Dawei Wu
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 22
- Cancer Immunotherapy and Biomarkers 7
- Colorectal Cancer Treatments and Studies 3
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- Signaling Pathways in Disease 4
- Co-authors
- Hao Wang (19 shared papers)Haipeng Guo (14 shared papers)Jing Huang (5 shared papers)Hongnan Mo (7 shared papers)Bo Lan (6 shared papers)Dong Qu (4 shared papers)Xuelian Chen (5 shared papers)Weidong Qin (11 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)International Immunopharmacology (2 papers)Frontiers in Oncology (2 papers)The Lancet Oncology (2 papers)BMC Infectious Diseases (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dawei Wu
108 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 123
- Oncology 517
- Cancer Research 196
- Critical Care and Intensive Care Medicine 56
- Pulmonary and Respiratory Medicine 357
- Immunology 217
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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 151 | |
| 2 | 2016 | 137 | |
| 3 | 2018 | 125 | |
| 4 | 2019 | 123 | |
| 5 | 2022 | 95 | |
| 6 | 2021 | 87 | |
| 7 | 2015 | 78 | |
| 8 | 2018 | 63 | |
| 9 | 2019 | 63 | |
| 10 | 2018 | 55 | |
| 11 | 2021 | 54 | |
| 12 | 2019 | 47 | |
| 13 | 2015 | 46 | |
| 14 | 2014 | 39 | |
| 15 | 2019 | 38 | |
| 16 | 2015 | 36 | |
| 17 | 2011 | 30 | |
| 18 | 2023 | 30 | |
| 19 | 2014 | 30 | |
| 20 | 2012 | 29 |
About Dawei Wu
Dawei Wu is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Cancer Research, having authored 114 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Ethics in Clinical Research (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Cancer Genomics and Diagnostics (5 papers), Coronary Artery Anomalies (5 papers), Biomedical Ethics and Regulation (4 papers), Signaling Pathways in Disease (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Oncology (517 citations), Cancer Research (196 citations), Critical Care and Intensive Care Medicine (56 citations), Pulmonary and Respiratory Medicine (357 citations) and Immunology (217 citations). Dawei Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hao Wang, Haipeng Guo, Jing Huang, Hongnan Mo, Bo Lan, Dong Qu, Xuelian Chen, Weidong Qin, Chen Li and Binghe Xu. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Immunopharmacology, Frontiers in Oncology, The Lancet Oncology and BMC Infectious Diseases.
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.