Hideji Yako
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
Papers in
-
- Congenital heart defects research 4
- Physiology 10
- Pain Mechanisms and Treatments 6
- Biochemical effects in animals 3
- Co-authors
- Kazunori Sango (22 shared papers)Naoko Niimi (17 shared papers)Shizuka Takaku (16 shared papers)Saishu Yoshida (14 shared papers)Yukio Kato (15 shared papers)Masashi Higuchi (10 shared papers)Takako Katō (12 shared papers)Naoko Kanno (8 shared papers)
In The Last Decade
Hideji Yako
36 papers receiving 655 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 208
- Developmental Neuroscience 27
- Cancer Research 67
- Cellular and Molecular Neuroscience 84
- Cell Biology 75
Countries citing papers authored by Hideji Yako
This map shows the geographic impact of Hideji Yako'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 Hideji Yako with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideji Yako more than expected).
Fields of papers citing papers by Hideji Yako
This network shows the impact of papers produced by Hideji Yako. 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 Hideji Yako. The network helps show where Hideji Yako may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideji Yako, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 74 | |
| 2 | 2021 | 71 | |
| 3 | 2021 | 48 | |
| 4 | 2013 | 46 | |
| 5 | 2012 | 30 | |
| 6 | 2018 | 25 | |
| 7 | 2017 | 24 | |
| 8 | 2016 | 22 | |
| 9 | 2013 | 22 | |
| 10 | 2022 | 22 | |
| 11 | 2013 | 21 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2018 | 17 | |
| 15 | 2013 | 17 | |
| 16 | 2014 | 17 | |
| 17 | 2013 | 16 | |
| 18 | 2013 | 15 | |
| 19 | 2011 | 13 | |
| 20 | 2022 | 13 |
About Hideji Yako
Hideji Yako is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Cell Biology and Neurology, having authored 41 papers that have together received 657 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Pain Mechanisms and Treatments (6 papers), Nerve injury and regeneration (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Congenital heart defects research (4 papers), Cancer Cells and Metastasis (4 papers), Neuroblastoma Research and Treatments (3 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (208 citations), Developmental Neuroscience (27 citations), Cancer Research (67 citations), Cellular and Molecular Neuroscience (84 citations) and Cell Biology (75 citations). Hideji Yako has collaborated with scholars based in Japan, China and Hong Kong. Frequent co-authors include Kazunori Sango, Naoko Niimi, Shizuka Takaku, Saishu Yoshida, Yukio Kato, Masashi Higuchi, Takako Katō, Naoko Kanno, Mo Chen and T. Kato. Their work appears in journals such as Cell and Tissue Research, International Journal of Molecular Sciences, Journal of Neuroendocrinology, Diabetes and Journal of Reproduction and Development.
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.