Dejun Wu
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 6
- Cancer Cells and Metastasis 3
- Cancer Immunotherapy and Biomarkers 1
- Pancreatic and Hepatic Oncology Research 1
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- Cancer-related molecular mechanisms research 1
- Co-authors
- Zhijun Min (8 shared papers)Yang Zhou (8 shared papers)Bo Yu (4 shared papers)Tingfeng Wang (2 shared papers)Yingjun Quan (7 shared papers)Yusheng Chen (4 shared papers)Xiyi Wei (2 shared papers)Dagui Chen (1 shared paper)
- Journals
- OncoTargets and Therapy (2 papers)BMC Cancer (1 paper)International Journal of Oncology (1 paper)Digestive Diseases and Sciences (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Dejun Wu
20 papers receiving 692 citations
Peers
Comparison fields: 5 of 52
- Cancer Research 144
- Oncology 186
- Molecular Biology 295
- Pulmonary and Respiratory Medicine 92
- Cell Biology 27
Countries citing papers authored by Dejun Wu
This map shows the geographic impact of Dejun 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 Dejun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Wu more than expected).
Fields of papers citing papers by Dejun Wu
This network shows the impact of papers produced by Dejun 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 Dejun Wu. The network helps show where Dejun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejun 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 216 | |
| 2 | 2016 | 146 | |
| 3 | 2011 | 74 | |
| 4 | 2023 | 30 | |
| 5 | 2020 | 28 | |
| 6 | 2021 | 28 | |
| 7 | 2019 | 27 | |
| 8 | 2020 | 21 | |
| 9 | 2023 | 20 | |
| 10 | 2024 | 20 | |
| 11 | 2023 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2020 | 10 | |
| 16 | 2025 | 10 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 1 |
About Dejun Wu
Dejun Wu is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Hepatology, having authored 22 papers that have together received 699 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Immune cells in cancer (1 paper), COVID-19 Clinical Research Studies (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Cancer Research (144 citations), Oncology (186 citations), Molecular Biology (295 citations), Pulmonary and Respiratory Medicine (92 citations) and Cell Biology (27 citations). Dejun Wu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhijun Min, Yang Zhou, Bo Yu, Tingfeng Wang, Yingjun Quan, Yusheng Chen, Xiyi Wei, Dagui Chen, Peter Nelson and Jianping Shi. Their work appears in journals such as OncoTargets and Therapy, BMC Cancer, International Journal of Oncology, Digestive Diseases and Sciences and British Journal of Cancer.
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.