Junko Ota
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Oncology
- Biomedical Engineering
- Co-authors
- Takayuki IshidaT TaguchiNaoki HirabayashiYuh SakataM KuriharaRihito KanamaruKentaro OkamotoTakanori Suzuki
- Topics
- Advanced Image Processing Techniques (7 papers)Image and Signal Denoising Methods (6 papers)Advanced X-ray and CT Imaging (5 papers)
- Cited by
- Media TechnologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Junko Ota
32 papers receiving 409 citations
Peers
Comparison fields: 5 of 80
- Radiology, Nuclear Medicine and Imaging 156
- Computer Vision and Pattern Recognition 135
- Pulmonary and Respiratory Medicine 94
- Oncology 91
- Biomedical Engineering 90
Countries citing papers authored by Junko Ota
This map shows the geographic impact of Junko 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 Junko Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junko Ota more than expected).
Fields of papers citing papers by Junko Ota
This network shows the impact of papers produced by Junko 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 Junko Ota. The network helps show where Junko Ota may publish in the future.
Co-authorship network of co-authors of Junko Ota
This figure shows the co-authorship network connecting the top 25 collaborators of Junko Ota. A scholar is included among the top collaborators of Junko 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 Junko Ota. Junko 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | 14 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 145 | |
| 14 | 21 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | [Expression of the growth factors (EGF, EGFR, and TGF alpha) and PCNA in superspreading and penetrating types of gastric carcinomas]. | 3 |
| 19 | Phase I study of YM 881 (zinostatin stimalamer) suspension by hepatic arterial infusion | 2 |
| 20 | [Phase II study of YM881 (zinostatin stimalamer) suspension injected into the hepatic artery. Research Group for Intra-arterial Injection Therapy with YM881]. | 8 |
About Junko Ota
Junko Ota is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 419 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Media Technology (62 citations), Radiology, Nuclear Medicine and Imaging (156 citations) and Computer Vision and Pattern Recognition (135 citations). Junko Ota has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Takayuki Ishida, T Taguchi, Naoki Hirabayashi, Yuh Sakata, M Kurihara, Rihito Kanamaru, Kentaro Okamoto, Takanori Suzuki, Tatsuya Nishii and Yasutoshi Ohta. Their work appears in journals such as The Science of The Total Environment, Scientific Reports and Radiology.
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.