Masao Saotome
- Molecular Biology top 5%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 5%
- Epidemiology
- Co-authors
- György HajnóczkySudipto DasHideharu HayashiHideki KatohGyörgy CsordásTsuyoshi UrushidaMuqing YiCecilia Garcı́a-Pérez
- Topics
- Mitochondrial Function and Pathology (18 papers)Cardiovascular Function and Risk Factors (10 papers)Cardiac electrophysiology and arrhythmias (10 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Masao Saotome
80 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.4k
- Physiology 591
- Cardiology and Cardiovascular Medicine 503
- Cellular and Molecular Neuroscience 324
- Epidemiology 245
Countries citing papers authored by Masao Saotome
This map shows the geographic impact of Masao Saotome'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 Masao Saotome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masao Saotome more than expected).
Fields of papers citing papers by Masao Saotome
This network shows the impact of papers produced by Masao Saotome. 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 Masao Saotome. The network helps show where Masao Saotome may publish in the future.
Co-authorship network of co-authors of Masao Saotome
This figure shows the co-authorship network connecting the top 25 collaborators of Masao Saotome. A scholar is included among the top collaborators of Masao Saotome 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 Masao Saotome. Masao Saotome 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 | 1 | |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 99 | |
| 7 | 8 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 70 | |
| 13 | 71 | |
| 14 | 498 | |
| 15 | Direct Effects of Protein Kinase A on Mitochondrial Membrane Potential and Redox State are Mediated by Reactive Oxygen Species(ROS)(Metabolism/Biochemistry/Energetics 2 (IHD), The 69th Annual Scientific Meeting of the Japanese Circulation Society) | 1 |
| 16 | 6 | |
| 17 | 73 | |
| 18 | 47 | |
| 19 | 9 | |
| 20 | 3 |
About Masao Saotome
Masao Saotome is a scholar working on Cardiology and Cardiovascular Medicine, Microbiology and Pathology and Forensic Medicine, having authored 82 papers that have together received 2.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (18 papers), Cardiovascular Function and Risk Factors (10 papers) and Cardiac electrophysiology and arrhythmias (10 papers). The work is most often cited by research in Clinical Biochemistry (193 citations), Physiology (591 citations) and Cardiology and Cardiovascular Medicine (503 citations). Masao Saotome has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include György Hajnóczky, Sudipto Das, Hideharu Hayashi, Hideki Katoh, György Csordás, Tsuyoshi Urushida, Muqing Yi, Cecilia Garcı́a-Pérez, Soumya Sinha Roy and Åsa Fransson. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.