Seiei Yasuda
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Surgery top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Akira ShohtsuSeiji NasuMichiru IdeMarc Van CauterenYutaka ImaiTaro TakaharaTomohiro YamashitaWakoh Takahashi
- Topics
- Medical Imaging Techniques and Applications (24 papers)Radiomics and Machine Learning in Medical Imaging (19 papers)Colorectal Cancer Treatments and Studies (15 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Seiei Yasuda
100 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 1.2k
- Pulmonary and Respiratory Medicine 740
- Oncology 709
- Surgery 606
- Pathology and Forensic Medicine 212
Countries citing papers authored by Seiei Yasuda
This map shows the geographic impact of Seiei Yasuda'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 Seiei Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiei Yasuda more than expected).
Fields of papers citing papers by Seiei Yasuda
This network shows the impact of papers produced by Seiei Yasuda. 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 Seiei Yasuda. The network helps show where Seiei Yasuda may publish in the future.
Co-authorship network of co-authors of Seiei Yasuda
This figure shows the co-authorship network connecting the top 25 collaborators of Seiei Yasuda. A scholar is included among the top collaborators of Seiei Yasuda 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 Seiei Yasuda. Seiei Yasuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | A Long Surviving Case of Multiple Early Stage Primary Malignant Melanoma of the Esophagus and a Review of the Literature. | 8 |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 32 | |
| 6 | 3 | |
| 7 | 28 | |
| 8 | 29 | |
| 9 | 111 | |
| 10 | Hilar activity on the F-18 FDG whole-body PET studies | 1 |
| 11 | 33 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 35 | |
| 15 | 109 | |
| 16 | 2 | |
| 17 | 25 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 1 |
About Seiei Yasuda
Seiei Yasuda is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 104 papers that have together received 2.4k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (24 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Colorectal Cancer Treatments and Studies (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Oncology (709 citations) and Pulmonary and Respiratory Medicine (740 citations). Seiei Yasuda has collaborated with scholars based in Japan and United States. Frequent co-authors include Akira Shohtsu, Seiji Nasu, Michiru Ide, Marc Van Cauteren, Yutaka Imai, Taro Takahara, Tomohiro Yamashita, Wakoh Takahashi, Sotaro Sadahiro and Tomoo Tajima. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Cancer Research.
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.