Akitoshi Saito
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Oncology
- Otorhinolaryngology top 5%
- Co-authors
- Satoshi KawakamiShodayu TakashimaFumiyoshi TakayamaTsuyoshi MatsushitaJichen WangMitsuhiro MomoseTetsuya IshiyamaAtsushi Nambu
- Topics
- Lung Cancer Diagnosis and Treatment (14 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Medical Imaging and Pathology Studies (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaRadiologyAmerican Journal of Roentgenology
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Akitoshi Saito
27 papers receiving 922 citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 509
- Pulmonary and Respiratory Medicine 269
- Surgery 253
- Oncology 112
- Otorhinolaryngology 109
Countries citing papers authored by Akitoshi Saito
This map shows the geographic impact of Akitoshi Saito'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 Akitoshi Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akitoshi Saito more than expected).
Fields of papers citing papers by Akitoshi Saito
This network shows the impact of papers produced by Akitoshi Saito. 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 Akitoshi Saito. The network helps show where Akitoshi Saito may publish in the future.
Co-authorship network of co-authors of Akitoshi Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Akitoshi Saito. A scholar is included among the top collaborators of Akitoshi Saito 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 Akitoshi Saito. Akitoshi Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 26 | |
| 8 | 30 | |
| 9 | 34 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 57 | |
| 14 | [Detectability of lesions in multiplanar reformation (MPR) of the lung]. | 1 |
| 15 | 30 | |
| 16 | 474 | |
| 17 | 16 | |
| 18 | 18 | |
| 19 | 6 | |
| 20 | 15 |
About Akitoshi Saito
Akitoshi Saito is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 942 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Medical Imaging and Pathology Studies (5 papers). The work is most often cited by research in Otorhinolaryngology (109 citations), Radiology, Nuclear Medicine and Imaging (509 citations) and Orthopedics and Sports Medicine (88 citations). Akitoshi Saito has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Satoshi Kawakami, Shodayu Takashima, Fumiyoshi Takayama, Tsuyoshi Matsushita, Jichen Wang, Mitsuhiro Momose, Tetsuya Ishiyama, Atsushi Nambu, Tsutomu Araki and Satoshi Kato. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and American Journal of Roentgenology.
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.