Xiaoyan Zhou
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Animal Disease Management and Epidemiology 6
- Epidemiology 10
- Influenza Virus Research Studies 8
- Co-authors
- Fusheng Guo (7 shared papers)Vincent Martin (3 shared papers)Dirk Udo Pfeiffer (3 shared papers)Marius Gilbert (2 shared papers)Ricardo J. Soares Magalhães (9 shared papers)Xiangming Xiao (1 shared paper)Diann J. Prosser (1 shared paper)Beibei Jia (2 shared papers)
- Journals
- Transboundary and Emerging Diseases (3 papers)Scientific Reports (2 papers)BMJ Open (1 paper)BMC Medical Education (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaoyan Zhou
24 papers receiving 599 citations
Peers
Comparison fields: 5 of 102
- Agronomy and Crop Science 286
- Modeling and Simulation 46
- Epidemiology 312
- Infectious Diseases 176
- Animal Science and Zoology 36
Countries citing papers authored by Xiaoyan Zhou
This map shows the geographic impact of Xiaoyan Zhou'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 Xiaoyan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Zhou more than expected).
Fields of papers citing papers by Xiaoyan Zhou
This network shows the impact of papers produced by Xiaoyan Zhou. 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 Xiaoyan Zhou. The network helps show where Xiaoyan Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyan Zhou, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 173 | |
| 2 | 2011 | 99 | |
| 3 | 2015 | 68 | |
| 4 | 2023 | 60 | |
| 5 | 2012 | 45 | |
| 6 | 2024 | 31 | |
| 7 | 2018 | 21 | |
| 8 | 2024 | 17 | |
| 9 | 2007 | 15 | |
| 10 | 2018 | 13 | |
| 11 | 2019 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2015 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2025 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Xiaoyan Zhou
Xiaoyan Zhou is a scholar working on Agronomy and Crop Science, Epidemiology, Human-Computer Interaction, Infectious Diseases and Modeling and Simulation, having authored 26 papers that have together received 613 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (6 papers), Viral Infections and Vectors (4 papers), COVID-19 epidemiological studies (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Virtual Reality Applications and Impacts (2 papers), Interactive and Immersive Displays (2 papers) and Biochemical and biochemical processes (1 paper). The work is most often cited by research in Agronomy and Crop Science (286 citations), Modeling and Simulation (46 citations), Epidemiology (312 citations), Infectious Diseases (176 citations) and Animal Science and Zoology (36 citations). Xiaoyan Zhou has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Fusheng Guo, Vincent Martin, Dirk Udo Pfeiffer, Marius Gilbert, Ricardo J. Soares Magalhães, Xiangming Xiao, Diann J. Prosser, Beibei Jia, Baoxu Huang and John Edwards. Their work appears in journals such as Transboundary and Emerging Diseases, Scientific Reports, BMJ Open, BMC Medical Education and PLoS ONE.
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.