Mayuko Ishikawa
Impact in
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- Apelin-related biomedical research
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- Cancer-related molecular mechanisms research
Papers in
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- Photosynthetic Processes and Mechanisms 3
- Mitochondrial Function and Pathology 3
- ATP Synthase and ATPases Research 2
- Receptor Mechanisms and Signaling 2
- Surgery 6
- Coronary Interventions and Diagnostics 3
- Co-authors
- Toshihiko Ishimitsu (10 shared papers)Fumihiro Sugiyama (6 shared papers)Hiroshi Takeshima (5 shared papers)Naohiko Kobayashi (2 shared papers)Senji Shirasawa (2 shared papers)Takehiko Sasazuki (2 shared papers)Naohiko Kobayashi (5 shared papers)Sumihisa Kubota (1 shared paper)
In The Last Decade
Mayuko Ishikawa
21 papers receiving 348 citations
Peers
Comparison fields: 5 of 72
- Pharmacology 82
- Cancer Research 44
- Cardiology and Cardiovascular Medicine 57
- Cellular and Molecular Neuroscience 43
- Endocrinology, Diabetes and Metabolism 38
Countries citing papers authored by Mayuko Ishikawa
This map shows the geographic impact of Mayuko Ishikawa'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 Mayuko Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayuko Ishikawa more than expected).
Fields of papers citing papers by Mayuko Ishikawa
This network shows the impact of papers produced by Mayuko Ishikawa. 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 Mayuko Ishikawa. The network helps show where Mayuko Ishikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayuko Ishikawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 91 | |
| 2 | 2011 | 77 | |
| 3 | 2009 | 46 | |
| 4 | 2013 | 24 | |
| 5 | 2014 | 22 | |
| 6 | 2011 | 14 | |
| 7 | 2001 | 13 | |
| 8 | 2012 | 12 | |
| 9 | 2009 | 11 | |
| 10 | 2017 | 9 | |
| 11 | 1996 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 1993 | 6 | |
| 14 | 2010 | 5 | |
| 15 | 2016 | 3 | |
| 16 | 2014 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2011 | 1 |
About Mayuko Ishikawa
Mayuko Ishikawa is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 352 indexed citations. Recurring topics across this work include Apelin-related biomedical research (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Coronary Interventions and Diagnostics (3 papers), Mitochondrial Function and Pathology (3 papers), Cardiac Valve Diseases and Treatments (3 papers), ATP Synthase and ATPases Research (2 papers), Paraoxonase enzyme and polymorphisms (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Pharmacology (82 citations), Cancer Research (44 citations), Cardiology and Cardiovascular Medicine (57 citations), Cellular and Molecular Neuroscience (43 citations) and Endocrinology, Diabetes and Metabolism (38 citations). Mayuko Ishikawa has collaborated with scholars based in Japan, France and Greece. Frequent co-authors include Toshihiko Ishimitsu, Fumihiro Sugiyama, Hiroshi Takeshima, Naohiko Kobayashi, Senji Shirasawa, Takehiko Sasazuki, Naohiko Kobayashi, Sumihisa Kubota, Hitomi Hiratani and Masayuki Aoki. Their work appears in journals such as Heart and Vessels, Journal of Cardiac Failure, Current Genetics, Circulation Journal and Journal of Hypertension.
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.