Akira Arimura
Impact in
- Reproductive Medicine top 0.01%
- Hypothalamic control of reproductive hormones
- Cellular and Molecular Neuroscience top 0.01%
- Neuropeptides and Animal Physiology
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 185
-
- Neuropeptides and Animal Physiology 191
- Co-authors
- Andrew V. Schally (231 shared papers)Paul E. Gottschall (28 shared papers)David H. Coy (29 shared papers)Anikó Somogyvári-Vigh (30 shared papers)Atsuro Miyata (15 shared papers)Tommie W. Redding (33 shared papers)Katalin Köves (35 shared papers)Akira Uehara (6 shared papers)
- Journals
- Endocrinology (97 papers)Peptides (46 papers)Annals of the New York Academy of Sciences (38 papers)Biochemical and Biophysical Research Communications (34 papers)Regulatory Peptides (27 papers)
- Partner nations
- United StatesJapanHungary
In The Last Decade
Akira Arimura
543 papers receiving 28.4k citations
Akira Arimura's 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-authors
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
Showing the 20 most-cited of 552 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Isolation of a novel 38 residue-hypothalamic polypeptide which stimulates adenylate cyclase in pituitary cells Hit paper breakdown → | 1989 | 1620 |
| 2 | Structure of the porcine LH- and FSH-releasing hormone. I. The proposed amino acid sequence Hit paper breakdown → | 1971 | 835 |
| 3 | Isolation of a neuropeptide corresponding to the N-terminal 27 residues of the pituitary adenylate cyclase activating polypeptide with 38 residues (PACAP38) Hit paper breakdown → | 1990 | 823 |
| 4 | Immunohistochemical evidence for separate populations of somatostatin-containing and substance P-containing primary afferent neurons in the rat Hit paper breakdown → | 1976 | 630 |
| 5 | Tissue Distribution of PACAP as Determined by RIA: Highly Abundant in the Rat Brain and Testes Hit paper breakdown → | 1991 | 536 |
| 6 | Gonadotropin-Releasing Hormone: One Polypeptide Regulates Secretion of Luteinizing and Follicle-Stimulating Hormones Hit paper breakdown → | 1971 | 522 |
| 7 | The Regional Distribution of Somatostatin in the Rat Brain Hit paper breakdown → | 1975 | 499 |
| 8 | 1998 | 445 | |
| 9 | Isolation and properties of the FSH and LH-releasing hormone Hit paper breakdown → | 1971 | 437 |
| 10 | 1992 | 413 | |
| 11 | Hypothalamic Regulatory Hormones Hit paper breakdown → | 1973 | 408 |
| 12 | GROWTH-HORMONE RELEASE-INHIBITING HORMONE IN GASTROINTESTINAL AND PANCREATIC D CELLS Hit paper breakdown → | 1975 | 400 |
| 13 | Somatostatin: Abundance of Immunoreactive Hormone in Rat Stomach and Pancreas Hit paper breakdown → | 1975 | 396 |
| 14 | CELLULAR LOCALIZATION OF SOMATOSTATIN IN ENDOCRINE-LIKE CELLS AND NEURONS OF THE RAT WITH SPECIAL REFERENCES TO THE A1-CELLS OF THE PANCREATIC ISLETS AND TO THE HYPOTHALAMUS Hit paper breakdown → | 1975 | 381 |
| 15 | 1995 | 332 | |
| 16 | 1991 | 289 | |
| 17 | 1987 | 285 | |
| 18 | 1990 | 284 | |
| 19 | 1990 | 277 | |
| 20 | 1998 | 226 |
About Akira Arimura
Akira Arimura is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Reproductive Medicine, Molecular Biology and Surgery, 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.