Kazushi Okada
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Health, Toxicology and Mutagenesis top 10%
- Cancer Research
- Cell Biology
- Co-authors
- Susumu ImaokaYoshihiko FunaeBao Ting ZhuMasayuki FukuiToyoko HiroiKi Sung KangTakeru NoseYasuyuki Shimohigashi
- Topics
- Receptor Mechanisms and Signaling (10 papers)Neuropeptides and Animal Physiology (9 papers)Hypothalamic control of reproductive hormones (6 papers)
- Journals
- Journal of Biological ChemistryBiochemistryBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Kazushi Okada
35 papers receiving 658 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 329
- Cellular and Molecular Neuroscience 141
- Health, Toxicology and Mutagenesis 134
- Cancer Research 87
- Cell Biology 75
Countries citing papers authored by Kazushi Okada
This map shows the geographic impact of Kazushi 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 Kazushi Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazushi Okada more than expected).
Fields of papers citing papers by Kazushi Okada
This network shows the impact of papers produced by Kazushi 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 Kazushi Okada. The network helps show where Kazushi Okada may publish in the future.
Co-authorship network of co-authors of Kazushi Okada
This figure shows the co-authorship network connecting the top 25 collaborators of Kazushi Okada. A scholar is included among the top collaborators of Kazushi 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 Kazushi Okada. Kazushi 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 | 8 | |
| 2 | 28 | |
| 3 | 6 | |
| 4 | 26 | |
| 5 | 2 | |
| 6 | 99 | |
| 7 | 18 | |
| 8 | 44 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 22 | |
| 12 | 50 | |
| 13 | 13 | |
| 14 | Residual Roles of Hydrophobic Amino Acids in the Fifth Transmembrane Domain of ORL1 Receptor in Its Activation | 2 |
| 15 | Inhibitory effects of environmental chemicals on protein disulfide isomerase in vitro. | 9 |
| 16 | 7 | |
| 17 | 21 | |
| 18 | 68 | |
| 19 | 1 | |
| 20 | The effects of ETB receptor-selective agonist on IOP and blood-aqueous barrier in rabbit eyes: role of cyclooxygenase products. | 7 |
About Kazushi Okada
Kazushi Okada is a scholar working on Reproductive Medicine, Biochemistry and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 662 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (9 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (134 citations), Cellular and Molecular Neuroscience (141 citations) and Pharmacology (65 citations). Kazushi Okada has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Susumu Imaoka, Yoshihiko Funae, Bao Ting Zhu, Masayuki Fukui, Toyoko Hiroi, Ki Sung Kang, Takeru Nose, Yasuyuki Shimohigashi, Mayuko Osada and Tommaso Costa. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.
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.