Lynn Ueno
Impact in
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- PI3K/AKT/mTOR signaling in cancer
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
Papers in
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- PI3K/AKT/mTOR signaling in cancer 5
- Protein Degradation and Inhibitors 3
- Melanoma and MAPK Pathways 2
- Cancer therapeutics and mechanisms 2
- Oncology 6
- Cancer-related Molecular Pathways 3
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Peter K. Vogt (12 shared papers)Dong Bai (1 shared paper)Jonathan R. Hart (10 shared papers)Yogesh K. Gupta (1 shared paper)Chandan Guha (1 shared paper)Stacey J. Baker (1 shared paper)Aneel K. Aggarwal (1 shared paper)M. V. Ramana Reddy (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Bioorganic & Medicinal Chemistry (2 papers)International Journal of Cancer (2 papers)Cell (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Lynn Ueno
13 papers receiving 920 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 127
- Molecular Biology 599
- Oncology 204
- Immunology 108
- Genetics 50
Countries citing papers authored by Lynn Ueno
This map shows the geographic impact of Lynn Ueno'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 Lynn Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Ueno more than expected).
Fields of papers citing papers by Lynn Ueno
This network shows the impact of papers produced by Lynn Ueno. 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 Lynn Ueno. The network helps show where Lynn Ueno may publish in the future.
Co-authors
The 25 scholars most cited alongside Lynn Ueno, 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 | 2009 | 434 | |
| 2 | 2016 | 206 | |
| 3 | 2014 | 115 | |
| 4 | 2015 | 53 | |
| 5 | 2014 | 37 | |
| 6 | 2008 | 34 | |
| 7 | 2009 | 17 | |
| 8 | 2022 | 11 | |
| 9 | 2018 | 9 | |
| 10 | 2011 | 7 | |
| 11 | 2014 | 3 | |
| 12 | 2009 | 2 | |
| 13 | 2021 | 2 |
About Lynn Ueno
Lynn Ueno is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Genetics and Cancer Research, having authored 13 papers that have together received 930 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Click Chemistry and Applications (3 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related Molecular Pathways (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Melanoma and MAPK Pathways (2 papers), Cancer therapeutics and mechanisms (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (127 citations), Molecular Biology (599 citations), Oncology (204 citations), Immunology (108 citations) and Genetics (50 citations). Lynn Ueno has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Peter K. Vogt, Dong Bai, Jonathan R. Hart, Yogesh K. Gupta, Chandan Guha, Stacey J. Baker, Aneel K. Aggarwal, M. V. Ramana Reddy, Rodrigo Vasquez‐Del Carpio and Indranil Basu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry, International Journal of Cancer, Cell and Bioorganic & Medicinal Chemistry Letters.
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.