Orie Tajima
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- Endocrinology top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 29
- Sphingolipid Metabolism and Signaling 10
- Lipid Membrane Structure and Behavior 4
- Extracellular vesicles in disease 3
- Immunology 10
- Galectins and Cancer Biology 4
- Co-authors
- Koichi Furukawa (33 shared papers)Keiko Furukawa (29 shared papers)Yuki Ohkawa (23 shared papers)Yuhsuke Ohmi (26 shared papers)Yasuo Sugiura (6 shared papers)Yoshio Yamauchi (4 shared papers)Mariko Kambe (10 shared papers)Kazunori Hamamura (6 shared papers)
- Journals
- Cancer Science (4 papers)Biochemical and Biophysical Research Communications (3 papers)International Journal of Molecular Sciences (3 papers)Geriatrics and gerontology international (2 papers)PLoS ONE (2 papers)
- Partner nations
- JapanBangladeshUnited States
In The Last Decade
Orie Tajima
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Immunology 274
- Endocrinology 66
- Cell Biology 202
- Molecular Biology 805
- Physiology 231
Countries citing papers authored by Orie Tajima
This map shows the geographic impact of Orie Tajima'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 Orie Tajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orie Tajima more than expected).
Fields of papers citing papers by Orie Tajima
This network shows the impact of papers produced by Orie Tajima. 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 Orie Tajima. The network helps show where Orie Tajima may publish in the future.
Co-authors
The 25 scholars most cited alongside Orie Tajima, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 148 | |
| 2 | 2010 | 98 | |
| 3 | 2009 | 81 | |
| 4 | 2011 | 79 | |
| 5 | 2019 | 65 | |
| 6 | 2012 | 56 | |
| 7 | 2005 | 50 | |
| 8 | 2018 | 45 | |
| 9 | 2000 | 43 | |
| 10 | 2011 | 40 | |
| 11 | 2008 | 36 | |
| 12 | 2011 | 30 | |
| 13 | 2021 | 29 | |
| 14 | 2008 | 29 | |
| 15 | 2014 | 28 | |
| 16 | 2015 | 26 | |
| 17 | 2013 | 25 | |
| 18 | 2014 | 24 | |
| 19 | 2017 | 22 | |
| 20 | 2008 | 21 |
About Orie Tajima
Orie Tajima is a scholar working on Molecular Biology, Immunology, Cell Biology, Physiology and Immunology and Allergy, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (29 papers), Sphingolipid Metabolism and Signaling (10 papers), Cell Adhesion Molecules Research (6 papers), Caveolin-1 and cellular processes (5 papers), Galectins and Cancer Biology (4 papers), Lipid Membrane Structure and Behavior (4 papers), Neuroblastoma Research and Treatments (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Immunology (274 citations), Endocrinology (66 citations), Cell Biology (202 citations), Molecular Biology (805 citations) and Physiology (231 citations). Orie Tajima has collaborated with scholars based in Japan, Bangladesh and United States. Frequent co-authors include Koichi Furukawa, Keiko Furukawa, Yuki Ohkawa, Yuhsuke Ohmi, Yasuo Sugiura, Yoshio Yamauchi, Mariko Kambe, Kazunori Hamamura, Yuji Kondo and Noriyo Tokuda. Their work appears in journals such as Cancer Science, Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences, Geriatrics and gerontology international and PLoS ONE.
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.