Chika Kaneko
- Genetics top 2%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Reproductive Medicine top 2%
- Pulmonary and Respiratory Medicine
- Co-authors
- Hironobu SasanoTakashi SuzukiTakuya MoriyaAndrew D. DarnelJunji TakeyamaTaisuke NakataJun‐ichi AkahiraKazuhiro Takahashi
- Topics
- Estrogen and related hormone effects (13 papers)Hormonal Regulation and Hypertension (5 papers)Steroid Chemistry and Biochemistry (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismClinical Cancer ResearchBritish Journal of Cancer
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Chika Kaneko
25 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Genetics 756
- Molecular Biology 512
- Endocrinology, Diabetes and Metabolism 490
- Reproductive Medicine 257
- Pulmonary and Respiratory Medicine 185
Countries citing papers authored by Chika Kaneko
This map shows the geographic impact of Chika Kaneko'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 Chika Kaneko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chika Kaneko more than expected).
Fields of papers citing papers by Chika Kaneko
This network shows the impact of papers produced by Chika Kaneko. 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 Chika Kaneko. The network helps show where Chika Kaneko may publish in the future.
Co-authorship network of co-authors of Chika Kaneko
This figure shows the co-authorship network connecting the top 25 collaborators of Chika Kaneko. A scholar is included among the top collaborators of Chika Kaneko 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 Chika Kaneko. Chika Kaneko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 12 | |
| 3 | 145 | |
| 4 | 45 | |
| 5 | Estrogen sulfotransferase and steroid sulfatase in human breast carcinoma. | 164 |
| 6 | 53 | |
| 7 | 74 | |
| 8 | 71 | |
| 9 | 126 | |
| 10 | 41 | |
| 11 | 88 | |
| 12 | 38 | |
| 13 | 23 | |
| 14 | 49 | |
| 15 | 70 | |
| 16 | 119 | |
| 17 | 153 | |
| 18 | 34 | |
| 19 | 15 | |
| 20 | 1 |
About Chika Kaneko
Chika Kaneko is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Behavioral Neuroscience, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Hormonal Regulation and Hypertension (5 papers) and Steroid Chemistry and Biochemistry (4 papers). The work is most often cited by research in Behavioral Neuroscience (155 citations), Reproductive Medicine (257 citations) and Endocrinology, Diabetes and Metabolism (490 citations). Chika Kaneko has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Hironobu Sasano, Takashi Suzuki, Takuya Moriya, Andrew D. Darnel, Junji Takeyama, Taisuke Nakata, Jun‐ichi Akahira, Kazuhiro Takahashi, Yasuhiro Miki and Naohiro Ariga. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Cancer Research and British Journal of Cancer.
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.