Makoto Ito
- Molecular Biology top 1%
- Organic Chemistry top 2%
- Neurology top 0.5%
- Physiology top 2%
- Cell Biology top 1%
- Co-authors
- Nozomu OkinoMotohiro TaniToshio YamagataStephen M. HighsteinKatsuhiro KitaYasuyuki IgarashiMasatoshi YoshidaKeishi Sakaguchi
- Topics
- Glycosylation and Glycoproteins Research (66 papers)Sphingolipid Metabolism and Signaling (59 papers)Carbohydrate Chemistry and Synthesis (48 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Makoto Ito
264 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 4.4k
- Organic Chemistry 1.1k
- Neurology 1.1k
- Physiology 1.0k
- Cell Biology 957
Countries citing papers authored by Makoto Ito
This map shows the geographic impact of Makoto Ito'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 Makoto Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Ito more than expected).
Fields of papers citing papers by Makoto Ito
This network shows the impact of papers produced by Makoto Ito. 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 Makoto Ito. The network helps show where Makoto Ito may publish in the future.
Co-authorship network of co-authors of Makoto Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Ito. A scholar is included among the top collaborators of Makoto Ito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Makoto Ito. Makoto Ito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 13 | |
| 6 | N-oleoyl-D-erythro-sphingosine-based analysis of ceramide by high performance liquid chromatography and its application to determination in diverse biological samples | 1 |
| 7 | 1 | |
| 8 | 58 | |
| 9 | 38 | |
| 10 | 11 | |
| 11 | 49 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 32 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 1 |
About Makoto Ito
Makoto Ito is a scholar working on Biotechnology, Molecular Biology and Cell Biology, having authored 267 papers that have together received 7.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (66 papers), Sphingolipid Metabolism and Signaling (59 papers) and Carbohydrate Chemistry and Synthesis (48 papers). The work is most often cited by research in Neurology (1.1k citations), Sensory Systems (445 citations) and Molecular Biology (4.4k citations). Makoto Ito has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Nozomu Okino, Motohiro Tani, Toshio Yamagata, Stephen M. Highstein, Katsuhiro Kita, Yasuyuki Igarashi, Masatoshi Yoshida, Keishi Sakaguchi, Yasuhiro Hayashi and Jun Fukuda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.