M Kurono
Impact in
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- Sphingolipid Metabolism and Signaling
- Glycosylation and Glycoproteins Research
- RNA Interference and Gene Delivery
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- Diabetes Treatment and Management
Papers in
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- Chemical Synthesis and Analysis 6
- Sphingolipid Metabolism and Signaling 5
- Receptor Mechanisms and Signaling 4
- Glycosylation and Glycoproteins Research 3
- Lipid Membrane Structure and Behavior 3
- Protein Kinase Regulation and GTPase Signaling 2
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- Carbohydrate Chemistry and Synthesis 3
- Co-authors
- Isao Morishima (2 shared papers)Yoshitsugu Shiro (2 shared papers)Minoru Isobe (5 shared papers)Nobuko Ohishi (1 shared paper)Keiko Yagi (1 shared paper)Hirofumi Fukumoto (2 shared papers)Jun Takeda (2 shared papers)Yutaka Seino (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Tetrahedron (2 papers)Tetrahedron Letters (2 papers)Organic & Biomolecular Chemistry (1 paper)
- Partner nations
- Japan
In The Last Decade
M Kurono
29 papers receiving 629 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 375
- Endocrinology, Diabetes and Metabolism 76
- Cellular and Molecular Neuroscience 79
- Cell Biology 62
- Organic Chemistry 110
Countries citing papers authored by M Kurono
This map shows the geographic impact of M Kurono'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 M Kurono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Kurono more than expected).
Fields of papers citing papers by M Kurono
This network shows the impact of papers produced by M Kurono. 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 M Kurono. The network helps show where M Kurono may publish in the future.
Co-authors
The 25 scholars most cited alongside M Kurono, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 95 | |
| 2 | 1987 | 84 | |
| 3 | 1986 | 70 | |
| 4 | 1993 | 55 | |
| 5 | 2012 | 42 | |
| 6 | 1993 | 40 | |
| 7 | 1987 | 33 | |
| 8 | 1993 | 27 | |
| 9 | 1963 | 25 | |
| 10 | 2015 | 20 | |
| 11 | 2017 | 17 | |
| 12 | 1961 | 17 | |
| 13 | 1977 | 17 | |
| 14 | 2011 | 14 | |
| 15 | 2004 | 12 | |
| 16 | 2007 | 10 | |
| 17 | 2004 | 9 | |
| 18 | 1984 | 9 | |
| 19 | 1993 | 9 | |
| 20 | 2011 | 7 |
About M Kurono
M Kurono is a scholar working on Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience, Cell Biology and Pharmacology, having authored 29 papers that have together received 650 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (6 papers), Sphingolipid Metabolism and Signaling (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Glycosylation and Glycoproteins Research (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Molecular Biology (375 citations), Endocrinology, Diabetes and Metabolism (76 citations), Cellular and Molecular Neuroscience (79 citations), Cell Biology (62 citations) and Organic Chemistry (110 citations). M Kurono has collaborated with scholars based in Japan. Frequent co-authors include Isao Morishima, Yoshitsugu Shiro, Minoru Isobe, Nobuko Ohishi, Keiko Yagi, Hirofumi Fukumoto, Jun Takeda, Yutaka Seino, T. Kayano and Noboru Tomiya. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Tetrahedron, Tetrahedron Letters and Organic & Biomolecular 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.