Wuping Li
Impact in
- Genetics top 10%
- Virus-based gene therapy research
-
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
-
- RNA Interference and Gene Delivery 4
- CRISPR and Genetic Engineering 3
- Viral Infectious Diseases and Gene Expression in Insects 3
- Bone Metabolism and Diseases 2
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- R. Jude Samulski (7 shared papers)Mavis Agbandje‐McKenna (5 shared papers)Zhijian Wu (4 shared papers)Jarrod S. Johnson (3 shared papers)Aravind Asokan (4 shared papers)D. Eugene Redmond (1 shared paper)Nina DiPrimio (2 shared papers)Thomas J. McCown (2 shared papers)
- Journals
- Molecular Therapy (4 papers)Journal of Cellular Biochemistry (1 paper)European Journal of Nutrition (1 paper)Journal of Orthopaedic Surgery and Research (1 paper)Science of Advanced Materials (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wuping Li
11 papers receiving 410 citations
Peers
Comparison fields: 5 of 59
- Genetics 289
- Molecular Biology 312
- Infectious Diseases 45
- Cardiology and Cardiovascular Medicine 53
- Oncology 58
Countries citing papers authored by Wuping Li
This map shows the geographic impact of Wuping Li'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 Wuping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wuping Li more than expected).
Fields of papers citing papers by Wuping Li
This network shows the impact of papers produced by Wuping Li. 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 Wuping Li. The network helps show where Wuping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Wuping Li, 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 | 2008 | 201 | |
| 2 | 2009 | 67 | |
| 3 | 2015 | 40 | |
| 4 | 2020 | 26 | |
| 5 | 2020 | 23 | |
| 6 | 2011 | 18 | |
| 7 | 2019 | 17 | |
| 8 | 2023 | 12 | |
| 9 | 2024 | 7 | |
| 10 | 2006 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2020 | 0 | |
| 14 | 2020 | 0 |
About Wuping Li
Wuping Li is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 413 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), RNA Interference and Gene Delivery (4 papers), CRISPR and Genetic Engineering (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Bone health and osteoporosis research (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Bone Metabolism and Diseases (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Genetics (289 citations), Molecular Biology (312 citations), Infectious Diseases (45 citations), Cardiology and Cardiovascular Medicine (53 citations) and Oncology (58 citations). Wuping Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include R. Jude Samulski, Mavis Agbandje‐McKenna, Zhijian Wu, Jarrod S. Johnson, Aravind Asokan, D. Eugene Redmond, Nina DiPrimio, Thomas J. McCown, Norman E. Sharpless and Stefan W. Leichtle. Their work appears in journals such as Molecular Therapy, Journal of Cellular Biochemistry, European Journal of Nutrition, Journal of Orthopaedic Surgery and Research and Science of Advanced Materials.
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.