibasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Shibasaki more than expected).
Fields of papers citing papers by T. Shibasaki
This network shows the impact of papers produced by T. Shibasaki. 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 T. Shibasaki. The network helps show where T. Shibasaki may publish in the future.
Co-authorship network of co-authors of T. Shibasaki
This figure shows the co-authorship network connecting the top 25 collaborators of T. Shibasaki. A scholar is included among the top collaborators of T. Shibasaki 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 T. Shibasaki. T. Shibasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 20 | |
| 3 | 37 | |
| 4 | 57 | |
| 5 | 38 | |
| 6 | 10 | |
| 7 | 113 | |
| 8 | 104 | |
| 9 | 42 | |
| 10 | 80 | |
| 11 | 116 | |
| 12 | 146 | |
| 13 | 8 | |
| 14 | 86 | |
| 15 | 30 | |
| 16 | 8 | |
| 17 | 8 | |
| 18 | 60 | |
| 19 | Distribution of neuropeptides in the hypothalamo-hypophyseal system in the rat: an immunohistochemical observation. | 5 |
| 20 | 85 |
About T. Shibasaki
T. Shibasaki is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (15 papers), Neuropeptides and Animal Physiology (8 papers) and Neuroendocrine regulation and behavior (7 papers). The work is most often cited by research in Behavioral Neuroscience (519 citations), Endocrine and Autonomic Systems (347 citations) and Biological Psychiatry (94 citations). T. Shibasaki has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Hiroshi Demura, M. Hotta, Toshihiro Imaki, F E Bloom, Jean Rossier, Roger Guillemin, Kanji Sato, Naoko Yamauchi, Hideki Kuriyama and T Fujioka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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.