Dong Wu
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics, phytochemicals, and oxidative stress 4
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 3
- Oncology 6
- Co-authors
- Sanyuan Hu (5 shared papers)Tianwen Lai (4 shared papers)Ying Qing (4 shared papers)Bin Wu (4 shared papers)Jianwei Xu (2 shared papers)Tengfei Yin (2 shared papers)Dongming Li (3 shared papers)Taiping Zhang (1 shared paper)
- Journals
- Frontiers in Oncology (3 papers)Cancer Letters (2 papers)Cell Death and Disease (2 papers)International Journal of COPD (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Dong Wu
38 papers receiving 856 citations
Peers
Comparison fields: 5 of 104
- Biological Psychiatry 45
- Cancer Research 236
- Behavioral Neuroscience 26
- Molecular Biology 478
- Developmental Neuroscience 22
Countries citing papers authored by Dong Wu
This map shows the geographic impact of Dong 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 Dong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Wu more than expected).
Fields of papers citing papers by Dong Wu
This network shows the impact of papers produced by Dong 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 Dong Wu. The network helps show where Dong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 153 | |
| 2 | 2014 | 66 | |
| 3 | 2015 | 62 | |
| 4 | 2019 | 42 | |
| 5 | 2016 | 40 | |
| 6 | 2016 | 39 | |
| 7 | 2019 | 37 | |
| 8 | 2016 | 36 | |
| 9 | 2022 | 34 | |
| 10 | 2017 | 34 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 26 | |
| 13 | 2018 | 24 | |
| 14 | 2018 | 24 | |
| 15 | Tanshinone IIA induces apoptosis and autophagy in acute monocytic leukemia via downregulation of PI3K/Akt pathway. | 2019 | 24 |
| 16 | 2016 | 20 | |
| 17 | 2022 | 20 | |
| 18 | 2014 | 17 | |
| 19 | 2020 | 17 | |
| 20 | 2022 | 16 |
About Dong Wu
Dong Wu is a scholar working on Molecular Biology, Oncology, Neurology, Cancer Research and Surgery, having authored 39 papers that have together received 869 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Tryptophan and brain disorders (3 papers), RNA modifications and cancer (3 papers), Autophagy in Disease and Therapy (3 papers), Ferroptosis and cancer prognosis (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Biological Psychiatry (45 citations), Cancer Research (236 citations), Behavioral Neuroscience (26 citations), Molecular Biology (478 citations) and Developmental Neuroscience (22 citations). Dong Wu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Sanyuan Hu, Tianwen Lai, Ying Qing, Bin Wu, Jianwei Xu, Tengfei Yin, Dongming Li, Taiping Zhang, Hanxiang Zhan and Fei Hong. Their work appears in journals such as Frontiers in Oncology, Cancer Letters, Cell Death and Disease, International Journal of COPD and Frontiers in Pharmacology.
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.