Fu Ou‐Yang
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Cancer-related molecular mechanisms research
Papers in
-
- Angiogenesis and VEGF in Cancer 3
- Oncology 12
- HER2/EGFR in Cancer Research 3
- Co-authors
- Mien‐Chie Hung (5 shared papers)Ming‐Feng Hou (22 shared papers)Weiya Xia (3 shared papers)Dung‐Fang Lee (3 shared papers)Yiyu Zou (2 shared papers)Jer-Yen Yang (2 shared papers)Mickey C.‐T. Hu (2 shared papers)Norihisa Hanada (2 shared papers)
- Journals
- Environmental Toxicology (3 papers)Antioxidants (3 papers)BMC Cancer (2 papers)International Journal of Molecular Sciences (2 papers)Cell (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Fu Ou‐Yang
46 papers receiving 2.0k citations
Fu Ou‐Yang's Hit Papers
Peers
Comparison fields: 5 of 114
- Aging 112
- Cancer Research 356
- Oncology 495
- Molecular Biology 1.2k
- Geriatrics and Gerontology 56
Countries citing papers authored by Fu Ou‐Yang
This map shows the geographic impact of Fu Ou‐Yang'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 Fu Ou‐Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu Ou‐Yang more than expected).
Fields of papers citing papers by Fu Ou‐Yang
This network shows the impact of papers produced by Fu Ou‐Yang. 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 Fu Ou‐Yang. The network helps show where Fu Ou‐Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fu Ou‐Yang, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IκB Kinase Promotes Tumorigenesis through Inhibition of Forkhead FOXO3a Hit paper breakdown → | 2004 | 757 |
| 2 | 2004 | 252 | |
| 3 | 2018 | 181 | |
| 4 | 2006 | 118 | |
| 5 | 2022 | 53 | |
| 6 | 2018 | 52 | |
| 7 | 2006 | 50 | |
| 8 | 2021 | 44 | |
| 9 | 2002 | 43 | |
| 10 | 2020 | 34 | |
| 11 | 2010 | 31 | |
| 12 | 2019 | 31 | |
| 13 | 2004 | 28 | |
| 14 | 2022 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2020 | 24 | |
| 17 | 2021 | 23 | |
| 18 | 2020 | 21 | |
| 19 | 2019 | 20 | |
| 20 | 2019 | 20 |
About Fu Ou‐Yang
Fu Ou‐Yang is a scholar working on Molecular Biology, Oncology, Complementary and alternative medicine, Cancer Research and Pathology and Forensic Medicine, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medicinal Plants and Neuroprotection (6 papers), Breast Lesions and Carcinomas (4 papers), HER2/EGFR in Cancer Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Phytochemicals and Medicinal Plants (3 papers), Phytochemistry and Bioactivity Studies (2 papers), Breast Cancer Treatment Studies (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Aging (112 citations), Cancer Research (356 citations), Oncology (495 citations), Molecular Biology (1.2k citations) and Geriatrics and Gerontology (56 citations). Fu Ou‐Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mien‐Chie Hung, Ming‐Feng Hou, Weiya Xia, Dung‐Fang Lee, Yiyu Zou, Jer-Yen Yang, Mickey C.‐T. Hu, Norihisa Hanada, Ryûji Kobayashi and Leonard S. Golfman. Their work appears in journals such as Environmental Toxicology, Antioxidants, BMC Cancer, International Journal of Molecular Sciences and Cell.
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.