Jun Ito
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Smart Agriculture and AI
Papers in
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- Advanced Proteomics Techniques and Applications 7
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- Cellular transport and secretion 4
- Co-authors
- Joshua L. Heazlewood (11 shared papers)A. Harvey Millar (7 shared papers)Adam Carroll (1 shared paper)Takeo Fujiwara (5 shared papers)Masao Tasaka (3 shared papers)Tomohiro Uemura (3 shared papers)Takashi Ueda (3 shared papers)Akihiko Nakano (3 shared papers)
- Journals
- Anesthesia & Analgesia (3 papers)PLoS ONE (3 papers)Journal of Proteome Research (3 papers)The Plant Journal (3 papers)Plant and Cell Physiology (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Jun Ito
69 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 86
- Cell Biology 149
- Plant Science 406
- Biotechnology 52
- Spectroscopy 113
- Molecular Biology 386
Countries citing papers authored by Jun Ito
This map shows the geographic impact of Jun 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 Jun Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ito more than expected).
Fields of papers citing papers by Jun Ito
This network shows the impact of papers produced by Jun 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 Jun Ito. The network helps show where Jun Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ito, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 196 | |
| 2 | 2007 | 168 | |
| 3 | 2012 | 159 | |
| 4 | 2013 | 129 | |
| 5 | 2014 | 129 | |
| 6 | 2020 | 115 | |
| 7 | 2010 | 110 | |
| 8 | 2016 | 109 | |
| 9 | 2012 | 93 | |
| 10 | 2016 | 91 | |
| 11 | 2009 | 74 | |
| 12 | 2000 | 63 | |
| 13 | 2011 | 55 | |
| 14 | 2013 | 55 | |
| 15 | 2013 | 54 | |
| 16 | 2006 | 53 | |
| 17 | 2003 | 42 | |
| 18 | 2013 | 35 | |
| 19 | 2011 | 34 | |
| 20 | 2013 | 31 |
About Jun Ito
Jun Ito is a scholar working on Spectroscopy, Cell Biology, Cardiology and Cardiovascular Medicine, Surgery and Plant Science, having authored 73 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Cellular transport and secretion (4 papers), Plant Molecular Biology Research (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Breastfeeding Practices and Influences (2 papers), Pluripotent Stem Cells Research (2 papers) and Total Knee Arthroplasty Outcomes (2 papers). The work is most often cited by research in Cell Biology (149 citations), Plant Science (406 citations), Biotechnology (52 citations), Spectroscopy (113 citations) and Molecular Biology (386 citations). Jun Ito has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Joshua L. Heazlewood, A. Harvey Millar, Adam Carroll, Takeo Fujiwara, Masao Tasaka, Tomohiro Uemura, Takashi Ueda, Akihiko Nakano, Christopher J. Petzold and Masahiko Furutani. Their work appears in journals such as Anesthesia & Analgesia, PLoS ONE, Journal of Proteome Research, The Plant Journal and Plant and Cell Physiology.
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.