Ayana Okamoto
- Surgery
- Oncology top 10%
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Co-authors
- Masatoshi KudoTomohiro WatanabeMamoru TakenakaKosuke MinagaKen KamataToshiharu SakuraiKentaro YamaoYoriaki Komeda
- Topics
- Pancreatic and Hepatic Oncology Research (16 papers)Pediatric Hepatobiliary Diseases and Treatments (10 papers)Gallbladder and Bile Duct Disorders (9 papers)
- Cited by
- OncologyGastroenterologySurgery
- Journals
- NeuroImageInternational Journal of Radiation Oncology*Biology*PhysicsFrontiers in Immunology
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Ayana Okamoto
38 papers receiving 476 citations
Peers
Comparison fields: 5 of 64
- Surgery 235
- Oncology 235
- Pulmonary and Respiratory Medicine 173
- Radiology, Nuclear Medicine and Imaging 115
- Artificial Intelligence 70
Countries citing papers authored by Ayana Okamoto
This map shows the geographic impact of Ayana Okamoto'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 Ayana Okamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayana Okamoto more than expected).
Fields of papers citing papers by Ayana Okamoto
This network shows the impact of papers produced by Ayana Okamoto. 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 Ayana Okamoto. The network helps show where Ayana Okamoto may publish in the future.
Co-authorship network of co-authors of Ayana Okamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Ayana Okamoto. A scholar is included among the top collaborators of Ayana Okamoto 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 Ayana Okamoto. Ayana Okamoto 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 20 | |
| 8 | 33 | |
| 9 | 10 | |
| 10 | 14 | |
| 11 | 159 | |
| 12 | 23 | |
| 13 | 14 | |
| 14 | 20 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 2 | |
| 20 | 1 |
About Ayana Okamoto
Ayana Okamoto is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 41 papers that have together received 483 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (16 papers), Pediatric Hepatobiliary Diseases and Treatments (10 papers) and Gallbladder and Bile Duct Disorders (9 papers). The work is most often cited by research in Oncology (235 citations), Gastroenterology (47 citations) and Surgery (235 citations). Ayana Okamoto has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Masatoshi Kudo, Tomohiro Watanabe, Mamoru Takenaka, Kosuke Minaga, Ken Kamata, Toshiharu Sakurai, Kentaro Yamao, Yoriaki Komeda, Naoshi Nishida and Masashi Kono. Their work appears in journals such as NeuroImage, International Journal of Radiation Oncology*Biology*Physics and Frontiers in Immunology.
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.