Dejun Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- Circular RNAs in diseases
Papers in
-
- RNA modifications and cancer 2
- Oncology 6
- Cancer Cells and Metastasis 2
- Lung Cancer Research Studies 2
- Polyomavirus and related diseases 1
- Co-authors
- Zhijun Min (7 shared papers)Yang Zhou (7 shared papers)Tingfeng Wang (3 shared papers)Bo Yu (3 shared papers)Yingjun Quan (6 shared papers)Yusheng Chen (3 shared papers)Xiyi Wei (2 shared papers)Leland W.K. Chung (1 shared paper)
- Journals
- OncoTargets and Therapy (2 papers)Journal of Hematology & Oncology (1 paper)Oncogene (1 paper)Cancer Biology & Therapy (1 paper)PeerJ (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Dejun Wu
19 papers receiving 492 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 170
- Molecular Biology 293
- Applied Microbiology and Biotechnology 6
- Oncology 82
- Pulmonary and Respiratory Medicine 74
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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 208 | |
| 2 | 2011 | 72 | |
| 3 | 2020 | 27 | |
| 4 | 2023 | 26 | |
| 5 | 2019 | 25 | |
| 6 | 2020 | 21 | |
| 7 | 2023 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2024 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2025 | 7 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | [Quantitative genetic analysis and multiple trait selection of pharmaceutical composition on Ginkgo biloba L. leaves]. | 2002 | 2 |
| 19 | 2024 | 1 |
About Dejun Wu
Dejun Wu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Cell Biology, having authored 19 papers that have together received 493 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (2 papers), Lung Cancer Research Studies (2 papers), Autophagy in Disease and Therapy (2 papers), RNA modifications and cancer (2 papers), Ferroptosis and cancer prognosis (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Polyomavirus and related diseases (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Cancer Research (170 citations), Molecular Biology (293 citations), Applied Microbiology and Biotechnology (6 citations), Oncology (82 citations) and Pulmonary and Respiratory Medicine (74 citations). Dejun Wu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhijun Min, Yang Zhou, Tingfeng Wang, Bo Yu, Yingjun Quan, Yusheng Chen, Xiyi Wei, Leland W.K. Chung, Yusheng Chen and Zhenhua Yin. Their work appears in journals such as OncoTargets and Therapy, Journal of Hematology & Oncology, Oncogene, Cancer Biology & Therapy and PeerJ.
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.