Da Shi
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Molecular Biology top 10%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
Papers in ⓘ
-
- RNA Interference and Gene Delivery 4
- Oncology 14
- Drug Transport and Resistance Mechanisms 7
- Co-authors
- Kirill A. Afonin (3 shared papers)Marina A. Dobrovolskaia (3 shared papers)Damian Beasock (2 shared papers)János Szebeni (1 shared paper)Julia Y. Ljubimova (1 shared paper)Adam B. Fessler (1 shared paper)Ruben Abagyan (19 shared papers)Gary Fiskum (2 shared papers)
- Journals
- Nanoscale (2 papers)PLoS neglected tropical diseases (2 papers)Journal of Chemical Information and Modeling (2 papers)Veterinary Microbiology (2 papers)Journal of Neurochemistry (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Da Shi
82 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Biomaterials 169
- Molecular Biology 729
- Oncology 281
- Cancer Research 150
- Clinical Biochemistry 58
Countries citing papers authored by Da Shi
This map shows the geographic impact of Da Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Shi more than expected).
Fields of papers citing papers by Da Shi
This network shows the impact of papers produced by Da Shi. 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 Shi. The network helps show where Da Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Shi, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | To PEGylate or not to PEGylate: Immunological properties of nanomedicine’s most popular component, polyethylene glycol and its alternatives Hit paper breakdown → | 2021 | 354 |
| 2 | 2011 | 96 | |
| 3 | 2020 | 93 | |
| 4 | 2000 | 92 | |
| 5 | 2010 | 88 | |
| 6 | 2009 | 77 | |
| 7 | 2007 | 74 | |
| 8 | 2023 | 64 | |
| 9 | 2023 | 57 | |
| 10 | 2021 | 49 | |
| 11 | 2020 | 45 | |
| 12 | 2020 | 44 | |
| 13 | 2014 | 42 | |
| 14 | 2017 | 32 | |
| 15 | 2017 | 30 | |
| 16 | 2014 | 30 | |
| 17 | 2013 | 26 | |
| 18 | 2017 | 26 | |
| 19 | 2020 | 26 | |
| 20 | 2020 | 25 |
About Da Shi
Da Shi is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Genetics and Cancer Research, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), Computational Drug Discovery Methods (4 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Biomaterials (169 citations), Molecular Biology (729 citations), Oncology (281 citations), Cancer Research (150 citations) and Clinical Biochemistry (58 citations). Da Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kirill A. Afonin, Marina A. Dobrovolskaia, Damian Beasock, János Szebeni, Julia Y. Ljubimova, Adam B. Fessler, Ruben Abagyan, Gary Fiskum, Su Xu and Rao P. Gullapalli. Their work appears in journals such as Nanoscale, PLoS neglected tropical diseases, Journal of Chemical Information and Modeling, Veterinary Microbiology and Journal of Neurochemistry.
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.