Yanyu Xiao
- Pharmaceutical Science top 0.2%
- Advanced Drug Delivery Systems 26
- Advancements in Transdermal Drug Delivery 13
- Biomaterials top 0.5%
- Nanoparticle-Based Drug Delivery 38
- Molecular Medicine top 1%
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 18
- Pharmacology top 1%
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- RNA Interference and Gene Delivery 16
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- Nanoplatforms for cancer theranostics 11
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- Mathematical and Theoretical Epidemiology and Ecology Models 10
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- Influenza Virus Research Studies 9
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Yanyu Xiao
138 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 160
- Pharmaceutical Science 945
- Biomaterials 1.2k
- Molecular Medicine 346
- Modeling and Simulation 238
- Pharmacology 287
Countries citing papers authored by Yanyu Xiao
This map shows the geographic impact of Yanyu Xiao'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 Yanyu Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanyu Xiao more than expected).
Fields of papers citing papers by Yanyu Xiao
This network shows the impact of papers produced by Yanyu Xiao. 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 Yanyu Xiao. The network helps show where Yanyu Xiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yanyu Xiao, 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 | 2024 | 7 | |
| 3 | 2023 | 5 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 39 | |
| 6 | De-escalation by Reversing the Escalation with a Stronger Synergistic Package of Contact Tracing, Quarantine, Isolation and Personal Protection: Feasibility of Preventing a COVID-19 Rebound in Ontario, Canada, as a Case Study | 2020 | 1 |
| 7 | 2020 | 14 | |
| 8 | 2020 | 11 | |
| 9 | 2017 | 50 | |
| 10 | 2017 | 30 | |
| 11 | 2015 | 84 | |
| 12 | 2015 | 141 | |
| 13 | 2015 | 69 | |
| 14 | 2014 | 29 | |
| 15 | 2013 | 14 | |
| 16 | 2013 | 5 | |
| 17 | 2013 | 16 | |
| 18 | 2011 | 10 | |
| 19 | Preparation of Oleanolic Acid Intravenous Emulsions and Its Pharmacokinetics in Rats | 2011 | 1 |
| 20 | 2006 | 128 |
About Yanyu Xiao
Yanyu Xiao is a scholar working on Pharmaceutical Science, Modeling and Simulation and Biomaterials, having authored 140 papers that have together received 4.2k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (38 papers), Advanced Drug Delivery Systems (26 papers), COVID-19 epidemiological studies (18 papers), RNA Interference and Gene Delivery (16 papers), Advancements in Transdermal Drug Delivery (13 papers), Nanoplatforms for cancer theranostics (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and Influenza Virus Research Studies (9 papers). The work is most often cited by research in Pharmaceutical Science (945 citations), Biomaterials (1.2k citations) and Molecular Medicine (346 citations). Yanyu Xiao has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Qineng Ping, Zhipeng Chen, Sajid Asghar, Zhigui Su, Yurui Xu, Minjie Sun, Can Zhang, Jie Shen, Yang Liu and Feng Shao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.