Takeshi Ijuin
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Endoplasmic Reticulum Stress and Disease
- Physiology top 2%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 12
- Metabolism, Diabetes, and Cancer 9
- PI3K/AKT/mTOR signaling in cancer 8
- Ubiquitin and proteasome pathways 4
- Cell Biology 22
- Cellular transport and secretion 19
- Endoplasmic Reticulum Stress and Disease 4
- Cellular Mechanics and Interactions 3
- Co-authors
- Tadaomi Takenawa (24 shared papers)Toshiki Itoh (7 shared papers)Assia Shisheva (3 shared papers)Ognian C. Ikonomov (2 shared papers)Diego Sbrissa (2 shared papers)Yasuhiro Mochizuki (2 shared papers)Kazuya Tsujita (3 shared papers)Shiro Suetsugu (1 shared paper)
- Journals
- Journal of Biological Chemistry (11 papers)Molecular and Cellular Biology (4 papers)Cancer Science (2 papers)The Journal of Biochemistry (2 papers)Analytical Biochemistry (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Takeshi Ijuin
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Cell Biology 799
- Physiology 113
- Molecular Biology 1.1k
- Immunology and Allergy 85
- Physiology 170
Countries citing papers authored by Takeshi Ijuin
This map shows the geographic impact of Takeshi Ijuin'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 Takeshi Ijuin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Ijuin more than expected).
Fields of papers citing papers by Takeshi Ijuin
This network shows the impact of papers produced by Takeshi Ijuin. 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 Takeshi Ijuin. The network helps show where Takeshi Ijuin may publish in the future.
Co-authors
The 25 scholars most cited alongside Takeshi Ijuin, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 205 | |
| 2 | 2007 | 152 | |
| 3 | 2004 | 134 | |
| 4 | 2003 | 91 | |
| 5 | 2000 | 87 | |
| 6 | 2002 | 75 | |
| 7 | 1998 | 73 | |
| 8 | 1996 | 67 | |
| 9 | 2014 | 60 | |
| 10 | 2017 | 59 | |
| 11 | 2008 | 59 | |
| 12 | 2012 | 57 | |
| 13 | 2001 | 55 | |
| 14 | 2008 | 49 | |
| 15 | 2018 | 37 | |
| 16 | 2009 | 36 | |
| 17 | 2002 | 35 | |
| 18 | 2003 | 34 | |
| 19 | 2012 | 31 | |
| 20 | 2019 | 29 |
About Takeshi Ijuin
Takeshi Ijuin is a scholar working on Molecular Biology, Cell Biology, Surgery, Genetics and Physiology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (19 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Metabolism, Diabetes, and Cancer (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Pancreatic function and diabetes (5 papers), Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Cell Biology (799 citations), Physiology (113 citations), Molecular Biology (1.1k citations), Immunology and Allergy (85 citations) and Physiology (170 citations). Takeshi Ijuin has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tadaomi Takenawa, Toshiki Itoh, Assia Shisheva, Ognian C. Ikonomov, Diego Sbrissa, Yasuhiro Mochizuki, Kazuya Tsujita, Shiro Suetsugu, Tsukasa Oikawa and Daisuke Yamazaki. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Cancer Science, The Journal of Biochemistry and Analytical Biochemistry.
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.