Satoko Ishigaki
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Surgery
- Pathology and Forensic Medicine
- Pulmonary and Respiratory Medicine
- Co-authors
- Hiroko SatakeShinji NaganawaMitsuru IkedaHisashi KawaiRintaro ItoKazuhiro ShimamotoTakeo IshigakiShigeki Itoh
- Topics
- MRI in cancer diagnosis (14 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)Advanced MRI Techniques and Applications (6 papers)
- Partner nations
- Japan
In The Last Decade
Satoko Ishigaki
19 papers receiving 401 citations
Peers
Comparison fields: 5 of 43
- Radiology, Nuclear Medicine and Imaging 338
- Biomedical Engineering 66
- Surgery 56
- Pathology and Forensic Medicine 55
- Pulmonary and Respiratory Medicine 44
Countries citing papers authored by Satoko Ishigaki
This map shows the geographic impact of Satoko Ishigaki'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 Satoko Ishigaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoko Ishigaki more than expected).
Fields of papers citing papers by Satoko Ishigaki
This network shows the impact of papers produced by Satoko Ishigaki. 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 Satoko Ishigaki. The network helps show where Satoko Ishigaki may publish in the future.
Co-authorship network of co-authors of Satoko Ishigaki
This figure shows the co-authorship network connecting the top 25 collaborators of Satoko Ishigaki. A scholar is included among the top collaborators of Satoko Ishigaki 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 Satoko Ishigaki. Satoko Ishigaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 64 | |
| 4 | 7 | |
| 5 | 45 | |
| 6 | 28 | |
| 7 | Background parenchymal enhancement in preoperative breast MRI. | 4 |
| 8 | Prediction of background parenchymal enhancement on breast MRI using mammography, ultrasonography, and diffusion-weighted imaging. | 15 |
| 9 | 20 | |
| 10 | 92 | |
| 11 | Early prediction of response to neoadjuvant chemotherapy for locally advanced breast cancer using MRI. | 9 |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 48 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | Multi-slice CT of thyroid nodules: comparison with ultrasonography. | 38 |
| 20 | 4 |
About Satoko Ishigaki
Satoko Ishigaki is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Cancer Research, having authored 20 papers that have together received 405 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (14 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced MRI Techniques and Applications (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (338 citations), Pathology and Forensic Medicine (55 citations) and Health Informatics (4 citations). Satoko Ishigaki has collaborated with scholars based in Japan. Frequent co-authors include Hiroko Satake, Shinji Naganawa, Mitsuru Ikeda, Hisashi Kawai, Rintaro Ito, Kazuhiro Shimamoto, Takeo Ishigaki, Shigeki Itoh, Akiko Sawaki and Tsuneo Imai. Their work appears in journals such as American Journal of Roentgenology, Journal of Magnetic Resonance Imaging and European 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.