Toru Sasaki
- Molecular Biology top 5%
- Genetics top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Public Health, Environmental and Occupational Health top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Tsuyoshi KajiwaraSakae ZembutsuKiichi IshiwataKenji IshiiM FunakoshiHideki KobayashiKeiichi OdaYuichi Kimura
- Topics
- Receptor Mechanisms and Signaling (15 papers)Radiopharmaceutical Chemistry and Applications (14 papers)Mathematical and Theoretical Epidemiology and Ecology Models (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Toru Sasaki
182 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 1.5k
- Genetics 448
- Radiology, Nuclear Medicine and Imaging 401
- Public Health, Environmental and Occupational Health 350
- Cellular and Molecular Neuroscience 309
Countries citing papers authored by Toru Sasaki
This map shows the geographic impact of Toru Sasaki'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 Toru Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Sasaki more than expected).
Fields of papers citing papers by Toru Sasaki
This network shows the impact of papers produced by Toru Sasaki. 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 Toru Sasaki. The network helps show where Toru Sasaki may publish in the future.
Co-authorship network of co-authors of Toru Sasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Toru Sasaki. A scholar is included among the top collaborators of Toru Sasaki 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 Toru Sasaki. Toru Sasaki 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 | 26 | |
| 4 | 16 | |
| 5 | 14 | |
| 6 | 47 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 106 | |
| 10 | 3 | |
| 11 | 30 | |
| 12 | 210 | |
| 13 | 0 | |
| 14 | 199 | |
| 15 | 111 | |
| 16 | 20 | |
| 17 | 22 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | STUDIES ON THE MONO-EXPONENTIAL NATURE OF THE LEFT VENTRICULAR PRESSURE FALL DURING ISOVOLUMIC RELAXATION PERIOD IN THE DISEASED HEART : Ventricular Function : 46th Annual Scientific Meeting, Japanese Circulation Society | 1 |
About Toru Sasaki
Toru Sasaki is a scholar working on Modeling and Simulation, Aging and Obstetrics and Gynecology, having authored 189 papers that have together received 3.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Radiopharmaceutical Chemistry and Applications (14 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (12 papers). The work is most often cited by research in Modeling and Simulation (169 citations), Physiology (131 citations) and Molecular Biology (1.5k citations). Toru Sasaki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tsuyoshi Kajiwara, Sakae Zembutsu, Kiichi Ishiwata, Kenji Ishii, M Funakoshi, Hideki Kobayashi, Keiichi Oda, Yuichi Kimura, Michio Senda and Takeharu Nishimoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.