Patrick Y. Lu
Impact in
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 17
- Angiogenesis and VEGF in Cancer 2
- Genetics 3
- Virus-based gene therapy research 3
- Co-authors
- Martin C. Woodle (15 shared papers)Frank Y. Xie (7 shared papers)Wen Tan (1 shared paper)Xun Zhu (1 shared paper)Hongguang Sun (1 shared paper)Roberto R. Rosato (1 shared paper)Youli Zu (1 shared paper)Qingquan Tang (4 shared papers)
- Journals
- American Journal Of Pathology (3 papers)Journal of Cosmetic Dermatology (2 papers)Human Gene Therapy (2 papers)Gene Therapy (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Patrick Y. Lu
29 papers receiving 2.1k citations
Patrick Y. Lu's Hit Papers
Peers
Comparison fields: 5 of 66
- Molecular Biology 978
- Biomaterials 97
- Infectious Diseases 115
- Cancer Research 69
- Ophthalmology 37
Countries citing papers authored by Patrick Y. Lu
This map shows the geographic impact of Patrick Y. Lu'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 Patrick Y. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Y. Lu more than expected).
Fields of papers citing papers by Patrick Y. Lu
This network shows the impact of papers produced by Patrick Y. Lu. 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 Patrick Y. Lu. The network helps show where Patrick Y. Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Y. Lu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oligonucleotide Aptamers: New Tools for Targeted Cancer Therapy Hit paper breakdown → | 2014 | 476 |
| 2 | 2005 | 371 | |
| 3 | 2004 | 204 | |
| 4 | 2005 | 162 | |
| 5 | 2006 | 150 | |
| 6 | 2012 | 91 | |
| 7 | 2004 | 81 | |
| 8 | 2008 | 81 | |
| 9 | 1996 | 69 | |
| 10 | 2009 | 60 | |
| 11 | siRNA-mediated antitumorigenesis for drug target validation and therapeutics. | 2003 | 58 |
| 12 | 2005 | 57 | |
| 13 | 2015 | 50 | |
| 14 | 2017 | 50 | |
| 15 | 2008 | 49 | |
| 16 | 2005 | 35 | |
| 17 | 1999 | 32 | |
| 18 | 2008 | 29 | |
| 19 | 2008 | 24 | |
| 20 | 2005 | 20 |
About Patrick Y. Lu
Patrick Y. Lu is a scholar working on Molecular Biology, Genetics, Dermatology, Infectious Diseases and Surgery, having authored 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (17 papers), Virus-based gene therapy research (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Dermatologic Treatments and Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Body Contouring and Surgery (1 paper). The work is most often cited by research in Molecular Biology (978 citations), Biomaterials (97 citations), Infectious Diseases (115 citations), Cancer Research (69 citations) and Ophthalmology (37 citations). Patrick Y. Lu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Martin C. Woodle, Frank Y. Xie, Wen Tan, Xun Zhu, Hongguang Sun, Roberto R. Rosato, Youli Zu, Qingquan Tang, Archibald James Mixson and Nanshan Zhong. Their work appears in journals such as American Journal Of Pathology, Journal of Cosmetic Dermatology, Human Gene Therapy, Gene Therapy and Nature 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.