Miyuki Katai
- Molecular Biology
- Epidemiology
- Ophthalmology top 5%
- Neurology top 10%
- Oncology
- Co-authors
- Kiyoshi HashizumeAkihiro SakuraiKiyoshi SuzumaLloyd Paul AielloHoseong S. YangPeter GehlbachJohn W. CrabbMasaru Miyagi
- Topics
- Neuroendocrine Tumor Research Advances (16 papers)Neuroblastoma Research and Treatments (9 papers)Lung Cancer Research Studies (7 papers)
- Cited by
- OphthalmologyNeurologyEpidemiology
- Journals
- The Journal of Clinical Endocrinology & MetabolismAmerican Journal of Physiology-Heart and Circulatory PhysiologyTransplantation
- Partner nations
- JapanUnited States
In The Last Decade
Miyuki Katai
33 papers receiving 564 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 206
- Epidemiology 174
- Ophthalmology 150
- Neurology 125
- Oncology 113
Countries citing papers authored by Miyuki Katai
This map shows the geographic impact of Miyuki Katai'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 Miyuki Katai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miyuki Katai more than expected).
Fields of papers citing papers by Miyuki Katai
This network shows the impact of papers produced by Miyuki Katai. 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 Miyuki Katai. The network helps show where Miyuki Katai may publish in the future.
Co-authorship network of co-authors of Miyuki Katai
This figure shows the co-authorship network connecting the top 25 collaborators of Miyuki Katai. A scholar is included among the top collaborators of Miyuki Katai 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 Miyuki Katai. Miyuki Katai 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 | 7 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | Pigment epithelium-derived factor suppresses ischemia-induced retinal neovascularization and VEGF-induced migration and growth. | 248 |
| 8 | 16 | |
| 9 | 22 | |
| 10 | 14 | |
| 11 | 25 | |
| 12 | 24 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 34 | |
| 16 | 2 | |
| 17 | 16 | |
| 18 | 7 | |
| 19 | 15 | |
| 20 | 1 |
About Miyuki Katai
Miyuki Katai is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 35 papers that have together received 576 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (16 papers), Neuroblastoma Research and Treatments (9 papers) and Lung Cancer Research Studies (7 papers). The work is most often cited by research in Ophthalmology (150 citations), Neurology (125 citations) and Epidemiology (174 citations). Miyuki Katai has collaborated with scholars based in Japan and United States. Frequent co-authors include Kiyoshi Hashizume, Akihiro Sakurai, Kiyoshi Suzuma, Lloyd Paul Aiello, Hoseong S. Yang, Peter Gehlbach, John W. Crabb, Masaru Miyagi, Yan Lin and Karen A. West. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Physiology-Heart and Circulatory Physiology and Transplantation.
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.