Yutaka Saito
- Pulmonary and Respiratory Medicine top 0.05%
- Surgery top 0.2%
- Oncology top 0.2%
- Gastroenterology top 0.02%
- Molecular Biology top 5%
- Co-authors
- Takahisa MatsudaTakeshi NakajimaToshio UraokaDaizo SaitoTaku SakamotoIchiro OdaTakahiro FujiiHisatomo Ikehara
- Topics
- Gastric Cancer Management and Outcomes (269 papers)Colorectal Cancer Screening and Detection (127 papers)Metastasis and carcinoma case studies (126 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yutaka Saito
655 papers receiving 18.1k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Pulmonary and Respiratory Medicine 11.6k
- Surgery 6.4k
- Oncology 6.1k
- Gastroenterology 4.6k
- Molecular Biology 2.1k
Countries citing papers authored by Yutaka Saito
This map shows the geographic impact of Yutaka 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 Yutaka Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Saito more than expected).
Fields of papers citing papers by Yutaka Saito
This network shows the impact of papers produced by Yutaka 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 Yutaka Saito. The network helps show where Yutaka Saito may publish in the future.
Co-authorship network of co-authors of Yutaka Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Saito. A scholar is included among the top collaborators of Yutaka 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 Yutaka Saito. Yutaka 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 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 16 | |
| 13 | 8 | |
| 14 | 51 | |
| 15 | On generalization of Ricceri's theorem for Fan-Takahashi minimax inequality into set-valued maps via scalarization | 1 |
| 16 | 5 | |
| 17 | 98 | |
| 18 | A RANDOMIZED TRIAL OF CHEMO-ENDOCRINE THERAPY VERSUS ENDOCRINE THERAPY ALONE IN NEWLY DIAGNOSED PATIENTS WITH ADVANCED PROSTATE CANCER | 1 |
| 19 | 2 | |
| 20 | 16 |
About Yutaka Saito
Yutaka Saito is a scholar working on Gastroenterology, Pulmonary and Respiratory Medicine and Oncology, having authored 682 papers that have together received 18.7k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (269 papers), Colorectal Cancer Screening and Detection (127 papers) and Metastasis and carcinoma case studies (126 papers). The work is most often cited by research in Gastroenterology (4.6k citations), Pulmonary and Respiratory Medicine (11.6k citations) and Oncology (6.1k citations). Yutaka Saito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takahisa Matsuda, Takeshi Nakajima, Toshio Uraoka, Daizo Saito, Taku Sakamoto, Ichiro Oda, Takahiro Fujii, Hisatomo Ikehara, Seiichiro Abe and Hiroaki Ikematsu. Their work appears in journals such as Science, Physical Review Letters and Journal of Biological Chemistry.
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.