Daisuke Oikawa
Impact in
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
- Epidemiology top 5%
- Autophagy in Disease and Therapy
Papers in
-
- Ubiquitin and proteasome pathways 16
- RNA regulation and disease 8
- Heat shock proteins research 4
- Cell Biology 18
- Endoplasmic Reticulum Stress and Disease 14
- Co-authors
- Yukio Kimata (6 shared papers)Kenji Kohno (5 shared papers)Takao Iwawaki (12 shared papers)Fuminori Tokunaga (30 shared papers)Yuki Ishiwata‐Kimata (2 shared papers)Mio Tokuda (5 shared papers)Yusuke Shimizu (1 shared paper)Masato Takeuchi (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Scientific Reports (4 papers)PLoS ONE (3 papers)Frontiers in Immunology (2 papers)Nature Communications (2 papers)
- Partner nations
- JapanVietnamUnited Kingdom
In The Last Decade
Daisuke Oikawa
56 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 100
- Cell Biology 1.0k
- Epidemiology 616
- Immunology 373
- Aging 30
- Molecular Biology 1.1k
Countries citing papers authored by Daisuke Oikawa
This map shows the geographic impact of Daisuke Oikawa'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 Daisuke Oikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Oikawa more than expected).
Fields of papers citing papers by Daisuke Oikawa
This network shows the impact of papers produced by Daisuke Oikawa. 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 Daisuke Oikawa. The network helps show where Daisuke Oikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Oikawa, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 246 | |
| 2 | 2004 | 223 | |
| 3 | 2012 | 149 | |
| 4 | 2018 | 143 | |
| 5 | 2009 | 139 | |
| 6 | 2010 | 125 | |
| 7 | 2016 | 123 | |
| 8 | 2007 | 90 | |
| 9 | 2012 | 74 | |
| 10 | 2013 | 69 | |
| 11 | 2022 | 53 | |
| 12 | 2012 | 50 | |
| 13 | 2019 | 41 | |
| 14 | 2020 | 40 | |
| 15 | 2016 | 39 | |
| 16 | 2005 | 35 | |
| 17 | 2008 | 34 | |
| 18 | 2020 | 31 | |
| 19 | 2021 | 30 | |
| 20 | 2007 | 29 |
About Daisuke Oikawa
Daisuke Oikawa is a scholar working on Molecular Biology, Cell Biology, Immunology, Cancer Research and Epidemiology, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (16 papers), Endoplasmic Reticulum Stress and Disease (14 papers), interferon and immune responses (8 papers), RNA regulation and disease (8 papers), NF-κB Signaling Pathways (8 papers), Autophagy in Disease and Therapy (6 papers), Heat shock proteins research (4 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). The work is most often cited by research in Cell Biology (1.0k citations), Epidemiology (616 citations), Immunology (373 citations), Aging (30 citations) and Molecular Biology (1.1k citations). Daisuke Oikawa has collaborated with scholars based in Japan, Vietnam and United Kingdom. Frequent co-authors include Yukio Kimata, Kenji Kohno, Takao Iwawaki, Fuminori Tokunaga, Yuki Ishiwata‐Kimata, Mio Tokuda, Yusuke Shimizu, Masato Takeuchi, Akira Hosoda and Tomohide Suzuki. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Reports, PLoS ONE, Frontiers in Immunology and Nature Communications.
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.