Xiaodong Wu
Impact in
- Agronomy and Crop Science top 0.5%
- Animal Disease Management and Epidemiology
-
- Vector-Borne Animal Diseases
Papers in
- Epidemiology 21
- Virology and Viral Diseases 15
- Co-authors
- Zhiliang Wang (20 shared papers)Lin Li (20 shared papers)Fuxiao Liu (12 shared papers)Jingyue Bao (13 shared papers)Xiaofeng Zhu (10 shared papers)Shengqiang Ge (8 shared papers)Amy Luke (7 shared papers)Donghui Kan (8 shared papers)
- Journals
- Medical Physics (8 papers)Transboundary and Emerging Diseases (7 papers)Scientific Reports (4 papers)Virus Research (3 papers)Diabetes (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaodong Wu
161 papers receiving 3.9k citations
Xiaodong Wu's Hit Papers
Peers
Comparison fields: 5 of 158
- Agronomy and Crop Science 800
- Ecology, Evolution, Behavior and Systematics 569
- Infectious Diseases 544
- Biological Psychiatry 69
- Immunology 545
Countries citing papers authored by Xiaodong Wu
This map shows the geographic impact of Xiaodong Wu'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 Xiaodong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Wu more than expected).
Fields of papers citing papers by Xiaodong Wu
This network shows the impact of papers produced by Xiaodong Wu. 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 Xiaodong Wu. The network helps show where Xiaodong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodong Wu, 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 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular Characterization of African Swine Fever Virus, China, 2018 Hit paper breakdown → | 2018 | 296 |
| 2 | 2008 | 216 | |
| 3 | 2005 | 155 | |
| 4 | 2000 | 129 | |
| 5 | 2002 | 120 | |
| 6 | 2020 | 118 | |
| 7 | 2009 | 115 | |
| 8 | 2013 | 95 | |
| 9 | 2004 | 92 | |
| 10 | 2022 | 78 | |
| 11 | 2019 | 77 | |
| 12 | 1996 | 76 | |
| 13 | 2015 | 65 | |
| 14 | 2022 | 65 | |
| 15 | 2016 | 63 | |
| 16 | 2019 | 63 | |
| 17 | 2005 | 55 | |
| 18 | 2003 | 54 | |
| 19 | 2012 | 53 | |
| 20 | 2014 | 49 |
About Xiaodong Wu
Xiaodong Wu is a scholar working on Molecular Biology, Epidemiology, Agronomy and Crop Science, Genetics and Infectious Diseases, having authored 171 papers that have together received 4.0k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (21 papers), Vector-Borne Animal Diseases (15 papers), Virology and Viral Diseases (15 papers), Advanced Radiotherapy Techniques (14 papers), Viral Infections and Immunology Research (13 papers), Animal Ecology and Behavior Studies (12 papers), Genetic Associations and Epidemiology (12 papers) and Management of metastatic bone disease (10 papers). The work is most often cited by research in Agronomy and Crop Science (800 citations), Ecology, Evolution, Behavior and Systematics (569 citations), Infectious Diseases (544 citations), Biological Psychiatry (69 citations) and Immunology (545 citations). Xiaodong Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhiliang Wang, Lin Li, Fuxiao Liu, Jingyue Bao, Xiaofeng Zhu, Shengqiang Ge, Amy Luke, Donghui Kan, Qinghua Wang and Chunju Liu. Their work appears in journals such as Medical Physics, Transboundary and Emerging Diseases, Scientific Reports, Virus Research and Diabetes.
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.