Xiaona Wei
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
-
- Computational Drug Discovery Methods
Papers in
-
- Viral gastroenteritis research and epidemiology 8
- Co-authors
- Yu Chen (6 shared papers)Yongchang Cao (11 shared papers)Chunyi Xue (7 shared papers)Feng Zhu (2 shared papers)Lianyi Han (1 shared paper)Xianghui Liu (2 shared papers)Min‐Han Tan (5 shared papers)Chanjuan Zheng (1 shared paper)
- Journals
- Poultry Science (4 papers)Nucleic Acids Research (2 papers)International Journal of Molecular Sciences (2 papers)Veterinary Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xiaona Wei
48 papers receiving 923 citations
Xiaona Wei's Hit Papers
Peers
Comparison fields: 5 of 108
- Animal Science and Zoology 149
- Computational Theory and Mathematics 169
- Infectious Diseases 157
- Molecular Biology 423
- Nephrology 42
Countries citing papers authored by Xiaona Wei
This map shows the geographic impact of Xiaona Wei'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 Xiaona Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaona Wei more than expected).
Fields of papers citing papers by Xiaona Wei
This network shows the impact of papers produced by Xiaona Wei. 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 Xiaona Wei. The network helps show where Xiaona Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaona Wei, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 218 | |
| 2 | Global Dynamics of Porcine Enteric Coronavirus PEDV Epidemiology, Evolution, and Transmission Hit paper breakdown → | 2023 | 97 |
| 3 | 2018 | 75 | |
| 4 | 2020 | 63 | |
| 5 | 2022 | 35 | |
| 6 | 2017 | 31 | |
| 7 | 2017 | 28 | |
| 8 | 2021 | 28 | |
| 9 | 2010 | 28 | |
| 10 | 2021 | 25 | |
| 11 | 2017 | 25 | |
| 12 | 2018 | 23 | |
| 13 | 2012 | 22 | |
| 14 | 2022 | 20 | |
| 15 | 2015 | 19 | |
| 16 | 2016 | 19 | |
| 17 | 2023 | 15 | |
| 18 | 2012 | 11 | |
| 19 | 2015 | 11 | |
| 20 | 2020 | 11 |
About Xiaona Wei
Xiaona Wei is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Animal Science and Zoology and Surgery, having authored 49 papers that have together received 933 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), Animal Virus Infections Studies (7 papers), Virus-based gene therapy research (5 papers), Renal Diseases and Glomerulopathies (4 papers), Microbial infections and disease research (4 papers), Computational Drug Discovery Methods (4 papers), Aquaculture disease management and microbiota (4 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Animal Science and Zoology (149 citations), Computational Theory and Mathematics (169 citations), Infectious Diseases (157 citations), Molecular Biology (423 citations) and Nephrology (42 citations). Xiaona Wei has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yu Chen, Yongchang Cao, Chunyi Xue, Feng Zhu, Lianyi Han, Xianghui Liu, Min‐Han Tan, Chanjuan Zheng, Pankaj Kumar and Lu Huang. Their work appears in journals such as Poultry Science, Nucleic Acids Research, International Journal of Molecular Sciences, Veterinary Research 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.