Lily Wu
- Genetics top 0.5%
- Virus-based gene therapy research 52
- Immunology top 1%
- Oncology top 1%
- Molecular Biology top 1%
- RNA Interference and Gene Delivery 28
- Viral Infectious Diseases and Gene Expression in Insects 17
- Epigenetics and DNA Methylation 12
- bioluminescence and chemiluminescence research 11
- Cancer Research top 1%
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- Lipoproteins and Cardiovascular Health 22
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- Prostate Cancer Treatment and Research 22
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- Diabetes, Cardiovascular Risks, and Lipoproteins 20
- Co-authors
- James T. WuPaul N. HopkinsSteven C. HuntArnold BerkChiuan-Chian ChiouPi-Yueh ChangSaul J. PricemanSanjiv S. Gambhir
- Cited by
- GeneticsImmunologyOncology
- Journals
- Cancer Research (9 papers)Journal of Clinical Laboratory Analysis (8 papers)Clinica Chimica Acta (7 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Lily Wu
215 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Genetics 2.8k
- Immunology 2.1k
- Oncology 2.2k
- Molecular Biology 5.6k
- Cancer Research 1.2k
Countries citing papers authored by Lily Wu
This map shows the geographic impact of Lily 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 Lily Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lily Wu more than expected).
Fields of papers citing papers by Lily Wu
This network shows the impact of papers produced by Lily 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 Lily Wu. The network helps show where Lily Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lily 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2019 | 25 | |
| 5 | 2016 | 81 | |
| 6 | 2015 | 149 | |
| 7 | 2015 | 97 | |
| 8 | CSF1R Signaling Blockade Stanches Tumor-Infiltrating Myeloid Cells and Improves the Efficacy of Radiotherapy in Prostate Cancerbreakdown → | 2013 | 467 |
| 9 | 2013 | 252 | |
| 10 | 2013 | 0 | |
| 11 | 2011 | 17 | |
| 12 | 2011 | 12 | |
| 13 | 2010 | 42 | |
| 14 | 2010 | 281 | |
| 15 | 2009 | 54 | |
| 16 | 2008 | 131 | |
| 17 | 2007 | 11 | |
| 18 | 2007 | 6 | |
| 19 | 2007 | 1 | |
| 20 | 2005 | 152 |
About Lily Wu
Lily Wu is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 222 papers that have together received 13.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (52 papers), RNA Interference and Gene Delivery (28 papers), Lipoproteins and Cardiovascular Health (22 papers), Prostate Cancer Treatment and Research (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Viral Infectious Diseases and Gene Expression in Insects (17 papers), Epigenetics and DNA Methylation (12 papers) and bioluminescence and chemiluminescence research (11 papers). The work is most often cited by research in Genetics (2.8k citations), Immunology (2.1k citations) and Oncology (2.2k citations). Lily Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include James T. Wu, Paul N. Hopkins, Steven C. Hunt, Arnold Berk, Chiuan-Chian Chiou, Pi-Yueh Chang, Saul J. Priceman, Sanjiv S. Gambhir, Roger R. Williams and Mai Johnson. Their work appears in journals such as Cancer Research, Journal of Clinical Laboratory Analysis, Clinica Chimica Acta, Arteriosclerosis Thrombosis and Vascular Biology and Molecular Therapy.
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.