David Wu
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 2
- Ubiquitin and proteasome pathways 1
- Gene expression and cancer classification 1
-
- Psoriasis: Treatment and Pathogenesis 2
- Co-authors
- Henry Masur (2 shared papers)Eric G. Meissner (2 shared papers)Daniel A. Lim (3 shared papers)Anthony F. Suffredini (1 shared paper)John G. McHutchison (1 shared paper)Ludmila Prokunina‐Olsson (1 shared paper)Michael A. Polis (1 shared paper)William W. Cruikshank (1 shared paper)
- Journals
- Expert Opinion on Biological Therapy (1 paper)Cell (1 paper)Nature Biotechnology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
David Wu
15 papers receiving 680 citations
Peers
Comparison fields: 5 of 70
- Hepatology 167
- Developmental Neuroscience 58
- Aging 13
- Immunology 112
- Oncology 138
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 | 2014 | 155 | |
| 2 | 2020 | 132 | |
| 3 | 2018 | 106 | |
| 4 | 2021 | 83 | |
| 5 | 1998 | 65 | |
| 6 | 2014 | 43 | |
| 7 | 2017 | 35 | |
| 8 | 2021 | 26 | |
| 9 | 2022 | 20 | |
| 10 | 2020 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2012 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2017 | 1 |
About David Wu
David Wu is a scholar working on Molecular Biology, Immunology, Hepatology, Cancer Research and Genetics, having authored 15 papers that have together received 689 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Single-cell and spatial transcriptomics (2 papers), Hepatitis C virus research (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Cancer-related molecular mechanisms research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Hepatology (167 citations), Developmental Neuroscience (58 citations), Aging (13 citations), Immunology (112 citations) and Oncology (138 citations). David Wu has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Henry Masur, Eric G. Meissner, Daniel A. Lim, Anthony F. Suffredini, John G. McHutchison, Ludmila Prokunina‐Olsson, Michael A. Polis, William W. Cruikshank, Eva Herrmann and Anindya Dutta. Their work appears in journals such as Expert Opinion on Biological Therapy, Cell, Nature Biotechnology, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.
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.