Sayaka Oki
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
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- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 3
- Glycosylation and Glycoproteins Research 1
- S100 Proteins and Annexins 1
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- Neuropeptides and Animal Physiology 3
- Co-authors
- Yuta Nakai (6 shared papers)Hiroo Imura (5 shared papers)Kazuwa Nakao (4 shared papers)Kenji Horii (1 shared paper)Tsunenori Koga (1 shared paper)Kenji Yoshino (1 shared paper)Tetsuro Konishi (1 shared paper)H Nishitani (1 shared paper)
In The Last Decade
Sayaka Oki
13 papers receiving 284 citations
Peers
Comparison fields: 5 of 71
- Behavioral Neuroscience 46
- Cellular and Molecular Neuroscience 166
- Endocrine and Autonomic Systems 28
- Anesthesiology and Pain Medicine 18
- Endocrinology, Diabetes and Metabolism 51
Countries citing papers authored by Sayaka Oki
This map shows the geographic impact of Sayaka Oki'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 Sayaka Oki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayaka Oki more than expected).
Fields of papers citing papers by Sayaka Oki
This network shows the impact of papers produced by Sayaka Oki. 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 Sayaka Oki. The network helps show where Sayaka Oki may publish in the future.
Co-authors
The 25 scholars most cited alongside Sayaka Oki, 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 | 1978 | 117 | |
| 2 | 1980 | 64 | |
| 3 | 2011 | 34 | |
| 4 | 1983 | 29 | |
| 5 | 2021 | 20 | |
| 6 | 1981 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2017 | 6 | |
| 9 | 1984 | 6 | |
| 10 | 2023 | 3 | |
| 11 | Biosynthesis and distribution of ACTH and related peptides. | 1981 | 3 |
| 12 | 2023 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2019 | 0 | |
| 15 | 2019 | 0 |
About Sayaka Oki
Sayaka Oki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Cell Biology and Pharmacology, having authored 15 papers that have together received 306 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Media, Gender, and Advertising (1 paper), S100 Proteins and Annexins (1 paper), Hormonal and reproductive studies (1 paper) and Folklore, Mythology, and Literature Studies (1 paper). The work is most often cited by research in Behavioral Neuroscience (46 citations), Cellular and Molecular Neuroscience (166 citations), Endocrine and Autonomic Systems (28 citations), Anesthesiology and Pain Medicine (18 citations) and Endocrinology, Diabetes and Metabolism (51 citations). Sayaka Oki has collaborated with scholars based in Japan, Brazil and Belgium. Frequent co-authors include Yuta Nakai, Hiroo Imura, Kazuwa Nakao, Kenji Horii, Tsunenori Koga, Kenji Yoshino, Tetsuro Konishi, H Nishitani, Kenichi Masui and T Yoshimasa. Their work appears in journals such as Journal of Cardiovascular Development and Disease, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Peptides and Journal of Clinical Investigation.
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.