H. Shibuya
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Psychiatry and Mental health top 10%
- Genetics
- Cognitive Neuroscience
- Co-authors
- Michio ToruHiroki IshiguroTadao ArinamiTakeo YoshikawaMasahiro NankaiYuki OkuyamaAkeo KurumajiEiji Hattori
- Topics
- Neurotransmitter Receptor Influence on Behavior (7 papers)Receptor Mechanisms and Signaling (6 papers)Neuropeptides and Animal Physiology (6 papers)
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
H. Shibuya
30 papers receiving 789 citations
Peers
Comparison fields: 5 of 96
- Cellular and Molecular Neuroscience 464
- Molecular Biology 273
- Psychiatry and Mental health 171
- Genetics 100
- Cognitive Neuroscience 96
Countries citing papers authored by H. Shibuya
This map shows the geographic impact of H. Shibuya'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 H. Shibuya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Shibuya more than expected).
Fields of papers citing papers by H. Shibuya
This network shows the impact of papers produced by H. Shibuya. 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 H. Shibuya. The network helps show where H. Shibuya may publish in the future.
Co-authorship network of co-authors of H. Shibuya
This figure shows the co-authorship network connecting the top 25 collaborators of H. Shibuya. A scholar is included among the top collaborators of H. Shibuya 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 H. Shibuya. H. Shibuya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | GABA‐A受容体α1サブユニット遺伝子(GABRA1)のハプロタイプと気分障害との潜在的関連性 | 1 |
| 3 | 1 | |
| 4 | 38 | |
| 5 | 37 | |
| 6 | 43 | |
| 7 | 139 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 70 | |
| 11 | 29 | |
| 12 | 78 | |
| 13 | 39 | |
| 14 | 170 | |
| 15 | 7 | |
| 16 | 16 | |
| 17 | [Thalamic relay nucleus stimulation for relief of intractable pain. Clinical results and beta-endorphin immunoreactivity in cerebrospinal fluid]. | 3 |
| 18 | [Biochemical analysis of neurotransmitters and receptors in prefrontal cortex of post-mortem brains from schizophrenic patients]. | 1 |
| 19 | Physiological and pharmacological properties of circadian rhythm of tryptophan hydroxylase in rat pineals. | 3 |
| 20 | 4 |
About H. Shibuya
H. Shibuya is a scholar working on Fuel Technology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 31 papers that have together received 814 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Receptor Mechanisms and Signaling (6 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Biological Psychiatry (77 citations), Cellular and Molecular Neuroscience (464 citations) and Psychiatry and Mental health (171 citations). H. Shibuya has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Michio Toru, Hiroki Ishiguro, Tadao Arinami, Takeo Yoshikawa, Masahiro Nankai, Yuki Okuyama, Akeo Kurumaji, Eiji Hattori, K Noda and Hironobu Ichikawa. Their work appears in journals such as Biological Psychiatry, Energy Conversion and Management and Cellular and Molecular Life 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.