Atsuhito Saiki
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 5%
- Molecular Biology
- Co-authors
- Daiji NagayamaKohji ShiraiMasahiro OhiraTakashi YamaguchiIchiro TatsunoKei EndoTomokazu OyamaYoh Miyashita
- Topics
- Cardiovascular Health and Disease Prevention (37 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers)Diet and metabolism studies (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodScientific Reports
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Atsuhito Saiki
98 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 92
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 674
- Endocrinology, Diabetes and Metabolism 551
- Physiology 408
- Molecular Biology 285
Countries citing papers authored by Atsuhito Saiki
This map shows the geographic impact of Atsuhito Saiki'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 Atsuhito Saiki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsuhito Saiki more than expected).
Fields of papers citing papers by Atsuhito Saiki
This network shows the impact of papers produced by Atsuhito Saiki. 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 Atsuhito Saiki. The network helps show where Atsuhito Saiki may publish in the future.
Co-authorship network of co-authors of Atsuhito Saiki
This figure shows the co-authorship network connecting the top 25 collaborators of Atsuhito Saiki. A scholar is included among the top collaborators of Atsuhito Saiki 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 Atsuhito Saiki. Atsuhito Saiki 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | Cardio-Ankle Vascular Index is Associated with Prevalence and New-Appearance of Atrial Fibrillation in Japanese Urban Residents: A Retrospective Cross-Sectional and Cohort Study | 7 |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 10 | |
| 17 | 93 | |
| 18 | 13 | |
| 19 | 43 | |
| 20 | 18 |
About Atsuhito Saiki
Atsuhito Saiki is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 105 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (37 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers) and Diet and metabolism studies (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (551 citations) and Nephrology (148 citations). Atsuhito Saiki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Daiji Nagayama, Kohji Shirai, Masahiro Ohira, Takashi Yamaguchi, Ichiro Tatsuno, Kei Endo, Tomokazu Oyama, Yoh Miyashita, Noriko Ban and Hidetoshi Kawana. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.
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.