Dan Wu
Impact in
- Biochemistry top 0.5%
- Sulfur Compounds in Biology
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Mitochondrial Function and Pathology 9
- Medicinal Plants and Bioactive Compounds 7
- Physiology 19
- Co-authors
- Qingxun Hu (15 shared papers)Francis Lin (7 shared papers)Yi Zhun Zhu (10 shared papers)Li‐Ling Wu (6 shared papers)Si Jin (6 shared papers)Shasha Xing (6 shared papers)Fang Bian (6 shared papers)Deqiu Zhu (6 shared papers)
- Journals
- PLoS ONE (8 papers)Oncotarget (5 papers)Oxidative Medicine and Cellular Longevity (5 papers)Scientific Reports (4 papers)Redox Biology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dan Wu
143 papers receiving 4.7k citations
Dan Wu's Hit Papers
Peers
Comparison fields: 5 of 166
- Biochemistry 467
- Cancer Research 448
- Molecular Biology 2.0k
- Geriatrics and Gerontology 90
- Pharmacology 217
Countries citing papers authored by Dan Wu
This map shows the geographic impact of Dan 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 Dan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).
Fields of papers citing papers by Dan Wu
This network shows the impact of papers produced by Dan 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 Dan Wu. The network helps show where Dan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 203 | |
| 2 | 2015 | 200 | |
| 3 | 2011 | 195 | |
| 4 | 2013 | 185 | |
| 5 | 2014 | 163 | |
| 6 | 2011 | 157 | |
| 7 | 2013 | 126 | |
| 8 | 2018 | 115 | |
| 9 | 2012 | 115 | |
| 10 | 2021 | 111 | |
| 11 | 2018 | 104 | |
| 12 | 2022 | 93 | |
| 13 | 2002 | 92 | |
| 14 | 2015 | 88 | |
| 15 | 2015 | 84 | |
| 16 | 2014 | 84 | |
| 17 | 2012 | 81 | |
| 18 | 2018 | 77 | |
| 19 | 2015 | 74 | |
| 20 | 2011 | 73 |
About Dan Wu
Dan Wu is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Biochemistry and Cancer Research, having authored 163 papers that have together received 4.7k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (12 papers), Mitochondrial Function and Pathology (9 papers), Medicinal Plants and Bioactive Compounds (7 papers), Traditional Chinese Medicine Analysis (6 papers), Multiple Myeloma Research and Treatments (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Alcohol Consumption and Health Effects (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Biochemistry (467 citations), Cancer Research (448 citations), Molecular Biology (2.0k citations), Geriatrics and Gerontology (90 citations) and Pharmacology (217 citations). Dan Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qingxun Hu, Francis Lin, Yi Zhun Zhu, Li‐Ling Wu, Si Jin, Shasha Xing, Fang Bian, Deqiu Zhu, Saravanan Nandagopal and Tao Zheng. Their work appears in journals such as PLoS ONE, Oncotarget, Oxidative Medicine and Cellular Longevity, Scientific Reports and Redox Biology.
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.