Mayuko Ishida
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Advanced Proteomics Techniques and Applications
Papers in
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- Sphingolipid Metabolism and Signaling 7
- Lipid Membrane Structure and Behavior 6
- Metabolomics and Mass Spectrometry Studies 5
- Enzyme Catalysis and Immobilization 1
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- Lipid metabolism and biosynthesis 5
- Co-authors
- Ryo Taguchi (13 shared papers)Junken Aoki (5 shared papers)Yumi Takeuchi (2 shared papers)Jun Hayakawa (2 shared papers)Masayoshi Imagawa (5 shared papers)Hiroyuki Arai (4 shared papers)Toshiaki Houjou (2 shared papers)Takao Shimizu (3 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Mass Spectrometry (2 papers)Rapid Communications in Mass Spectrometry (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- Japan
In The Last Decade
Mayuko Ishida
13 papers receiving 790 citations
Peers
Comparison fields: 5 of 83
- Biochemistry 173
- Spectroscopy 196
- Urology 53
- Molecular Biology 635
- Cell Biology 131
Countries citing papers authored by Mayuko Ishida
This map shows the geographic impact of Mayuko Ishida'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 Ishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayuko Ishida more than expected).
Fields of papers citing papers by Mayuko Ishida
This network shows the impact of papers produced by Mayuko Ishida. 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 Ishida. The network helps show where Mayuko Ishida may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayuko Ishida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 186 | |
| 2 | 2002 | 170 | |
| 3 | 2000 | 156 | |
| 4 | 2003 | 90 | |
| 5 | 2001 | 68 | |
| 6 | 2009 | 62 | |
| 7 | 2004 | 44 | |
| 8 | 2001 | 17 | |
| 9 | 2009 | 7 | |
| 10 | 2005 | 7 | |
| 11 | 2005 | 5 | |
| 12 | 2000 | 4 | |
| 13 | 2001 | 2 |
About Mayuko Ishida
Mayuko Ishida is a scholar working on Molecular Biology, Biochemistry, Spectroscopy, Physiology and Immunology, having authored 13 papers that have together received 818 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (7 papers), Lipid Membrane Structure and Behavior (6 papers), Lipid metabolism and biosynthesis (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Mast cells and histamine (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Biochemistry (173 citations), Spectroscopy (196 citations), Urology (53 citations), Molecular Biology (635 citations) and Cell Biology (131 citations). Mayuko Ishida has collaborated with scholars based in Japan. Frequent co-authors include Ryo Taguchi, Junken Aoki, Yumi Takeuchi, Jun Hayakawa, Masayoshi Imagawa, Hiroyuki Arai, Toshiaki Houjou, Takao Shimizu, Keizo Inoue and Hirofumi Sonoda. Their work appears in journals such as Journal of Biological Chemistry, Journal of Mass Spectrometry, Rapid Communications in Mass Spectrometry, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Journal of Medicinal Chemistry.
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.