David Wu
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- RNA modifications and cancer 2
- Pluripotent Stem Cells Research 1
- Renal and related cancers 1
- Genetics 4
- Co-authors
- Tsutomu Nobori (3 shared papers)Dennis A. Carson (2 shared papers)Augusto F. Lois (1 shared paper)Kaoru Miura (1 shared paper)Kenji Takabayashi (1 shared paper)Michael Karin (2 shared papers)José-Luis Castrillo (2 shared papers)Lars E. Theill (1 shared paper)
- Journals
- Stem Cell Research (4 papers)Nature (2 papers)Analytical Biochemistry (1 paper)Cell (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
David Wu
10 papers receiving 1.7k citations
David Wu's Hit Papers
Peers
Comparison fields: 5 of 85
- Oncology 806
- Cancer Research 323
- Molecular Biology 975
- Endocrinology, Diabetes and Metabolism 176
- Biotechnology 87
Countries citing papers authored by David Wu
This map shows the geographic impact of David 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 David Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wu more than expected).
Fields of papers citing papers by David Wu
This network shows the impact of papers produced by David 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 David Wu. The network helps show where David Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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
| # | Work | ||
|---|---|---|---|
| 1 | Deletions of the cyclin-dependent kinase-4 inhibitor gene in multiple human cancers Hit paper breakdown → | 1994 | 1471 |
| 2 | 1989 | 220 | |
| 3 | 1988 | 80 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 1992 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 1991 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About David Wu
David Wu is a scholar working on Molecular Biology, Genetics, Neurology, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (2 papers), RNA modifications and cancer (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Cancer Genomics and Diagnostics (1 paper), Pluripotent Stem Cells Research (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Renal and related cancers (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Oncology (806 citations), Cancer Research (323 citations), Molecular Biology (975 citations), Endocrinology, Diabetes and Metabolism (176 citations) and Biotechnology (87 citations). David Wu has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Tsutomu Nobori, Dennis A. Carson, Augusto F. Lois, Kaoru Miura, Kenji Takabayashi, Michael Karin, José-Luis Castrillo, Lars E. Theill, E. Brad Thompson and Jeannine S. Strobl. Their work appears in journals such as Stem Cell Research, Nature, Analytical Biochemistry, Cell and Science Translational Medicine.
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.