Mayuko Ishikawa

476 citations
22 papers · 357 · h-index 10

Impact in

Papers in

Mayuko Ishikawa

21 papers receiving 353 citations

Peers

Mayuko Ishikawa
Comparison fields: 5 of 66
  • Pharmacology 83
  • Cancer Research 42
  • Cardiology and Cardiovascular Medicine 48
  • Cellular and Molecular Neuroscience 39
  • Surgery 78
Replace Zuocheng Wang with:
Zuocheng Wang Canada
Corinna Dickel Germany
Vincent Healy Ireland
Iris Manthey Germany
George M. Albright United States
Beate Enigk Germany
Oana Herlea‐Pana United States
Sadahiko Iwamoto Japan
Lan Xu China
Yunzhe Bai Japan
Mayuko Ishikawa relative to Zuocheng Wang Canada Zuocheng Wang's profile →
Citations per field
00.5×1.5×2.5×
Zuocheng Wang · 1×
Citations per year

Countries citing papers authored by Mayuko Ishikawa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mayuko Ishikawa Line = papers co-authored together Mayuko Ishikawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200491
2 201178
3 200948
4 201424
5 201324
6 201114
7 200113
8 201212
9 200911
10 20179
11 19967
12 20156
13 19936
14 20105
15 20163
16 19961
17 20221
18 20111
19 20141
20 20141

About Mayuko Ishikawa

Mayuko Ishikawa is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 357 indexed citations. Recurring topics across this work include Apelin-related biomedical research (4 papers), Coronary Interventions and Diagnostics (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Mitochondrial Function and Pathology (3 papers), Paraoxonase enzyme and polymorphisms (2 papers), Receptor Mechanisms and Signaling (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Pharmacology (83 citations), Cancer Research (42 citations), Cardiology and Cardiovascular Medicine (48 citations), Cellular and Molecular Neuroscience (39 citations) and Surgery (78 citations). Mayuko Ishikawa has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Toshihiko Ishimitsu, Fumihiro Sugiyama, Hiroshi Takeshima, Naohiko Kobayashi, Senji Shirasawa, Takehiko Sasazuki, Naohiko Kobayashi, Hajime Tamai, Naofumi Ishikawa and Haruhito Harada. Their work appears in journals such as Heart and Vessels, Journal of Cardiac Failure, Current Genetics, Biochemical and Biophysical Research Communications and Bioscience Biotechnology and Biochemistry.

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.

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