Makoto Saito
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Infectious Diseases top 5%
- Epidemiology top 10%
- Oncology top 10%
- Co-authors
- Kazuaki NegishiThomas H. MarwickMamoru KikuchiAtsushi SanoJun YamakoshiShoichi TokutakeFujio OtsukaYoshiro Kubota
- Topics
- Hepatitis C virus research (14 papers)Hepatitis B Virus Studies (11 papers)Cardiac pacing and defibrillation studies (10 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Makoto Saito
178 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 162
- Cardiology and Cardiovascular Medicine 814
- Molecular Biology 593
- Infectious Diseases 412
- Epidemiology 388
- Oncology 327
Countries citing papers authored by Makoto Saito
This map shows the geographic impact of Makoto 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 Makoto Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Saito more than expected).
Fields of papers citing papers by Makoto Saito
This network shows the impact of papers produced by Makoto 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 Makoto Saito. The network helps show where Makoto Saito may publish in the future.
Co-authorship network of co-authors of Makoto Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Saito. A scholar is included among the top collaborators of Makoto 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 Makoto Saito. Makoto 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 51 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 12 | |
| 15 | 30 | |
| 16 | Abstract 13461: Risks for Heart Failure Readmission within 90 days - A Meta-Analysis of 1,640,014 Subjects | 1 |
| 17 | Abstract 11040: Not Carotid but Femoral Artery Intima-Media Thickness Predicts Peripheral Artery Disease in Patients With Coronary Artery Disease | 1 |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 2 |
About Makoto Saito
Makoto Saito is a scholar working on Infectious Diseases, Hepatology and Cardiology and Cardiovascular Medicine, having authored 198 papers that have together received 3.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (14 papers), Hepatitis B Virus Studies (11 papers) and Cardiac pacing and defibrillation studies (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (814 citations), Biochemistry (213 citations) and Endocrinology (163 citations). Makoto Saito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuaki Negishi, Thomas H. Marwick, Mamoru Kikuchi, Atsushi Sano, Jun Yamakoshi, Shoichi Tokutake, Fujio Otsuka, Yoshiro Kubota, Hiroshi Yotsuyanagi and Junichi Goto. Their work appears in journals such as New England Journal of Medicine, Nucleic Acids Research 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.