Shigeo Daikoku
- Cellular and Molecular Neuroscience top 1%
- Endocrine and Autonomic Systems top 0.5%
- Reproductive Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Social Psychology top 1%
- Co-authors
- Hitoshi KawanoSetsuji HisanoYoshihiro TsuruoYuichi WatanabeYasuaki KagotaniYoshihito OkamuraKazuo ChiharaTohru Adachi
- Topics
- Hypothalamic control of reproductive hormones (30 papers)Neuropeptides and Animal Physiology (28 papers)Neuroendocrine regulation and behavior (27 papers)
In The Last Decade
Shigeo Daikoku
122 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 95
- Cellular and Molecular Neuroscience 1.2k
- Endocrine and Autonomic Systems 1.2k
- Reproductive Medicine 1.0k
- Endocrinology, Diabetes and Metabolism 899
- Social Psychology 800
Countries citing papers authored by Shigeo Daikoku
This map shows the geographic impact of Shigeo Daikoku'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 Shigeo Daikoku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeo Daikoku more than expected).
Fields of papers citing papers by Shigeo Daikoku
This network shows the impact of papers produced by Shigeo Daikoku. 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 Shigeo Daikoku. The network helps show where Shigeo Daikoku may publish in the future.
Co-authorship network of co-authors of Shigeo Daikoku
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeo Daikoku. A scholar is included among the top collaborators of Shigeo Daikoku 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 Shigeo Daikoku. Shigeo Daikoku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 18 | |
| 3 | 9 | |
| 4 | 12 | |
| 5 | 69 | |
| 6 | 29 | |
| 7 | 48 | |
| 8 | 12 | |
| 9 | 14 | |
| 10 | 9 | |
| 11 | 92 | |
| 12 | 16 | |
| 13 | 10 | |
| 14 | 69 | |
| 15 | 54 | |
| 16 | 20 | |
| 17 | 44 | |
| 18 | Ultrastructural Studies on the Developing Hypothalamo-Hypophysial Axis : In Vivo and In Vitro Experiments | 2 |
| 19 | Studies on the human foetal pituitary 2.On the from and histological development,especially that of the anterior pituitary | 7 |
| 20 | Studies on the human foetal pituitary 1.Quantitative observations | 4 |
About Shigeo Daikoku
Shigeo Daikoku is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Reproductive Medicine, having authored 123 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (30 papers), Neuropeptides and Animal Physiology (28 papers) and Neuroendocrine regulation and behavior (27 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Behavioral Neuroscience (547 citations) and Reproductive Medicine (1.0k citations). Shigeo Daikoku has collaborated with scholars based in Japan, Spain and China. Frequent co-authors include Hitoshi Kawano, Setsuji Hisano, Yoshihiro Tsuruo, Yuichi Watanabe, Yasuaki Kagotani, Yoshihito Okamura, Kazuo Chihara, Tohru Adachi, Shinsuke Katoh and Shiro Saito. Their work appears in journals such as The Journal of Comparative Neurology, 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.