Warren Wu
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
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- Genomics, phytochemicals, and oxidative stress
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Glutathione Transferases and Polymorphisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
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- Genomics, phytochemicals, and oxidative stress 5
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
-
- Cancer, Hypoxia, and Metabolism 2
- MicroRNA in disease regulation 1
- Co-authors
- Thales Papagiannakopoulos (7 shared papers)Sarah E. LeBoeuf (4 shared papers)Triantafyllia Karakousi (3 shared papers)Shawn M. Davidson (2 shared papers)Volkan I. Sayin (2 shared papers)Todd S. Macfarlan (3 shared papers)Peng Yang (2 shared papers)Douglas E. Biancur (2 shared papers)
- Journals
- Cell Metabolism (2 papers)Genes & Development (1 paper)Scientific Reports (1 paper)Electrophoresis (1 paper)BioEssays (1 paper)
- Partner nations
- United StatesTaiwanMaldives
In The Last Decade
Warren Wu
13 papers receiving 694 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 182
- Molecular Biology 568
- Biochemistry 35
- Oncology 89
- Immunology 54
Countries citing papers authored by Warren Wu
This map shows the geographic impact of Warren Wu'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 Warren Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren Wu more than expected).
Fields of papers citing papers by Warren Wu
This network shows the impact of papers produced by Warren Wu. 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 Warren Wu. The network helps show where Warren Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Warren Wu, 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 | 2017 | 175 | |
| 2 | 2015 | 126 | |
| 3 | 2019 | 105 | |
| 4 | 2021 | 71 | |
| 5 | 2020 | 58 | |
| 6 | 2021 | 57 | |
| 7 | 2020 | 48 | |
| 8 | 2015 | 21 | |
| 9 | 2014 | 17 | |
| 10 | 2023 | 14 | |
| 11 | 2020 | 6 | |
| 12 | 2008 | 5 | |
| 13 | 2016 | 2 | |
| 14 | 2025 | 0 | |
| 15 | 2020 | 0 |
About Warren Wu
Warren Wu is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Genetics and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 705 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (5 papers), Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), MicroRNA in disease regulation (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cancer Research (182 citations), Molecular Biology (568 citations), Biochemistry (35 citations), Oncology (89 citations) and Immunology (54 citations). Warren Wu has collaborated with scholars based in United States, Taiwan and Maldives. Frequent co-authors include Thales Papagiannakopoulos, Sarah E. LeBoeuf, Triantafyllia Karakousi, Shawn M. Davidson, Volkan I. Sayin, Todd S. Macfarlan, Peng Yang, Douglas E. Biancur, Andreia Silva and Ernst‐Martin Füchtbauer. Their work appears in journals such as Cell Metabolism, Genes & Development, Scientific Reports, Electrophoresis and BioEssays.
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.