Changwu Wu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 5
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- Ferroptosis and cancer prognosis 11
- Sarcoma Diagnosis and Treatment 3
- Co-authors
- Wenyong Long (11 shared papers)Nikolas Schopow (9 shared papers)Chaoying Qin (9 shared papers)Qing Liu (8 shared papers)Georg Osterhoff (8 shared papers)Sonja Kallendrusch (6 shared papers)Kai Xiao (5 shared papers)Chao Deng (3 shared papers)
- Journals
- Frontiers in Oncology (4 papers)Heliyon (4 papers)Journal of Cellular and Molecular Medicine (3 papers)Journal of Biomedical Science (2 papers)Journal Of Big Data (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Changwu Wu
36 papers receiving 433 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 87
- Geology 26
- Genetics 37
- Immunology 69
- Molecular Medicine 15
Countries citing papers authored by Changwu Wu
This map shows the geographic impact of Changwu 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 Changwu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changwu Wu more than expected).
Fields of papers citing papers by Changwu Wu
This network shows the impact of papers produced by Changwu 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 Changwu Wu. The network helps show where Changwu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Changwu 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 | 2023 | 56 | |
| 2 | 2022 | 44 | |
| 3 | 2022 | 37 | |
| 4 | 2019 | 33 | |
| 5 | 2020 | 29 | |
| 6 | 2024 | 24 | |
| 7 | 2018 | 24 | |
| 8 | 2019 | 19 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2024 | 15 | |
| 12 | 2022 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 8 | |
| 19 | Accumulation Feature of Lula Oilfield and Its Exploratory Implication for Pre-saltReservoirs in Santos Basin, Brazil | 2013 | 6 |
| 20 | 2024 | 6 |
About Changwu Wu
Changwu Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Oncology, having authored 39 papers that have together received 439 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (11 papers), Glioma Diagnosis and Treatment (9 papers), Hydrocarbon exploration and reservoir analysis (6 papers), RNA modifications and cancer (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Epigenetics and DNA Methylation (5 papers), Geological and Geophysical Studies (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (87 citations), Geology (26 citations), Genetics (37 citations), Immunology (69 citations) and Molecular Medicine (15 citations). Changwu Wu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Wenyong Long, Nikolas Schopow, Chaoying Qin, Qing Liu, Georg Osterhoff, Sonja Kallendrusch, Kai Xiao, Chao Deng, Qun Xiao and Xiangyu Wang. Their work appears in journals such as Frontiers in Oncology, Heliyon, Journal of Cellular and Molecular Medicine, Journal of Biomedical Science and Journal Of Big Data.
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.