Da Shi
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Signaling Pathways in Disease
Papers in
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- Animal Virus Infections Studies 8
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- Viral gastroenteritis research and epidemiology 6
- Co-authors
- Kirill A. Afonin (3 shared papers)Marina A. Dobrovolskaia (3 shared papers)Damian Beasock (2 shared papers)Adam B. Fessler (1 shared paper)János Szebeni (1 shared paper)Julia Y. Ljubimova (1 shared paper)Ruben A Abagyan (19 shared papers)Gary M. Fiskum (2 shared papers)
- Journals
- PLoS neglected tropical diseases (2 papers)Journal of Neurochemistry (2 papers)Nanoscale (2 papers)Veterinary Microbiology (2 papers)Journal of Chemical Information and Modeling (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Da Shi
78 papers receiving 2.0k citations
Da Shi's Hit Papers
Peers
Comparison fields: 5 of 143
- Biomaterials 189
- Molecular Biology 724
- Oncology 255
- Cancer Research 130
- Clinical Biochemistry 56
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 80 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 | 417 |
| 2 | 2020 | 107 | |
| 3 | 2011 | 98 | |
| 4 | 2000 | 95 | |
| 5 | 2010 | 93 | |
| 6 | 2007 | 91 | |
| 7 | 2023 | 83 | |
| 8 | 2009 | 81 | |
| 9 | 2023 | 67 | |
| 10 | 2021 | 53 | |
| 11 | 2020 | 52 | |
| 12 | 2020 | 48 | |
| 13 | 2014 | 41 | |
| 14 | 2017 | 36 | |
| 15 | 2020 | 32 | |
| 16 | 2014 | 31 | |
| 17 | 2017 | 30 | |
| 18 | 2020 | 28 | |
| 19 | 2013 | 27 | |
| 20 | 2017 | 27 |
About Da Shi
Da Shi is a scholar working on Animal Science and Zoology, Infectious Diseases, Pharmacology, Molecular Biology and Genetics, having authored 80 papers that have together received 2.1k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Pharmacogenetics and Drug Metabolism (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Virus-based gene therapy research (5 papers), Computational Drug Discovery Methods (4 papers), RNA Interference and Gene Delivery (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Biomaterials (189 citations), Molecular Biology (724 citations), Oncology (255 citations), Cancer Research (130 citations) and Clinical Biochemistry (56 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, Adam B. Fessler, János Szebeni, Julia Y. Ljubimova, Ruben A Abagyan, Gary M. Fiskum, Su Xu and Rao P. Gullapalli. Their work appears in journals such as PLoS neglected tropical diseases, Journal of Neurochemistry, Nanoscale, Veterinary Microbiology and Journal of Chemical Information and Modeling.
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.