Miyo Ota
About
In The Last Decade
Miyo Ota
8 papers receiving 389 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Immunology 231
- Molecular Biology 105
- Radiology, Nuclear Medicine and Imaging 76
- Rheumatology 53
- Immunology and Allergy 52
Countries citing papers authored by Miyo Ota
This map shows the geographic impact of Miyo Ota'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 Miyo Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miyo Ota more than expected).
Fields of papers citing papers by Miyo Ota
This network shows the impact of papers produced by Miyo Ota. 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 Miyo Ota. The network helps show where Miyo Ota may publish in the future.
Co-authorship network of co-authors of Miyo Ota
This figure shows the co-authorship network connecting the top 25 collaborators of Miyo Ota. A scholar is included among the top collaborators of Miyo Ota 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 Miyo Ota. Miyo Ota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | CD23 + IgG1 + memory B cells are poised to switch to pathogenic IgE production in food allergy breakdown → | 44 |
| 2 | 34 | |
| 3 | 55 | |
| 4 | 26 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 77 | |
| 8 | 143 |
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.