Koji Ueda
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Molecular Biology top 2%
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
- Glycosylation and Glycoproteins Research
- RNA modifications and cancer
- Cancer-related gene regulation
- Circular RNAs in diseases
Papers in
-
- Extracellular vesicles in disease 23
- Glycosylation and Glycoproteins Research 16
- RNA modifications and cancer 11
- RNA Research and Splicing 8
- Epigenetics and DNA Methylation 8
- Oncology 16
- Peptidase Inhibition and Analysis 8
- Co-authors
- Yusuke Nakamura (11 shared papers)Yusuke Nakamura (15 shared papers)Hidewaki Nakagawa (12 shared papers)Koichi Matsuda (14 shared papers)Yataro Daigo (13 shared papers)Naomi Saichi (14 shared papers)Risa Fujii (15 shared papers)Chizu Tanikawa (8 shared papers)
- Journals
- International Journal of Molecular Sciences (8 papers)Cancer Research (6 papers)International Journal of Oncology (5 papers)Cancer Science (5 papers)Neoplasia (5 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Koji Ueda
126 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 790
- Molecular Biology 2.6k
- Immunology 454
- Nephrology 133
- Oncology 441
Countries citing papers authored by Koji Ueda
This map shows the geographic impact of Koji Ueda'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 Koji Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Ueda more than expected).
Fields of papers citing papers by Koji Ueda
This network shows the impact of papers produced by Koji Ueda. 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 Koji Ueda. The network helps show where Koji Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Koji Ueda, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 167 | |
| 2 | 2016 | 164 | |
| 3 | 2016 | 133 | |
| 4 | 2012 | 127 | |
| 5 | 2012 | 126 | |
| 6 | 2000 | 126 | |
| 7 | 2016 | 118 | |
| 8 | 2013 | 108 | |
| 9 | 2009 | 108 | |
| 10 | 2021 | 108 | |
| 11 | 2003 | 104 | |
| 12 | 2017 | 91 | |
| 13 | 2014 | 89 | |
| 14 | 2017 | 82 | |
| 15 | 2014 | 79 | |
| 16 | 2018 | 77 | |
| 17 | 2017 | 76 | |
| 18 | 2010 | 72 | |
| 19 | 2007 | 72 | |
| 20 | 2020 | 65 |
About Koji Ueda
Koji Ueda is a scholar working on Molecular Biology, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 129 papers that have together received 4.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (23 papers), Glycosylation and Glycoproteins Research (16 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), RNA modifications and cancer (11 papers), MicroRNA in disease regulation (10 papers), RNA Research and Splicing (8 papers), Epigenetics and DNA Methylation (8 papers) and Peptidase Inhibition and Analysis (8 papers). The work is most often cited by research in Cancer Research (790 citations), Molecular Biology (2.6k citations), Immunology (454 citations), Nephrology (133 citations) and Oncology (441 citations). Koji Ueda has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Yusuke Nakamura, Yusuke Nakamura, Hidewaki Nakagawa, Koichi Matsuda, Yataro Daigo, Naomi Saichi, Risa Fujii, Chizu Tanikawa, Ryuji Hamamoto and Ayako Tatsuguchi. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Research, International Journal of Oncology, Cancer Science and Neoplasia.
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.