Dexi Liu
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Molecular Biology top 2%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- Lipid Membrane Structure and Behavior
Papers in
-
- RNA Interference and Gene Delivery 59
- CRISPR and Genetic Engineering 13
- Advanced biosensing and bioanalysis techniques 13
- Genetics 40
- Virus-based gene therapy research 34
- Co-authors
- Mingming Gao (20 shared papers)Leaf Huang (12 shared papers)Yongjie Ma (16 shared papers)Takeshi Suda (17 shared papers)Guisheng Zhang (27 shared papers)Atsuhide Mori (2 shared papers)Xiang Gao (3 shared papers)Kenya Kamimura (19 shared papers)
- Journals
- Pharmaceutical Research (11 papers)The AAPS Journal (11 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (7 papers)Journal of Liposome Research (7 papers)Molecular Therapy — Nucleic Acids (6 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Dexi Liu
166 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 176
- Biomaterials 678
- Molecular Biology 3.0k
- Genetics 1.1k
- Pharmaceutical Science 145
- Physiology 597
Countries citing papers authored by Dexi Liu
This map shows the geographic impact of Dexi Liu'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 Dexi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dexi Liu more than expected).
Fields of papers citing papers by Dexi Liu
This network shows the impact of papers produced by Dexi Liu. 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 Dexi Liu. The network helps show where Dexi Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dexi Liu, 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 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 364 | |
| 2 | 2007 | 307 | |
| 3 | 2007 | 254 | |
| 4 | 1997 | 232 | |
| 5 | 2014 | 173 | |
| 6 | 2013 | 142 | |
| 7 | 2015 | 123 | |
| 8 | 1997 | 119 | |
| 9 | 2011 | 118 | |
| 10 | 2011 | 101 | |
| 11 | 2013 | 92 | |
| 12 | 1996 | 88 | |
| 13 | 1990 | 85 | |
| 14 | 2010 | 83 | |
| 15 | 2008 | 83 | |
| 16 | 2013 | 80 | |
| 17 | 2009 | 79 | |
| 18 | 1991 | 79 | |
| 19 | 2015 | 78 | |
| 20 | 2016 | 77 |
About Dexi Liu
Dexi Liu is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Physiology and Surgery, having authored 175 papers that have together received 5.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (59 papers), Virus-based gene therapy research (34 papers), Adipose Tissue and Metabolism (17 papers), CRISPR and Genetic Engineering (13 papers), Advanced biosensing and bioanalysis techniques (13 papers), Topic Modeling (13 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Advanced Database Systems and Queries (12 papers). The work is most often cited by research in Biomaterials (678 citations), Molecular Biology (3.0k citations), Genetics (1.1k citations), Pharmaceutical Science (145 citations) and Physiology (597 citations). Dexi Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Mingming Gao, Leaf Huang, Yongjie Ma, Takeshi Suda, Guisheng Zhang, Atsuhide Mori, Xiang Gao, Kenya Kamimura, Young Song and Tan Ren. Their work appears in journals such as Pharmaceutical Research, The AAPS Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Liposome Research and Molecular Therapy — Nucleic Acids.
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.