Dawei Wu
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 31
- Cancer Immunotherapy and Biomarkers 12
- Co-authors
- Hao Wang (19 shared papers)Jing Huang (6 shared papers)Hongnan Mo (7 shared papers)Haipeng Guo (14 shared papers)Xuelian Chen (5 shared papers)Dong Qu (4 shared papers)Bo Lan (6 shared papers)Binghe Xu (5 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)The Lancet Oncology (2 papers)International Immunopharmacology (2 papers)Journal of Clinical Oncology (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dawei Wu
104 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Oncology 681
- Cancer Research 250
- Critical Care and Intensive Care Medicine 78
- Pulmonary and Respiratory Medicine 491
- Applied Microbiology and Biotechnology 30
Countries citing papers authored by Dawei Wu
This map shows the geographic impact of Dawei 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 Dawei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Wu more than expected).
Fields of papers citing papers by Dawei Wu
This network shows the impact of papers produced by Dawei 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 Dawei Wu. The network helps show where Dawei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 149 | |
| 2 | 2016 | 129 | |
| 3 | 2018 | 122 | |
| 4 | 2019 | 118 | |
| 5 | 2022 | 87 | |
| 6 | 2021 | 75 | |
| 7 | 2015 | 73 | |
| 8 | 2019 | 63 | |
| 9 | 2018 | 61 | |
| 10 | 2021 | 54 | |
| 11 | 2018 | 53 | |
| 12 | 2019 | 46 | |
| 13 | 2015 | 45 | |
| 14 | 2014 | 38 | |
| 15 | 2019 | 37 | |
| 16 | 2015 | 32 | |
| 17 | 2011 | 29 | |
| 18 | 2012 | 29 | |
| 19 | 2014 | 29 | |
| 20 | 2021 | 28 |
About Dawei Wu
Dawei Wu is a scholar working on Oncology, Molecular Biology, Surgery, Epidemiology and Pulmonary and Respiratory Medicine, having authored 111 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Ethics in Clinical Research (8 papers), Cancer Genomics and Diagnostics (8 papers), Biomedical Ethics and Regulation (6 papers), Sepsis Diagnosis and Treatment (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Coronary Artery Anomalies (5 papers). The work is most often cited by research in Oncology (681 citations), Cancer Research (250 citations), Critical Care and Intensive Care Medicine (78 citations), Pulmonary and Respiratory Medicine (491 citations) and Applied Microbiology and Biotechnology (30 citations). Dawei Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hao Wang, Jing Huang, Hongnan Mo, Haipeng Guo, Xuelian Chen, Dong Qu, Bo Lan, Binghe Xu, Chen Li and Weidong Qin. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Lancet Oncology, International Immunopharmacology, Journal of Clinical Oncology and Frontiers in Pharmacology.
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.