Jun Ishiguro
Impact in
- Physiology top 10%
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- Sphingolipid Metabolism and Signaling
- Receptor Mechanisms and Signaling
- Lipid Membrane Structure and Behavior
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Sphingolipid Metabolism and Signaling 4
- Receptor Mechanisms and Signaling 2
- Lipid Membrane Structure and Behavior 2
- Protein Kinase Regulation and GTPase Signaling 1
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- Erythrocyte Function and Pathophysiology 1
- Adenosine and Purinergic Signaling 1
- Calcium signaling and nucleotide metabolism 1
- Co-authors
- Asuka Inoue (5 shared papers)Junken Aoki (5 shared papers)Kumiko Makide (4 shared papers)Michiyo Okutani (2 shared papers)Naoaki Arima (2 shared papers)Hiroyuki Arai (2 shared papers)Tomohiko Ohwada (2 shared papers)Akira Shuto (2 shared papers)
- Journals
- Journal of Lipid Research (1 paper)Journal of Medicinal Chemistry (1 paper)Journal of Pharmacy and Pharmacology (1 paper)Nature Methods (1 paper)The EMBO Journal (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Jun Ishiguro
6 papers receiving 585 citations
Peers
Comparison fields: 5 of 82
- Physiology 45
- Molecular Biology 424
- Biochemistry 43
- Cell Biology 85
- Urology 29
Countries citing papers authored by Jun Ishiguro
This map shows the geographic impact of Jun Ishiguro'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 Jun Ishiguro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ishiguro more than expected).
Fields of papers citing papers by Jun Ishiguro
This network shows the impact of papers produced by Jun Ishiguro. 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 Jun Ishiguro. The network helps show where Jun Ishiguro may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ishiguro, 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 | 2012 | 289 | |
| 2 | 2014 | 132 | |
| 3 | 2011 | 113 | |
| 4 | 2015 | 40 | |
| 5 | 2016 | 14 | |
| 6 | 2015 | 1 |
About Jun Ishiguro
Jun Ishiguro is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Urology and Cell Biology, having authored 6 papers that have together received 589 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (4 papers), Receptor Mechanisms and Signaling (2 papers), Lipid Membrane Structure and Behavior (2 papers), Erythrocyte Function and Pathophysiology (1 paper), Hair Growth and Disorders (1 paper), Adenosine and Purinergic Signaling (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Physiology (45 citations), Molecular Biology (424 citations), Biochemistry (43 citations), Cell Biology (85 citations) and Urology (29 citations). Jun Ishiguro has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Asuka Inoue, Junken Aoki, Kumiko Makide, Michiyo Okutani, Naoaki Arima, Hiroyuki Arai, Tomohiko Ohwada, Akira Shuto, Hajime Kitamura and Shigeki Higashiyama. Their work appears in journals such as Journal of Lipid Research, Journal of Medicinal Chemistry, Journal of Pharmacy and Pharmacology, Nature Methods and The EMBO Journal.
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.