Dejun Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
Papers in
- Oncology 8
- Cancer Cells and Metastasis 2
- Lung Cancer Research Studies 2
- Cancer Immunotherapy and Biomarkers 2
-
- RNA modifications and cancer 3
- 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)Peter S. Nelson (1 shared paper)
- Journals
- OncoTargets and Therapy (2 papers)Scientific Reports (1 paper)Oncology Reports (1 paper)BMC Cancer (1 paper)International Journal of Oncology (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Dejun Wu
18 papers receiving 465 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 213
- Molecular Biology 323
- Oncology 98
- Applied Microbiology and Biotechnology 6
- Pulmonary and Respiratory Medicine 90
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 | 201 | |
| 2 | 2011 | 69 | |
| 3 | 2020 | 26 | |
| 4 | 2023 | 24 | |
| 5 | 2019 | 24 | |
| 6 | 2020 | 20 | |
| 7 | 2023 | 15 | |
| 8 | 2020 | 15 | |
| 9 | 2024 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2025 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 2 | |
| 17 | [Quantitative genetic analysis and multiple trait selection of pharmaceutical composition on Ginkgo biloba L. leaves]. | 2002 | 2 |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 |
About Dejun Wu
Dejun Wu is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 19 papers that have together received 467 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Cancer Cells and Metastasis (2 papers), COVID-19 Clinical Research Studies (2 papers), Lung Cancer Research Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (213 citations), Molecular Biology (323 citations), Oncology (98 citations), Applied Microbiology and Biotechnology (6 citations) and Pulmonary and Respiratory Medicine (90 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, Peter S. Nelson, Sajni Josson and Ilsa M. Coleman. Their work appears in journals such as OncoTargets and Therapy, Scientific Reports, Oncology Reports, BMC Cancer and International Journal of Oncology.
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.