Kaku Saito
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery top 10%
- Molecular Biology
- Co-authors
- Masahiro SugiharaKensei YamaguchiKohei ShitaraSatoru IwasaHisato KawakamiNaotoshi SugimotoDaisuke SakaiHiroshi Yabusaki
- Topics
- Gastric Cancer Management and Outcomes (19 papers)HER2/EGFR in Cancer Research (16 papers)Colorectal Cancer Treatments and Studies (15 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Kaku Saito
35 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Oncology 1.3k
- Pulmonary and Respiratory Medicine 913
- Radiology, Nuclear Medicine and Imaging 470
- Surgery 324
- Molecular Biology 303
Countries citing papers authored by Kaku Saito
This map shows the geographic impact of Kaku 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 Kaku Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaku Saito more than expected).
Fields of papers citing papers by Kaku Saito
This network shows the impact of papers produced by Kaku 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 Kaku Saito. The network helps show where Kaku Saito may publish in the future.
Co-authorship network of co-authors of Kaku Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Kaku Saito. A scholar is included among the top collaborators of Kaku 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 Kaku Saito. Kaku 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 | 1 | |
| 2 | 76 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | Targeting HER2 with Trastuzumab Deruxtecan: A Dose-Expansion, Phase I Study in Multiple Advanced Solid Tumorsbreakdown → | 248 |
| 8 | Trastuzumab Deruxtecan in Previously Treated HER2-Positive Gastric Cancerbreakdown → | 802 |
| 9 | 3 | |
| 10 | 38 | |
| 11 | 162 | |
| 12 | 4 | |
| 13 | 30 | |
| 14 | 12 | |
| 15 | 16 | |
| 16 | 15 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 105 | |
| 20 | 1 |
About Kaku Saito
Kaku Saito is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (19 papers), HER2/EGFR in Cancer Research (16 papers) and Colorectal Cancer Treatments and Studies (15 papers). The work is most often cited by research in Oncology (1.3k citations), Gastroenterology (196 citations) and Pulmonary and Respiratory Medicine (913 citations). Kaku Saito has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masahiro Sugihara, Kensei Yamaguchi, Kohei Shitara, Satoru Iwasa, Hisato Kawakami, Naotoshi Sugimoto, Daisuke Sakai, Hiroshi Yabusaki, Hyun Cheol Chung and Takahiro Kamio. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology 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.