Akira Arimura
- Behavioral Neuroscience top 5%
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- Neuropeptides and Animal Physiology 11
- Endocrine and Autonomic Systems top 10%
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones 4
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- Receptor Mechanisms and Signaling 11
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 2
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- Neuroendocrine regulation and behavior 2
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- Neonatal and fetal brain pathology 1
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- Peptidase Inhibition and Analysis 1
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- Biochemical effects in animals 1
- Co-authors
- Goro KatsuuraPaul E. GottschallIllana GozesSunil P. SreedharanStephen R. RawlingsStephen A. WankJoseph R. PisegnaAnthony J. Harmar
- Journals
- Brain Research (3 papers)Biochemical and Biophysical Research Communications (2 papers)Pharmacological Reviews (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Akira Arimura
15 papers receiving 627 citations
Peers
Comparison fields: 5 of 67
- Behavioral Neuroscience 89
- Cellular and Molecular Neuroscience 432
- Endocrine and Autonomic Systems 88
- Reproductive Medicine 109
- Biological Psychiatry 24
Countries citing papers authored by Akira Arimura
This map shows the geographic impact of Akira Arimura'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 Akira Arimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Arimura more than expected).
Fields of papers citing papers by Akira Arimura
This network shows the impact of papers produced by Akira Arimura. 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 Akira Arimura. The network helps show where Akira Arimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Arimura, 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 | 2006 | 0 | |
| 2 | 2006 | 6 | |
| 3 | 2001 | 23 | |
| 4 | 2000 | 2 | |
| 5 | 2000 | 36 | |
| 6 | 2000 | 7 | |
| 7 | 2000 | 39 | |
| 8 | 1998 | 267 | |
| 9 | 1997 | 44 | |
| 10 | 1997 | 13 | |
| 11 | 1994 | 23 | |
| 12 | 1991 | 7 | |
| 13 | 1991 | 6 | |
| 14 | 1990 | 11 | |
| 15 | 1988 | 139 | |
| 16 | 1973 | 17 |
About Akira Arimura
Akira Arimura is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 16 papers that have together received 640 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (11 papers), Hypothalamic control of reproductive hormones (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Neuroendocrine regulation and behavior (2 papers), Neonatal and fetal brain pathology (1 paper), Peptidase Inhibition and Analysis (1 paper) and Biochemical effects in animals (1 paper). The work is most often cited by research in Behavioral Neuroscience (89 citations), Cellular and Molecular Neuroscience (432 citations) and Endocrine and Autonomic Systems (88 citations). Akira Arimura has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Goro Katsuura, Paul E. Gottschall, Illana Gozes, Sunil P. Sreedharan, Stephen R. Rawlings, Stephen A. Wank, Joseph R. Pisegna, Anthony J. Harmar, Marc Laburthe and Sami I. Said. Their work appears in journals such as Brain Research, Biochemical and Biophysical Research Communications and Pharmacological Reviews.
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.