Satoshi Kurumiya
- Biological Psychiatry top 10%
- Behavioral Neuroscience top 10%
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- Neurotransmitter Receptor Influence on Behavior 7
- Neuroscience and Neuropharmacology Research 3
- Neuropeptides and Animal Physiology 2
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin 2
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- Mitochondrial Function and Pathology 2
- Receptor Mechanisms and Signaling 2
- Photosynthetic Processes and Mechanisms 2
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- Synthesis and pharmacology of benzodiazepine derivatives 1
- Co-authors
- Shinshu NakajimaHiroshi KawamuraMakoto OkaTomoko KinoshitaAtsuko KitaKiyoshi FurukawaYuichi FujitaKatsuo Furukawa
- Journals
- Brain Research (1 paper)Journal of Pharmacology and Experimental Therapeutics (2 papers)British Journal of Pharmacology (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Satoshi Kurumiya
13 papers receiving 393 citations
Peers
Comparison fields: 5 of 76
- Biological Psychiatry 31
- Behavioral Neuroscience 43
- Cellular and Molecular Neuroscience 204
- Endocrine and Autonomic Systems 62
- Developmental Neuroscience 20
Countries citing papers authored by Satoshi Kurumiya
This map shows the geographic impact of Satoshi Kurumiya'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 Satoshi Kurumiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Kurumiya more than expected).
Fields of papers citing papers by Satoshi Kurumiya
This network shows the impact of papers produced by Satoshi Kurumiya. 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 Satoshi Kurumiya. The network helps show where Satoshi Kurumiya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Satoshi Kurumiya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 15 | |
| 2 | 2009 | 38 | |
| 3 | 2004 | 114 | |
| 4 | 1993 | 48 | |
| 5 | 1993 | 22 | |
| 6 | 1991 | 16 | |
| 7 | 1990 | 25 | |
| 8 | General pharmacology of recombinant human tumor necrosis factor. 2nd communication: effects on central nervous system functions. | 1990 | 5 |
| 9 | 1988 | 51 | |
| 10 | 1988 | 48 | |
| 11 | 1986 | 9 | |
| 12 | 1984 | 6 | |
| 13 | 1981 | 1 |
About Satoshi Kurumiya
Satoshi Kurumiya is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Physiology, having authored 13 papers that have together received 398 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroscience and Neuropharmacology Research (3 papers), Mitochondrial Function and Pathology (2 papers), Circadian rhythm and melatonin (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuropeptides and Animal Physiology (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Synthesis and pharmacology of benzodiazepine derivatives (1 paper). The work is most often cited by research in Biological Psychiatry (31 citations), Behavioral Neuroscience (43 citations) and Cellular and Molecular Neuroscience (204 citations). Satoshi Kurumiya has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shinshu Nakajima, Hiroshi Kawamura, Makoto Oka, Tomoko Kinoshita, Atsuko Kita, Kiyoshi Furukawa, Yuichi Fujita, Katsuo Furukawa, Yukihiro Noda and Yoshiki Miura. Their work appears in journals such as Brain Research, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.
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.