Yanyu Xiao
- Molecular Biology top 5%
- Biomaterials top 0.5%
- Pharmaceutical Science top 0.2%
- Biomedical Engineering top 5%
- Public Health, Environmental and Occupational Health top 5%
- Topics
- Nanoparticle-Based Drug Delivery (38 papers)Advanced Drug Delivery Systems (26 papers)COVID-19 epidemiological studies (18 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Yanyu Xiao
138 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 160
- Molecular Biology 1.3k
- Biomaterials 1.2k
- Pharmaceutical Science 945
- Biomedical Engineering 701
- Public Health, Environmental and Occupational Health 408
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 of co-authors of Yanyu Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Yanyu Xiao. A scholar is included among the top collaborators of Yanyu Xiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yanyu Xiao. Yanyu Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 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 | 1 |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 50 | |
| 10 | 30 | |
| 11 | 84 | |
| 12 | 141 | |
| 13 | 69 | |
| 14 | 29 | |
| 15 | 14 | |
| 16 | 5 | |
| 17 | 16 | |
| 18 | 10 | |
| 19 | Preparation of Oleanolic Acid Intravenous Emulsions and Its Pharmacokinetics in Rats | 1 |
| 20 | 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) and COVID-19 epidemiological studies (18 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.