Danli Wu
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
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- Ion channel regulation and function
- Mitochondrial Function and Pathology
Papers in
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- Mitochondrial Function and Pathology 2
- Bacterial biofilms and quorum sensing 2
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- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Patricia Yotnda (7 shared papers)Pengyue Zhang (5 shared papers)Michael W. Pennington (1 shared paper)Redwan Huq (1 shared paper)Heike Wulff (1 shared paper)Shyny Koshy (1 shared paper)Christine Beeton (1 shared paper)Xueyou Hu (1 shared paper)
- Journals
- Journal of Visualized Experiments (4 papers)Clinical Cancer Research (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Oncotarget (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Danli Wu
21 papers receiving 822 citations
Peers
Comparison fields: 5 of 100
- Cancer Research 170
- Molecular Biology 364
- Neurology 38
- Genetics 41
- Oncology 83
Countries citing papers authored by Danli Wu
This map shows the geographic impact of Danli 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 Danli Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danli Wu more than expected).
Fields of papers citing papers by Danli Wu
This network shows the impact of papers produced by Danli 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 Danli Wu. The network helps show where Danli Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danli 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 232 | |
| 2 | 2011 | 213 | |
| 3 | 2011 | 70 | |
| 4 | 2011 | 55 | |
| 5 | 2013 | 50 | |
| 6 | 2010 | 44 | |
| 7 | 2022 | 26 | |
| 8 | 2011 | 25 | |
| 9 | 2023 | 20 | |
| 10 | 2020 | 14 | |
| 11 | 2008 | 14 | |
| 12 | 2015 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2012 | 11 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 5 | |
| 18 | 2020 | 4 | |
| 19 | Basic fibroblast growth factor expressed in Bacillus subtilis BS224 | 2002 | 1 |
| 20 | 2020 | 1 |
About Danli Wu
Danli Wu is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Genetics, having authored 21 papers that have together received 830 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Reproductive System and Pregnancy (2 papers), Mitochondrial Function and Pathology (2 papers), Bacterial biofilms and quorum sensing (2 papers), Stroke Rehabilitation and Recovery (2 papers), Mesenchymal stem cell research (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cancer Research (170 citations), Molecular Biology (364 citations), Neurology (38 citations), Genetics (41 citations) and Oncology (83 citations). Danli Wu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Patricia Yotnda, Pengyue Zhang, Michael W. Pennington, Redwan Huq, Heike Wulff, Shyny Koshy, Christine Beeton, Xueyou Hu, Rajeev B. Tajhya and Cheng‐Cai Zhang. Their work appears in journals such as Journal of Visualized Experiments, Clinical Cancer Research, Bioorganic & Medicinal Chemistry Letters, Oncotarget and Frontiers in Neuroscience.
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.