Shunya Sunami
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Otorhinolaryngology top 5%
- Pathology and Forensic Medicine
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Hidetake YabuuchiTakeshi KamitaniHiroshi HondaYoshio MatsuoMasamitsu HatakenakaShuji SakaiTaro SetoguchiKei Nishikawa
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)MRI in cancer diagnosis (5 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaRadiologyInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- Japan
In The Last Decade
Shunya Sunami
16 papers receiving 506 citations
Peers
Comparison fields: 5 of 46
- Radiology, Nuclear Medicine and Imaging 390
- Pulmonary and Respiratory Medicine 99
- Otorhinolaryngology 74
- Pathology and Forensic Medicine 63
- Orthopedics and Sports Medicine 53
Countries citing papers authored by Shunya Sunami
This map shows the geographic impact of Shunya Sunami'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 Shunya Sunami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunya Sunami more than expected).
Fields of papers citing papers by Shunya Sunami
This network shows the impact of papers produced by Shunya Sunami. 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 Shunya Sunami. The network helps show where Shunya Sunami may publish in the future.
Co-authorship network of co-authors of Shunya Sunami
This figure shows the co-authorship network connecting the top 25 collaborators of Shunya Sunami. A scholar is included among the top collaborators of Shunya Sunami 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 Shunya Sunami. Shunya Sunami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 17 | |
| 3 | 44 | |
| 4 | 30 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 87 | |
| 10 | 0 | |
| 11 | 50 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | 13 | |
| 15 | 107 | |
| 16 | 90 | |
| 17 | 1 | |
| 18 | Diagnosis of hepatic angiomyolipomas; Comparison of US, CT and MR imaging | 0 |
About Shunya Sunami
Shunya Sunami is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 18 papers that have together received 512 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). The work is most often cited by research in Otorhinolaryngology (74 citations), Radiology, Nuclear Medicine and Imaging (390 citations) and Orthopedics and Sports Medicine (53 citations). Shunya Sunami has collaborated with scholars based in Japan. Frequent co-authors include Hidetake Yabuuchi, Takeshi Kamitani, Hiroshi Honda, Yoshio Matsuo, Masamitsu Hatakenaka, Shuji Sakai, Taro Setoguchi, Kei Nishikawa, Yoshiyuki Shioyama and Hidetaka Yamamoto. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and International Journal of Radiation Oncology*Biology*Physics.
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.