Daqing Wu
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Prostate Cancer Treatment and Research 26
- Oncology 10
- Cancer Cells and Metastasis 5
- Bone health and treatments 3
- Co-authors
- Leland W.K. Chung (12 shared papers)Haiyen E. Zhau (10 shared papers)David M. Terrian (5 shared papers)Fray F. Marshall (5 shared papers)Shareen A. Iqbal (7 shared papers)Shumin Zhang (10 shared papers)Chia‐Ling Hsieh (3 shared papers)Takeo Nomura (4 shared papers)
- Journals
- The Prostate (5 papers)Oncogene (3 papers)British Journal of Cancer (2 papers)Neoplasia (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Daqing Wu
52 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Transplantation 87
- Oncology 327
- Pulmonary and Respiratory Medicine 445
- Cancer Research 141
- Molecular Biology 659
Countries citing papers authored by Daqing Wu
This map shows the geographic impact of Daqing 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 Daqing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daqing Wu more than expected).
Fields of papers citing papers by Daqing Wu
This network shows the impact of papers produced by Daqing 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 Daqing Wu. The network helps show where Daqing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daqing 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 124 | |
| 2 | 2014 | 120 | |
| 3 | 2007 | 115 | |
| 4 | 2011 | 109 | |
| 5 | Protein kinase cepsilon has the potential to advance the recurrence of human prostate cancer. | 2002 | 104 |
| 6 | 2010 | 102 | |
| 7 | 2006 | 98 | |
| 8 | 2003 | 94 | |
| 9 | 2007 | 93 | |
| 10 | 2017 | 79 | |
| 11 | 2016 | 64 | |
| 12 | 2006 | 63 | |
| 13 | 2006 | 62 | |
| 14 | 2012 | 49 | |
| 15 | 2016 | 45 | |
| 16 | 2004 | 42 | |
| 17 | 2002 | 41 | |
| 18 | 2010 | 40 | |
| 19 | 2012 | 39 | |
| 20 | 2016 | 35 |
About Daqing Wu
Daqing Wu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Transplantation and Immunology and Allergy, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (26 papers), Cancer Cells and Metastasis (5 papers), RNA Interference and Gene Delivery (4 papers), Bone health and treatments (3 papers), Cell death mechanisms and regulation (3 papers), Mechanisms of cancer metastasis (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Transplantation (87 citations), Oncology (327 citations), Pulmonary and Respiratory Medicine (445 citations), Cancer Research (141 citations) and Molecular Biology (659 citations). Daqing Wu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Leland W.K. Chung, Haiyen E. Zhau, David M. Terrian, Fray F. Marshall, Shareen A. Iqbal, Shumin Zhang, Chia‐Ling Hsieh, Takeo Nomura, Wen‐Chin Huang and Majd Zayzafoon. Their work appears in journals such as The Prostate, Oncogene, British Journal of Cancer, Neoplasia and Clinical Cancer Research.
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.