Xiaoman Wei
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
Papers in
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- Influenza Virus Research Studies 9
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- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 and COVID-19 Research 2
- Infectious Encephalopathies and Encephalitis 1
- Co-authors
- Jie Cui (12 shared papers)Xiang Li (3 shared papers)Dhanasekaran Vijaykrishna (3 shared papers)Ruopeng Xie (2 shared papers)Kimberly M. Edwards (3 shared papers)Michelle Wille (1 shared paper)Sook‐San Wong (1 shared paper)Richard J. Webby (1 shared paper)
In The Last Decade
Xiaoman Wei
22 papers receiving 718 citations
Xiaoman Wei's Hit Papers
Peers
Comparison fields: 5 of 67
- Epidemiology 344
- Animal Science and Zoology 93
- Infectious Diseases 132
- Endocrinology 11
- Virology 7
Countries citing papers authored by Xiaoman Wei
This map shows the geographic impact of Xiaoman 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 Xiaoman Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoman Wei more than expected).
Fields of papers citing papers by Xiaoman Wei
This network shows the impact of papers produced by Xiaoman 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 Xiaoman Wei. The network helps show where Xiaoman Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoman 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The episodic resurgence of highly pathogenic avian influenza H5 virus Hit paper breakdown → | 2023 | 219 |
| 2 | 2017 | 109 | |
| 3 | 2019 | 91 | |
| 4 | 2018 | 53 | |
| 5 | 2020 | 52 | |
| 6 | 2021 | 27 | |
| 7 | 2023 | 23 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 19 | |
| 10 | 2021 | 16 | |
| 11 | Interaction between oseltamivir and herbal medicines used for treating avian influenza. | 2012 | 13 |
| 12 | 2019 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2024 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 8 | |
| 20 | 2017 | 7 |
About Xiaoman Wei
Xiaoman Wei is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Plant Science and Building and Construction, having authored 22 papers that have together received 742 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Chromosomal and Genetic Variations (4 papers), Bacteriophages and microbial interactions (2 papers), Viral gastroenteritis research and epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Anaerobic Digestion and Biogas Production (2 papers), Biofuel production and bioconversion (1 paper) and Infectious Encephalopathies and Encephalitis (1 paper). The work is most often cited by research in Epidemiology (344 citations), Animal Science and Zoology (93 citations), Infectious Diseases (132 citations), Endocrinology (11 citations) and Virology (7 citations). Xiaoman Wei has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Jie Cui, Xiang Li, Dhanasekaran Vijaykrishna, Ruopeng Xie, Kimberly M. Edwards, Michelle Wille, Sook‐San Wong, Richard J. Webby, Rabeh El‐Shesheny and Leo L. M. Poon. Their work appears in journals such as Virus Evolution, Science China Life Sciences, Journal of Virology, Nature Communications and Vaccine.
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.