Yasushi Tsujimoto
- Surgery
- Pulmonary and Respiratory Medicine
- Public Health, Environmental and Occupational Health top 10%
- Critical Care and Intensive Care Medicine top 5%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Yuki KataokaMasahiro BannoHiraku TsujimotoToshi A. FurukawaShunsuke TaitoTomoko FujiiMasashi TaniguchiAkiko Noda
- Topics
- Meta-analysis and systematic reviews (30 papers)Dialysis and Renal Disease Management (16 papers)Health Systems, Economic Evaluations, Quality of Life (10 papers)
- Cited by
- Health InformaticsCritical Care and Intensive Care MedicineStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPEDIATRICS
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Yasushi Tsujimoto
112 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Surgery 185
- Pulmonary and Respiratory Medicine 173
- Public Health, Environmental and Occupational Health 167
- Critical Care and Intensive Care Medicine 142
- Statistics, Probability and Uncertainty 134
Countries citing papers authored by Yasushi Tsujimoto
This map shows the geographic impact of Yasushi Tsujimoto'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 Yasushi Tsujimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasushi Tsujimoto more than expected).
Fields of papers citing papers by Yasushi Tsujimoto
This network shows the impact of papers produced by Yasushi Tsujimoto. 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 Yasushi Tsujimoto. The network helps show where Yasushi Tsujimoto may publish in the future.
Co-authorship network of co-authors of Yasushi Tsujimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Tsujimoto. A scholar is included among the top collaborators of Yasushi Tsujimoto 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 Yasushi Tsujimoto. Yasushi Tsujimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 0 | |
| 17 | 4 | |
| 18 | 30 | |
| 19 | 2 | |
| 20 | 10 |
About Yasushi Tsujimoto
Yasushi Tsujimoto is a scholar working on Statistics, Probability and Uncertainty, Health Informatics and Nephrology, having authored 126 papers that have together received 1.2k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (30 papers), Dialysis and Renal Disease Management (16 papers) and Health Systems, Economic Evaluations, Quality of Life (10 papers). The work is most often cited by research in Health Informatics (53 citations), Critical Care and Intensive Care Medicine (142 citations) and Statistics, Probability and Uncertainty (134 citations). Yasushi Tsujimoto has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yuki Kataoka, Masahiro Banno, Hiraku Tsujimoto, Toshi A. Furukawa, Shunsuke Taito, Tomoko Fujii, Masashi Taniguchi, Akiko Noda, Shunichi Fukuhara and Yukihiko Nakata. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.
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.