Reiko Yanai
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Oncology
- Molecular Biology
- Reproductive Medicine top 10%
- Co-authors
- Hiroshi NagasawaH. NagasawaSakaé KikuyamaHisashi TaniguchiKorehito YamanouchiWaro NakaharaReiko TokuzenKazuo Kuretani
- Topics
- Growth Hormone and Insulin-like Growth Factors (33 papers)Estrogen and related hormone effects (23 papers)Cancer Cells and Metastasis (10 papers)
- Journals
- JNCI Journal of the National Cancer InstituteInternational Journal of CancerCellular and Molecular Life Sciences
- Partner nations
- United KingdomJapanCzechia
In The Last Decade
Reiko Yanai
76 papers receiving 731 citations
Peers
Comparison fields: 5 of 91
- Genetics 312
- Endocrinology, Diabetes and Metabolism 211
- Oncology 170
- Molecular Biology 163
- Reproductive Medicine 94
Countries citing papers authored by Reiko Yanai
This map shows the geographic impact of Reiko Yanai'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 Yanai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reiko Yanai more than expected).
Fields of papers citing papers by Reiko Yanai
This network shows the impact of papers produced by Reiko Yanai. 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 Yanai. The network helps show where Reiko Yanai may publish in the future.
Co-authorship network of co-authors of Reiko Yanai
This figure shows the co-authorship network connecting the top 25 collaborators of Reiko Yanai. A scholar is included among the top collaborators of Reiko Yanai 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 Yanai. Reiko Yanai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | Lack of relationship between prolactin binding and growth rate of carcinogen-induced mammary tumors or circulating levels of mammotropic hormones in rats. | 1 |
| 4 | Development and growth of pregnancy-dependent and -independent mammary tumors in GR/A strain of mice and their interrelationship. | 3 |
| 5 | 1 | |
| 6 | Suppression by Nocardia rubra cell wall skeleton mammary DNA synthesis, plasma prolactin level, and spontaneous mammary tumorigenesis in mice. | 7 |
| 7 | Normal and abnormal growth of the mammary gland. | 1 |
| 8 | 8 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | 28 | |
| 12 | 53 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 22 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 8 | |
| 20 | 5 |
About Reiko Yanai
Reiko Yanai is a scholar working on Endocrinology, Diabetes and Metabolism, Microbiology and Genetics, having authored 81 papers that have together received 871 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (33 papers), Estrogen and related hormone effects (23 papers) and Cancer Cells and Metastasis (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (211 citations), Genetics (312 citations) and Reproductive Medicine (94 citations). Reiko Yanai has collaborated with scholars based in United Kingdom, Japan and Czechia. Frequent co-authors include Hiroshi Nagasawa, H. Nagasawa, Sakaé Kikuyama, Hisashi Taniguchi, Korehito Yamanouchi, Waro Nakahara, Reiko Tokuzen, Kazuo Kuretani, Yuko Nakajima and Junichi MORI. Their work appears in journals such as JNCI Journal of the National Cancer Institute, International Journal of Cancer and Cellular and Molecular Life Sciences.
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.