Da Sun
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 18
- Retinal Development and Disorders 7
-
- Nanoparticle-Based Drug Delivery 2
- Co-authors
- Zheng‐Rong Lu (24 shared papers)Amita M. Vaidya (9 shared papers)Krzysztof Palczewski (9 shared papers)Nadia R. Ayat (5 shared papers)Fanglian Yao (3 shared papers)Songqi Gao (9 shared papers)Junjie Li (2 shared papers)Akiko Maeda (6 shared papers)
- Journals
- Bioconjugate Chemistry (5 papers)Pharmaceutical Research (4 papers)Molecular Therapy — Nucleic Acids (2 papers)Journal of Controlled Release (1 paper)ACS Nano (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Da Sun
34 papers receiving 1.1k citations
Da Sun's Hit Papers
Peers
Comparison fields: 5 of 80
- Cancer Research 181
- Biomaterials 157
- Pharmaceutical Science 69
- Molecular Biology 530
- Drug Discovery 2
Countries citing papers authored by Da Sun
This map shows the geographic impact of Da Sun'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 Da Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Sun more than expected).
Fields of papers citing papers by Da Sun
This network shows the impact of papers produced by Da Sun. 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 Da Sun. The network helps show where Da Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Sun, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structure and Function of Cationic and Ionizable Lipids for Nucleic Acid Delivery Hit paper breakdown → | 2023 | 180 |
| 2 | 2019 | 152 | |
| 3 | 2011 | 97 | |
| 4 | 2015 | 83 | |
| 5 | 2015 | 62 | |
| 6 | 2014 | 57 | |
| 7 | 2015 | 57 | |
| 8 | 2017 | 44 | |
| 9 | 2019 | 44 | |
| 10 | 2018 | 43 | |
| 11 | 2015 | 35 | |
| 12 | 2013 | 30 | |
| 13 | 2016 | 28 | |
| 14 | 2019 | 27 | |
| 15 | 2021 | 25 | |
| 16 | 2022 | 24 | |
| 17 | 2025 | 24 | |
| 18 | 2023 | 22 | |
| 19 | 2020 | 20 | |
| 20 | 2018 | 19 |
About Da Sun
Da Sun is a scholar working on Molecular Biology, Biomaterials, Cancer Research, Biomedical Engineering and Immunology and Allergy, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (18 papers), Retinal Development and Disorders (7 papers), Bone Tissue Engineering Materials (2 papers), Nanoparticle-Based Drug Delivery (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Cancer Research (181 citations), Biomaterials (157 citations), Pharmaceutical Science (69 citations), Molecular Biology (530 citations) and Drug Discovery (2 citations). Da Sun has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Zheng‐Rong Lu, Amita M. Vaidya, Krzysztof Palczewski, Nadia R. Ayat, Fanglian Yao, Songqi Gao, Junjie Li, Akiko Maeda, Rebecca M. Schur and Kangde Yao. Their work appears in journals such as Bioconjugate Chemistry, Pharmaceutical Research, Molecular Therapy — Nucleic Acids, Journal of Controlled Release and ACS Nano.
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.