Daniel Wu
Impact in
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- Lymphoma Diagnosis and Treatment
- Oncology top 5%
- Viral-associated cancers and disorders
Papers in
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- Genomics and Chromatin Dynamics 5
- RNA Interference and Gene Delivery 4
- Chromatin Remodeling and Cancer 4
- RNA Research and Splicing 3
- Advanced biosensing and bioanalysis techniques 3
- Oncology 12
- Viral-associated cancers and disorders 4
- Co-authors
- Rachel Roberson (5 shared papers)Steven J. Kussick (2 shared papers)William H. Schubach (4 shared papers)Eric Vallières (1 shared paper)Brian Skinnider (2 shared papers)Joseph M. Connors (2 shared papers)Andrew J. Coldman (2 shared papers)Patricia Aoun (2 shared papers)
- Journals
- Blood (2 papers)Molecular and Cellular Biology (2 papers)Journal of Virology (2 papers)International Journal of Cancer (2 papers)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesCanadaBulgaria
In The Last Decade
Daniel Wu
36 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 97
- Pathology and Forensic Medicine 718
- Oncology 681
- Dermatology 169
- Genetics 164
- Immunology 315
Countries citing papers authored by Daniel Wu
This map shows the geographic impact of Daniel 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 Daniel Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wu more than expected).
Fields of papers citing papers by Daniel Wu
This network shows the impact of papers produced by Daniel 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 Daniel Wu. The network helps show where Daniel Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 381 | |
| 2 | 1999 | 335 | |
| 3 | 2005 | 333 | |
| 4 | 2002 | 209 | |
| 5 | 1999 | 132 | |
| 6 | 1996 | 116 | |
| 7 | 2012 | 107 | |
| 8 | 2010 | 74 | |
| 9 | 2013 | 67 | |
| 10 | 2000 | 58 | |
| 11 | 2014 | 42 | |
| 12 | 2020 | 41 | |
| 13 | 2002 | 40 | |
| 14 | Accelerated cellular senescence in solid tumor therapy. | 2012 | 40 |
| 15 | 2006 | 39 | |
| 16 | 2002 | 35 | |
| 17 | 2003 | 28 | |
| 18 | 2011 | 25 | |
| 19 | 2008 | 24 | |
| 20 | 2008 | 24 |
About Daniel Wu
Daniel Wu is a scholar working on Molecular Biology, Oncology, Physiology, Genetics and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 2.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), Genomics and Chromatin Dynamics (5 papers), RNA Interference and Gene Delivery (4 papers), Viral-associated cancers and disorders (4 papers), Chromatin Remodeling and Cancer (4 papers), RNA Research and Splicing (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (718 citations), Oncology (681 citations), Dermatology (169 citations), Genetics (164 citations) and Immunology (315 citations). Daniel Wu has collaborated with scholars based in United States, Canada and Bulgaria. Frequent co-authors include Rachel Roberson, Steven J. Kussick, William H. Schubach, Eric Vallières, Brian Skinnider, Joseph M. Connors, Andrew J. Coldman, Patricia Aoun, Julie M. Vose and Randy D. Gascoyne. Their work appears in journals such as Blood, Molecular and Cellular Biology, Journal of Virology, International Journal of Cancer and Journal of Lipid 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.