Wu Xiao
- Genetics top 5%
- Virus-based gene therapy research 2
- Animal Science and Zoology top 10%
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- Viral gastroenteritis research and epidemiology 1
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- Fibroblast Growth Factor Research 1
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- Viral Infections and Immunology Research 1
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- Big Data and Business Intelligence 1
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- T-cell and Retrovirus Studies 1
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- Herpesvirus Infections and Treatments 1
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- CAR-T cell therapy research 1
- Co-authors
- Jeff HughesNicholas MuzyczkaThomas J. ConlonThomas W. FerkolMavis Agbandje‐McKennaPei WuTerence R. FlotteKenneth H. Warrington
- Journals
- Journal of Virology (2 papers)Research and Exploration in Laboratory (1 paper)Canye kexue (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Wu Xiao
5 papers receiving 418 citations
Peers
Comparison fields: 5 of 43
- Genetics 392
- Animal Science and Zoology 58
- Infectious Diseases 89
- Molecular Biology 301
- Cardiology and Cardiovascular Medicine 75
Countries citing papers authored by Wu Xiao
This map shows the geographic impact of Wu Xiao'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 Wu Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Xiao more than expected).
Fields of papers citing papers by Wu Xiao
This network shows the impact of papers produced by Wu Xiao. 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 Wu Xiao. The network helps show where Wu Xiao may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Wu Xiao, 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 | Prokaryotic expression of VP2 protein of Bluetongue disease virus serotype 25 and preparation of monoclonal antibody | 2016 | 1 |
| 2 | Laboratory Information Management in Colleges and Universities | 2012 | 0 |
| 3 | Construction of A Rapid BmNPV Bac-to-Bac System for Application in Silkworm,Bombyx mori L.by Using Bacterial Transposon | 2006 | 2 |
| 4 | Expression and Activity Identification of Shortened Human Acidic Fibroblast Growth Factor | 2004 | 4 |
| 5 | 2002 | 102 | |
| 6 | 2000 | 317 |
About Wu Xiao
Wu Xiao is a scholar working on Management Information Systems, Genetics and Agronomy and Crop Science, having authored 6 papers that have together received 426 indexed citations. Recurring topics across this work include Virus-based gene therapy research (2 papers), Big Data and Business Intelligence (1 paper), Viral gastroenteritis research and epidemiology (1 paper), T-cell and Retrovirus Studies (1 paper), Viral Infections and Immunology Research (1 paper), Herpesvirus Infections and Treatments (1 paper), Fibroblast Growth Factor Research (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Genetics (392 citations), Animal Science and Zoology (58 citations) and Infectious Diseases (89 citations). Wu Xiao has collaborated with scholars based in United States, France and China. Frequent co-authors include Jeff Hughes, Nicholas Muzyczka, Thomas J. Conlon, Thomas W. Ferkol, Mavis Agbandje‐McKenna, Pei Wu, Terence R. Flotte, Kenneth H. Warrington, Patrick Hearing and Wen Cui. Their work appears in journals such as Journal of Virology, Research and Exploration in Laboratory and Canye kexue.
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.