Leaf Huang
- Biomaterials top 0.01%
- Nanoparticle-Based Drug Delivery 89
- Molecular Biology top 0.02%
- RNA Interference and Gene Delivery 286
- Advanced biosensing and bioanalysis techniques 120
- Lipid Membrane Structure and Behavior 78
- Immunology top 0.1%
- Immunotherapy and Immune Responses 96
- Pharmaceutical Science top 0.05%
- Genetics top 0.05%
- Virus-based gene therapy research 84
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- Nanoplatforms for cancer theranostics 52
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- Monoclonal and Polyclonal Antibodies Research 41
Leaf Huang
517 papers receiving 45.9k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Biomaterials 11.4k
- Molecular Biology 30.5k
- Immunology 9.0k
- Pharmaceutical Science 2.0k
- Genetics 7.9k
Countries citing papers authored by Leaf Huang
This map shows the geographic impact of Leaf Huang'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 Leaf Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leaf Huang more than expected).
Fields of papers citing papers by Leaf Huang
This network shows the impact of papers produced by Leaf Huang. 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 Leaf Huang. The network helps show where Leaf Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leaf Huang, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 53 | |
| 8 | 2021 | 50 | |
| 9 | 2020 | 175 | |
| 10 | 2016 | 189 | |
| 11 | 2015 | 108 | |
| 12 | 2010 | 62 | |
| 13 | 2006 | 2 | |
| 14 | 2005 | 43 | |
| 15 | 2003 | 13 | |
| 16 | Non-viral vectors for gene therapy | 1999 | 116 |
| 17 | Mutant SV40 large T antigen as a therapeutic agent for HER-2/neu-overexpressing ovarian cancer. | 1996 | 13 |
| 18 | 1996 | 39 | |
| 19 | Liposome-mediated in vivo E1A gene transfer suppressed dissemination of ovarian cancer cells that overexpress HER-2/neu. | 1995 | 72 |
| 20 | 1991 | 19 |
About Leaf Huang
Leaf Huang is a scholar working on Biomaterials, Molecular Biology and Immunology, having authored 545 papers that have together received 47.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (286 papers), Advanced biosensing and bioanalysis techniques (120 papers), Immunotherapy and Immune Responses (96 papers), Nanoparticle-Based Drug Delivery (89 papers), Virus-based gene therapy research (84 papers), Lipid Membrane Structure and Behavior (78 papers), Nanoplatforms for cancer theranostics (52 papers) and Monoclonal and Polyclonal Antibodies Research (41 papers). The work is most often cited by research in Biomaterials (11.4k citations), Molecular Biology (30.5k citations) and Immunology (9.0k citations). Leaf Huang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shyh‐Dar Li, Xiang Gao, S Li, Vladimir P. Torchilin, Kazuo Maruyama, Yuhua Wang, Alexander L. Klibanov, Lei Miao, Lei Miao and Yunching Chen. Their work appears in journals such as Gene Therapy, Molecular Therapy, Journal of Controlled Release, Biochimica et Biophysica Acta (BBA) - Biomembranes and Journal of Liposome Research.
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.