S Sasayama
- Cardiology and Cardiovascular Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Surgery top 5%
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Akira MatsumoriToshinori HiraiMasatoshi FujitaHidetsugu AsanoiTakeshi KawasakiShinichi YagiToshiyuki YamadaDavid W. Franklin
- Topics
- Cardiac Imaging and Diagnostics (22 papers)Cardiovascular Function and Risk Factors (21 papers)Cardiac electrophysiology and arrhythmias (13 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingPathology and Forensic Medicine
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
S Sasayama
101 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cardiology and Cardiovascular Medicine 3.8k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Surgery 999
- Molecular Biology 989
- Pathology and Forensic Medicine 536
Countries citing papers authored by S Sasayama
This map shows the geographic impact of S Sasayama'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 S Sasayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Sasayama more than expected).
Fields of papers citing papers by S Sasayama
This network shows the impact of papers produced by S Sasayama. 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 S Sasayama. The network helps show where S Sasayama may publish in the future.
Co-authorship network of co-authors of S Sasayama
This figure shows the co-authorship network connecting the top 25 collaborators of S Sasayama. A scholar is included among the top collaborators of S Sasayama 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 S Sasayama. S Sasayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | [A case of necrotizing crescentic glomerulonephritis with arteritis due to secondary amyloidosis following rheumatoid arthritis]. | 1 |
| 5 | 12 | |
| 6 | 61 | |
| 7 | 8 | |
| 8 | 25 | |
| 9 | 114 | |
| 10 | 25 | |
| 11 | 4 | |
| 12 | 30 | |
| 13 | 17 | |
| 14 | 7 | |
| 15 | 21 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 14 | |
| 20 | 26 |
About S Sasayama
S Sasayama is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Radiology, Nuclear Medicine and Imaging, having authored 103 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (22 papers), Cardiovascular Function and Risk Factors (21 papers) and Cardiac electrophysiology and arrhythmias (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.8k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Pathology and Forensic Medicine (536 citations). S Sasayama has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Akira Matsumori, Toshinori Hirai, Masatoshi Fujita, Hidetsugu Asanoi, Takeshi Kawasaki, Shinichi Yagi, Toshiyuki Yamada, David W. Franklin, C Kawai and Hisayoshi Fujiwara. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Journal of the American College of Cardiology.
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.