Suminori Akiba
- Oncology top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Surgery top 2%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Chihaya KoriyamaYukari EizuruCharles E. LandTakashi AikouTakeshi HirayamaShinji TokonamiYuji TakebayashiShin‐ichi Akiyama
- Topics
- Radiation Dose and Imaging (45 papers)Viral-associated cancers and disorders (30 papers)Radioactivity and Radon Measurements (30 papers)
- Journals
- The LancetJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- JapanChinaUnited States
In The Last Decade
Suminori Akiba
198 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Oncology 2.0k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Surgery 1.1k
- Molecular Biology 1.1k
- Pulmonary and Respiratory Medicine 966
Countries citing papers authored by Suminori Akiba
This map shows the geographic impact of Suminori Akiba'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 Suminori Akiba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suminori Akiba more than expected).
Fields of papers citing papers by Suminori Akiba
This network shows the impact of papers produced by Suminori Akiba. 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 Suminori Akiba. The network helps show where Suminori Akiba may publish in the future.
Co-authorship network of co-authors of Suminori Akiba
This figure shows the co-authorship network connecting the top 25 collaborators of Suminori Akiba. A scholar is included among the top collaborators of Suminori Akiba 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 Suminori Akiba. Suminori Akiba 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 | Molecular Pathogenesis of Human Papillomavirus Type 16 in Tonsillar Squamous Cell Carcinoma. | 7 |
| 4 | 48 | |
| 5 | 75 | |
| 6 | 33 | |
| 7 | 135 | |
| 8 | 2 | |
| 9 | 22 | |
| 10 | 160 | |
| 11 | 113 | |
| 12 | Environmental Factors and Cancer Prevention | 0 |
| 13 | First analysis of mortality of nuclear industry workers in Japan, 1986-1992 | 6 |
| 14 | 96 | |
| 15 | 14 | |
| 16 | 189 | |
| 17 | 6 | |
| 18 | 18 | |
| 19 | 10 | |
| 20 | 19 |
About Suminori Akiba
Suminori Akiba is a scholar working on Radiological and Ultrasound Technology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 203 papers that have together received 6.6k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (45 papers), Viral-associated cancers and disorders (30 papers) and Radioactivity and Radon Measurements (30 papers). The work is most often cited by research in Radiological and Ultrasound Technology (938 citations), Oncology (2.0k citations) and Cancer Research (849 citations). Suminori Akiba has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Chihaya Koriyama, Yukari Eizuru, Charles E. Land, Takashi Aikou, Takeshi Hirayama, Shinji Tokonami, Yuji Takebayashi, Shin‐ichi Akiyama, Masayoshi Tokunaga and Roberto Herrera‐Goepfert. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.