Shaoqiang Wu
- Parasitology top 1%
- Vector-borne infectious diseases 5
- Infectious Diseases top 5%
- Viral Infections and Vectors 14
- Viral gastroenteritis research and epidemiology 7
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 15
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- Vector-Borne Animal Diseases 15
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology 11
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- Virus-based gene therapy research 9
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- Aquaculture disease management and microbiota 9
- Co-authors
- Xiangmei LinChunyan FengJizhou LvYongning ZhangGuangle JiaXiangfen YuanJunhua DengCaixia Wang
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shaoqiang Wu
62 papers receiving 896 citations
Peers
Comparison fields: 5 of 87
- Parasitology 356
- Infectious Diseases 390
- Animal Science and Zoology 151
- Ecology, Evolution, Behavior and Systematics 240
- Agronomy and Crop Science 93
Countries citing papers authored by Shaoqiang Wu
This map shows the geographic impact of Shaoqiang 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 Shaoqiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoqiang Wu more than expected).
Fields of papers citing papers by Shaoqiang Wu
This network shows the impact of papers produced by Shaoqiang 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 Shaoqiang Wu. The network helps show where Shaoqiang Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaoqiang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 8 | |
| 11 | 2018 | 18 | |
| 12 | 2018 | 6 | |
| 13 | 2016 | 11 | |
| 14 | Establishment of multiplex PCR for detection of myostatin knockout pigs. | 2015 | 1 |
| 15 | 2015 | 2 | |
| 16 | 2013 | 6 | |
| 17 | 2013 | 26 | |
| 18 | 2013 | 83 | |
| 19 | Establishment of RT-qPCR assay for differentiation of vaccine strain and virulent wild strain of peste des petits ruminants virus (PPRV). | 2012 | 0 |
| 20 | Detection of African Swine Fever Virus (ASFV) by Loop-mediated Isothermal Amplification Method | 2010 | 1 |
About Shaoqiang Wu
Shaoqiang Wu is a scholar working on Animal Science and Zoology, Parasitology and Infectious Diseases, having authored 70 papers that have together received 909 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (15 papers), Vector-Borne Animal Diseases (15 papers), Viral Infections and Vectors (14 papers), Animal Disease Management and Epidemiology (11 papers), Virus-based gene therapy research (9 papers), Aquaculture disease management and microbiota (9 papers), Viral gastroenteritis research and epidemiology (7 papers) and Vector-borne infectious diseases (5 papers). The work is most often cited by research in Parasitology (356 citations), Infectious Diseases (390 citations) and Animal Science and Zoology (151 citations). Shaoqiang Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiangmei Lin, Chunyan Feng, Jizhou Lv, Yongning Zhang, Guangle Jia, Xiangfen Yuan, Junhua Deng, Caixia Wang, Lin Mei and Yan Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.