Reiko Okada
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Psychiatry and Mental health top 5%
- Social Psychology top 10%
- Reproductive Medicine top 5%
- Co-authors
- Solomon L. MoshéBruce J. AlbalaSakaé KikuyamaKazutoshi YamamotoShigeyasu TanakaYasumasa AraiYoichi ItoHiroshi Mochida
- Topics
- Stress Responses and Cortisol (14 papers)Hypothalamic control of reproductive hormones (12 papers)Neuroendocrine regulation and behavior (12 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Reiko Okada
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Cellular and Molecular Neuroscience 654
- Molecular Biology 336
- Psychiatry and Mental health 268
- Social Psychology 170
- Reproductive Medicine 170
Countries citing papers authored by Reiko Okada
This map shows the geographic impact of Reiko Okada'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 Reiko Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reiko Okada more than expected).
Fields of papers citing papers by Reiko Okada
This network shows the impact of papers produced by Reiko Okada. 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 Reiko Okada. The network helps show where Reiko Okada may publish in the future.
Co-authorship network of co-authors of Reiko Okada
This figure shows the co-authorship network connecting the top 25 collaborators of Reiko Okada. A scholar is included among the top collaborators of Reiko Okada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Reiko Okada. Reiko Okada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 19 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 12 | |
| 9 | 44 | |
| 10 | 72 | |
| 11 | 30 | |
| 12 | INVOLVEMENT OF D2 DOPAMINE RECEPTOR SUBTYPE IN INHIBITION OF PROLACTIN RELEASE FROM THE BULLFROG PITUITARY GLAND | 1 |
| 13 | 35 | |
| 14 | Involvement of the corticotropin-releasing factor (CRF) type 2 receptor in CRF-induced thyrotropin release from the tadpole pituitary | 1 |
| 15 | 19 | |
| 16 | 14 | |
| 17 | 33 | |
| 18 | 55 | |
| 19 | EFFECTS OF CRF AND HYPOTHALAMIC EXTRACT ON THE THYROIDSTIMULATING HORMONE β SUBUNIT MRNA EXPRESSION IN THE BULLFROG PITUITARY(Endocrinology)(Proceeding of the Seventy-Third Annual Meeting of the Zoological Society of Japan) : | 1 |
| 20 | 18 |
About Reiko Okada
Reiko Okada is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (14 papers), Hypothalamic control of reproductive hormones (12 papers) and Neuroendocrine regulation and behavior (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (654 citations), Behavioral Neuroscience (125 citations) and Developmental Neuroscience (101 citations). Reiko Okada has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Solomon L. Moshé, Bruce J. Albala, Sakaé Kikuyama, Kazutoshi Yamamoto, Shigeyasu Tanaka, Yasumasa Arai, Yoichi Ito, Hiroshi Mochida, Itaru Hasunuma and Masakazu Suzuki. Their work appears in journals such as Scientific Reports, Brain Research and Endocrinology.
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.