Yumi Ueda
Impact in
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- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
- ATP Synthase and ATPases Research
- RNA Interference and Gene Delivery
- Fibroblast Growth Factor Research
Papers in
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- Fibroblast Growth Factor Research 2
- PI3K/AKT/mTOR signaling in cancer 2
- Advanced biosensing and bioanalysis techniques 1
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- Lung Cancer Treatments and Mutations 3
- Co-authors
- York Tomita (5 shared papers)Shaomeng Wang (2 shared papers)Sheng Jiang (1 shared paper)Haiying Sun (1 shared paper)Krzysztof Krajewski (1 shared paper)Su Qiu (1 shared paper)Peter P. Roller (1 shared paper)Chao‐Yie Yang (1 shared paper)
- Journals
- Molecular Genetics and Genomics (1 paper)Journal of the American Chemical Society (1 paper)Medicine (1 paper)Journal of Medical Virology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Yumi Ueda
14 papers receiving 315 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 199
- Immunology 51
- Gastroenterology 12
- Oncology 53
- Cancer Research 28
Countries citing papers authored by Yumi Ueda
This map shows the geographic impact of Yumi 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 Yumi Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumi Ueda more than expected).
Fields of papers citing papers by Yumi Ueda
This network shows the impact of papers produced by Yumi 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 Yumi Ueda. The network helps show where Yumi Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Yumi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 166 | |
| 2 | 2005 | 33 | |
| 3 | 2007 | 24 | |
| 4 | 2010 | 22 | |
| 5 | 2022 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2010 | 12 | |
| 8 | 2012 | 11 | |
| 9 | 2021 | 8 | |
| 10 | 2013 | 6 | |
| 11 | 2018 | 4 | |
| 12 | 2015 | 2 | |
| 13 | 2014 | 1 | |
| 14 | 2015 | 1 | |
| 15 | 2024 | 0 |
About Yumi Ueda
Yumi Ueda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Genetics and Cancer Research, having authored 15 papers that have together received 321 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (3 papers), Influenza Virus Research Studies (2 papers), Fibroblast Growth Factor Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Connective tissue disorders research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Molecular Biology (199 citations), Immunology (51 citations), Gastroenterology (12 citations), Oncology (53 citations) and Cancer Research (28 citations). Yumi Ueda has collaborated with scholars based in Japan and United States. Frequent co-authors include York Tomita, Shaomeng Wang, Sheng Jiang, Haiying Sun, Krzysztof Krajewski, Su Qiu, Peter P. Roller, Chao‐Yie Yang, Jennifer L. Meagher and Jeanne A. Stuckey. Their work appears in journals such as Molecular Genetics and Genomics, Journal of the American Chemical Society, Medicine, Journal of Medical Virology and International Journal of Molecular Sciences.
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.