Dehua Wu
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- RNA modifications and cancer 24
- Circular RNAs in diseases 11
-
- Cancer-related molecular mechanisms research 23
- MicroRNA in disease regulation 14
- Cancer, Hypoxia, and Metabolism 12
- Co-authors
- Li Liu (37 shared papers)Chuanhui Cao (17 shared papers)Zhong‐Yi Dong (25 shared papers)Dongyan Zhang (10 shared papers)Jingyuan Sun (12 shared papers)Yanqing Ding (3 shared papers)Xuejing Zou (9 shared papers)Ling Lei (5 shared papers)
- Journals
- Oncogene (5 papers)Frontiers in Immunology (3 papers)Cancer Research (3 papers)Gastroenterology (3 papers)Theranostics (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dehua Wu
158 papers receiving 4.1k citations
Dehua Wu's Hit Papers
Peers
Comparison fields: 5 of 161
- Cancer Research 1.5k
- Oncology 953
- Molecular Biology 2.0k
- Infectious Diseases 488
- Pulmonary and Respiratory Medicine 682
Countries citing papers authored by Dehua Wu
This map shows the geographic impact of Dehua 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 Dehua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehua Wu more than expected).
Fields of papers citing papers by Dehua Wu
This network shows the impact of papers produced by Dehua 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 Dehua Wu. The network helps show where Dehua Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dehua 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 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The clinical pathology of severe acute respiratory syndrome (SARS): a report from China Hit paper breakdown → | 2003 | 567 |
| 2 | 2019 | 233 | |
| 3 | 2014 | 213 | |
| 4 | 2020 | 163 | |
| 5 | 2019 | 163 | |
| 6 | 2016 | 150 | |
| 7 | 2018 | 97 | |
| 8 | 2011 | 93 | |
| 9 | 2004 | 88 | |
| 10 | 2015 | 79 | |
| 11 | 2008 | 78 | |
| 12 | 2016 | 77 | |
| 13 | 2016 | 76 | |
| 14 | 2018 | 75 | |
| 15 | 2020 | 70 | |
| 16 | 2023 | 69 | |
| 17 | 2018 | 69 | |
| 18 | 2013 | 65 | |
| 19 | 2021 | 62 | |
| 20 | 2016 | 58 |
About Dehua Wu
Dehua Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 172 papers that have together received 4.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (24 papers), Cancer Immunotherapy and Biomarkers (23 papers), Cancer-related molecular mechanisms research (23 papers), MicroRNA in disease regulation (14 papers), Cancer, Hypoxia, and Metabolism (12 papers), Circular RNAs in diseases (11 papers), Ferroptosis and cancer prognosis (10 papers) and Lung Cancer Treatments and Mutations (9 papers). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (953 citations), Molecular Biology (2.0k citations), Infectious Diseases (488 citations) and Pulmonary and Respiratory Medicine (682 citations). Dehua Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Li Liu, Chuanhui Cao, Zhong‐Yi Dong, Dongyan Zhang, Jingyuan Sun, Yanqing Ding, Xuejing Zou, Ling Lei, Chengdong Liu and Qin Zeng. Their work appears in journals such as Oncogene, Frontiers in Immunology, Cancer Research, Gastroenterology and Theranostics.
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.