Daqing Wu
Impact in
- Transplantation top 5%
- Cancer Research top 10%
Papers in
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- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 4
- Epigenetics and DNA Methylation 4
- Ubiquitin and proteasome pathways 3
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- Prostate Cancer Treatment and Research 13
- Co-authors
- Leland W.K. Chung (13 shared papers)Haiyen E. Zhau (12 shared papers)David M. Terrian (5 shared papers)Fray F. Marshall (7 shared papers)Shareen A. Iqbal (7 shared papers)Shumin Zhang (10 shared papers)Chia‐Ling Hsieh (3 shared papers)Wen‐Chin Huang (6 shared papers)
- Journals
- The Prostate (5 papers)The Journal of Urology (3 papers)Cancer Research (3 papers)Oncogene (3 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)
- Partner nations
- United StatesChinaGeorgia
In The Last Decade
Daqing Wu
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Transplantation 79
- Cancer Research 230
- Oncology 382
- Molecular Biology 851
- Immunology and Allergy 63
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 113 | |
| 2 | 2014 | 109 | |
| 3 | 2011 | 103 | |
| 4 | Protein kinase cepsilon has the potential to advance the recurrence of human prostate cancer. | 2002 | 101 |
| 5 | 2010 | 93 | |
| 6 | 2006 | 91 | |
| 7 | 2003 | 91 | |
| 8 | 2007 | 85 | |
| 9 | 2017 | 75 | |
| 10 | 2006 | 61 | |
| 11 | 2016 | 61 | |
| 12 | 2006 | 59 | |
| 13 | 2012 | 47 | |
| 14 | 2016 | 44 | |
| 15 | 2004 | 41 | |
| 16 | 2002 | 41 | |
| 17 | 2010 | 40 | |
| 18 | 2012 | 38 | |
| 19 | 2016 | 32 | |
| 20 | 2009 | 31 |
About Daqing Wu
Daqing Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (13 papers), Advanced biosensing and bioanalysis techniques (6 papers), Bone health and treatments (5 papers), RNA Interference and Gene Delivery (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer, Lipids, and Metabolism (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Transplantation (79 citations), Cancer Research (230 citations), Oncology (382 citations), Molecular Biology (851 citations) and Immunology and Allergy (63 citations). Daqing Wu has collaborated with scholars based in United States, China and Georgia. 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, Wen‐Chin Huang, Takeo Nomura and Majd Zayzafoon. Their work appears in journals such as The Prostate, The Journal of Urology, Cancer Research, Oncogene and Cancer Epidemiology Biomarkers & Prevention.
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.