Akira Arimura
- Reproductive Medicine top 0.01%
- Hypothalamic control of reproductive hormones 158
- Cellular and Molecular Neuroscience top 0.01%
- Neuropeptides and Animal Physiology 191
- Behavioral Neuroscience top 0.05%
- Stress Responses and Cortisol 69
- Endocrine and Autonomic Systems top 0.05%
- Endocrinology, Diabetes and Metabolism top 0.05%
- Growth Hormone and Insulin-like Growth Factors 185
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- Receptor Mechanisms and Signaling 81
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- Neuroendocrine regulation and behavior 48
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 43
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- Neuroendocrine Tumor Research Advances 38
- Co-authors
- Andrew V. SchallyPaul E. GottschallDavid H. CoyAnikó Somogyvári-VighAtsuro MiyataTommie W. ReddingKatalin KövesAkira Uehara
- Journals
- Endocrinology (97 papers)Peptides (46 papers)Annals of the New York Academy of Sciences (38 papers)
- Partner nations
- United StatesJapanHungary
In The Last Decade
Akira Arimura
543 papers receiving 28.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Reproductive Medicine 9.0k
- Cellular and Molecular Neuroscience 15.1k
- Behavioral Neuroscience 2.9k
- Endocrine and Autonomic Systems 3.9k
- Endocrinology, Diabetes and Metabolism 7.4k
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 | 1999 | 88 | |
| 2 | DISTRIBUTION OF PITUITARY ADENYLATE CYCLASE ACTIVATING POLYPEPTIDE(PACAP) MRNA IN THE BRAIN OF A TELEOST, STARGAZER(Endocrinology)Proceedings of the Seventy-First Annual Meeting of the Zoological Society of Japan | 1999 | 3 |
| 3 | DISTRIBUTION AND ISOLATION OF PACAP-LIKE PEPTIDE IN THE BRAIN OF TELEOST, GNATHAGNUS ELONGATUS | 1996 | 1 |
| 4 | Suppression of testicular activity by a GnRH agonist in hypophysectomized, gonadotropin-treated mice. | 1989 | 2 |
| 5 | 1985 | 50 | |
| 6 | 1984 | 25 | |
| 7 | Somatostatin antiserum antagonizes the impaired ability of hpGRF-40 to stimulate growth hormone release in old unanesthetized male rats | 1984 | 12 |
| 8 | 1978 | 142 | |
| 9 | Correlation between in vivo inhibition of gonadotropin release induced by LH-RH and the blockade of ovulation by synthetic analogues of LH-RH. | 1978 | 5 |
| 10 | Immunoreactive somatostatin levels in hypophyseal portal blood of rats anesthetized with urethane, pentobarbital or althesin | 1978 | 1 |
| 11 | 1976 | 9 | |
| 12 | Classic pages in obstetrics and gynecology. Structure of the porcine LH-and FSH-releasing hormone. I. The proposed amino acid sequence. Biochemical and Biophysical Research Communications, vol. 43, pp. 1334-1339, 1971. | 1976 | 3 |
| 13 | Proceedings: Studies on gastric D cell pathology. | 1976 | 17 |
| 14 | Isolation of porcine GH release inhibiting hormone (GH RIH): the existence of 3 forms of GH RIH | 1975 | 12 |
| 15 | High gonadotropin releasing activity of two super active and long lasting analogues of luteinizing hormone releasing hormone after subcutaneous, oral, and vaginal administration | 1975 | 3 |
| 16 | Effect of actinomycin D on the pituitary response to LH RH | 1975 | 1 |
| 17 | Inhibition of prolactin release in vitro and in vivo by catecholamines | 1974 | 9 |
| 18 | Production of antiserum to LH releasing hormone (LH RH) and development of radioimmunoassay for LH RH | 1973 | 1 |
| 19 | In vitro assay for growth hormone releasing hormone using pituitary cell suspension | 1973 | 1 |
| 20 | Luteotrophic and luteolytic effects of prolactin in hypophysectomized rats. | 1970 | 1 |
About Akira Arimura
Akira Arimura is a scholar working on Reproductive Medicine, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 552 papers that have together received 30.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (191 papers), Growth Hormone and Insulin-like Growth Factors (185 papers), Hypothalamic control of reproductive hormones (158 papers), Receptor Mechanisms and Signaling (81 papers), Stress Responses and Cortisol (69 papers), Neuroendocrine regulation and behavior (48 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (43 papers) and Neuroendocrine Tumor Research Advances (38 papers). The work is most often cited by research in Reproductive Medicine (9.0k citations), Cellular and Molecular Neuroscience (15.1k citations), Behavioral Neuroscience (2.9k citations), Endocrine and Autonomic Systems (3.9k citations) and Endocrinology, Diabetes and Metabolism (7.4k citations). Akira Arimura has collaborated with scholars based in United States, Japan and Hungary. Frequent co-authors include Andrew V. Schally, Paul E. Gottschall, David H. Coy, Anikó Somogyvári-Vigh, Atsuro Miyata, Tommie W. Redding, Katalin Köves, Akira Uehara, Seiji Shioda and Abba J. Kastin. Their work appears in journals such as Endocrinology, Peptides, Annals of the New York Academy of Sciences, Biochemical and Biophysical Research Communications and Regulatory Peptides.
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.