Kayoko Miyata
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Surgery top 10%
- Nephrology top 1%
- Co-authors
- Ryousuke SatouHiroyuki KoboriAkemi KatsuradaNaro OhashiL. Gabriel NavarAkira NishiyamaHideyasu KiyomotoShoji Kimura
- Topics
- Renin-Angiotensin System Studies (23 papers)Hormonal Regulation and Hypertension (22 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Kayoko Miyata
50 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 100
- Endocrinology, Diabetes and Metabolism 1.3k
- Cardiology and Cardiovascular Medicine 1.1k
- Molecular Biology 583
- Surgery 440
- Nephrology 435
Countries citing papers authored by Kayoko Miyata
This map shows the geographic impact of Kayoko Miyata'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 Kayoko Miyata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayoko Miyata more than expected).
Fields of papers citing papers by Kayoko Miyata
This network shows the impact of papers produced by Kayoko Miyata. 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 Kayoko Miyata. The network helps show where Kayoko Miyata may publish in the future.
Co-authorship network of co-authors of Kayoko Miyata
This figure shows the co-authorship network connecting the top 25 collaborators of Kayoko Miyata. A scholar is included among the top collaborators of Kayoko Miyata 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 Kayoko Miyata. Kayoko Miyata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 21 | |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 42 | |
| 7 | 37 | |
| 8 | 166 | |
| 9 | 54 | |
| 10 | 93 | |
| 11 | 25 | |
| 12 | 116 | |
| 13 | 70 | |
| 14 | 104 | |
| 15 | 179 | |
| 16 | 275 | |
| 17 | 13 | |
| 18 | Measurement of keratan sulfate in sera and synovial fluid from horses by a monoclomal antibody 1/14/16H9 reacting with equine keratan sulfate | 1 |
| 19 | 5 | |
| 20 | 3 |
About Kayoko Miyata
Kayoko Miyata is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Sensory Systems, having authored 52 papers that have together received 2.4k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (23 papers), Hormonal Regulation and Hypertension (22 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Nephrology (435 citations) and Cardiology and Cardiovascular Medicine (1.1k citations). Kayoko Miyata has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Ryousuke Satou, Hiroyuki Kobori, Akemi Katsurada, Naro Ohashi, L. Gabriel Navar, Akira Nishiyama, Hideyasu Kiyomoto, Shoji Kimura, Yukiko Nagai and Youichi Abe. Their work appears in journals such as Journal of Neuroscience, Diabetes and Journal of Neurophysiology.
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.