Jin‐ichi Ito
Impact in
- Cell Biology top 5%
- Caveolin-1 and cellular processes
- Developmental Neuroscience top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 9
- Fibroblast Growth Factor Research 7
- Peroxisome Proliferator-Activated Receptors 4
- Sphingolipid Metabolism and Signaling 4
- Surgery 16
- Cholesterol and Lipid Metabolism 13
- Co-authors
- Shinji Yokoyama (17 shared papers)Yuko Nagayasu (14 shared papers)Taiji Kato (20 shared papers)Ryo Tanaka (15 shared papers)Makoto Michikawa (7 shared papers)Sumiko Abe-Dohmae (3 shared papers)Reijiro Arakawa (1 shared paper)Alireza Kheirollah (6 shared papers)
- Journals
- Brain Research (10 papers)Journal of Lipid Research (6 papers)Journal of Neurochemistry (4 papers)Developmental Brain Research (3 papers)Proceedings of the Japan Academy Series B (2 papers)
- Partner nations
- JapanIranUnited States
In The Last Decade
Jin‐ichi Ito
54 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Cell Biology 223
- Developmental Neuroscience 49
- Molecular Biology 633
- Biochemistry 56
- Neurology 59
Countries citing papers authored by Jin‐ichi Ito
This map shows the geographic impact of Jin‐ichi 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 Jin‐ichi Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐ichi Ito more than expected).
Fields of papers citing papers by Jin‐ichi Ito
This network shows the impact of papers produced by Jin‐ichi 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 Jin‐ichi Ito. The network helps show where Jin‐ichi Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin‐ichi 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 91 | |
| 2 | 2000 | 86 | |
| 3 | 2002 | 63 | |
| 4 | 1999 | 63 | |
| 5 | 2000 | 62 | |
| 6 | 2016 | 34 | |
| 7 | 1984 | 31 | |
| 8 | 1981 | 30 | |
| 9 | 2014 | 29 | |
| 10 | 2002 | 29 | |
| 11 | 2005 | 29 | |
| 12 | 2004 | 26 | |
| 13 | 2014 | 25 | |
| 14 | 1988 | 24 | |
| 15 | 2004 | 23 | |
| 16 | 1986 | 22 | |
| 17 | 2002 | 22 | |
| 18 | 1999 | 20 | |
| 19 | 1981 | 20 | |
| 20 | 2006 | 18 |
About Jin‐ichi Ito
Jin‐ichi Ito is a scholar working on Molecular Biology, Surgery, Cell Biology, Cellular and Molecular Neuroscience and Physiology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (13 papers), Caveolin-1 and cellular processes (10 papers), Glycosylation and Glycoproteins Research (9 papers), Fibroblast Growth Factor Research (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Sphingolipid Metabolism and Signaling (4 papers). The work is most often cited by research in Cell Biology (223 citations), Developmental Neuroscience (49 citations), Molecular Biology (633 citations), Biochemistry (56 citations) and Neurology (59 citations). Jin‐ichi Ito has collaborated with scholars based in Japan, Iran and United States. Frequent co-authors include Shinji Yokoyama, Yuko Nagayasu, Taiji Kato, Ryo Tanaka, Makoto Michikawa, Sumiko Abe-Dohmae, Reijiro Arakawa, Alireza Kheirollah, Koichi Kato and Tatsuo Suzuki. Their work appears in journals such as Brain Research, Journal of Lipid Research, Journal of Neurochemistry, Developmental Brain Research and Proceedings of the Japan Academy Series B.
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.