Masayuki Saitoh
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Genetics
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Ken OkumuraTomohiro OsanaiKiminobu GotoToshiro MatsunagaSatoko SasakiHirofumi TomitaTaijiro OkabeRyoichi Takayanagi
- Topics
- Estrogen and related hormone effects (4 papers)Nitric Oxide and Endothelin Effects (3 papers)Mechanical Circulatory Support Devices (3 papers)
In The Last Decade
Masayuki Saitoh
21 papers receiving 628 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 212
- Cardiology and Cardiovascular Medicine 162
- Physiology 141
- Genetics 112
- Health, Toxicology and Mutagenesis 102
Countries citing papers authored by Masayuki Saitoh
This map shows the geographic impact of Masayuki Saitoh'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 Masayuki Saitoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Saitoh more than expected).
Fields of papers citing papers by Masayuki Saitoh
This network shows the impact of papers produced by Masayuki Saitoh. 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 Masayuki Saitoh. The network helps show where Masayuki Saitoh may publish in the future.
Co-authorship network of co-authors of Masayuki Saitoh
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Saitoh. A scholar is included among the top collaborators of Masayuki Saitoh 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 Masayuki Saitoh. Masayuki Saitoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | Activation of protein kinase A alters subnuclear distribution pattern of human steroidogenic factor 1 in living cells. | 1 |
| 7 | Enalapril Suppresses Ventricular Remodeling More Effectively Than Losartan in Patients with Acute Myocardial Infarction | 0 |
| 8 | 35 | |
| 9 | 57 | |
| 10 | 49 | |
| 11 | 64 | |
| 12 | 43 | |
| 13 | 37 | |
| 14 | 5 | |
| 15 | 125 | |
| 16 | 46 | |
| 17 | 15 | |
| 18 | 2 | |
| 19 | 38 | |
| 20 | 6 |
About Masayuki Saitoh
Masayuki Saitoh is a scholar working on Microbiology, Cardiology and Cardiovascular Medicine and Nephrology, having authored 23 papers that have together received 657 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Mechanical Circulatory Support Devices (3 papers). The work is most often cited by research in Microbiology (6 citations), Health, Toxicology and Mutagenesis (102 citations) and Cardiology and Cardiovascular Medicine (162 citations). Masayuki Saitoh has collaborated with scholars based in Japan and China. Frequent co-authors include Ken Okumura, Tomohiro Osanai, Kiminobu Goto, Toshiro Matsunaga, Satoko Sasaki, Hirofumi Tomita, Taijiro Okabe, Ryoichi Takayanagi, Hajime Nawata and Toshihiko Yanase. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Biochemical and Biophysical Research 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.