H. Shibuya

970 citations
31 papers · 814 indexed · h-index 14

H. Shibuya

30 papers receiving 789 citations

Peers

H. Shibuya
Comparison fields: 5 of 96
  • Biological Psychiatry 77
  • Cellular and Molecular Neuroscience 464
  • Psychiatry and Mental health 171
  • Behavioral Neuroscience 34
  • Cognitive Neuroscience 96
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U. Balling Germany
Helge Neidt Germany
J. Groß Germany
Markus M. N�then Germany
Stephen Morris United States
Luk Ho United Kingdom
Tokutaro Komiyama Japan
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Takafumi Hori Japan
Tatsuyo Suzuki Japan
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Citations per year

Countries citing papers authored by H. Shibuya

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside H. Shibuya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. Shibuya Line = papers co-authored together H. Shibuya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20069
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
20041
3 20041
4 200138
5 200137
6 200143
7 2000139
8 20001
9 199921
10 199970
11 199829
12 199878
13 199139
14 1988170
15 19877
16 198716
17
[Thalamic relay nucleus stimulation for relief of intractable pain. Clinical results and beta-endorphin immunoreactivity in cerebrospinal fluid].
19843
18
[Biochemical analysis of neurotransmitters and receptors in prefrontal cortex of post-mortem brains from schizophrenic patients].
19821
19
Physiological and pharmacological properties of circadian rhythm of tryptophan hydroxylase in rat pineals.
19783
20 19754

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), Neuropeptides and Animal Physiology (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Catalysts for Methane Reforming (2 papers), Diet and metabolism studies (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Crystallization and Solubility Studies (2 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.

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